ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia
Open accessAbstract
BACKGROUND: The impact of generative artificial intelligence-based Chatbots on medical education, particularly in Southeast Asia, is understudied regarding healthcare students' perceptions of its academic utility. Sociodemographic profiles and educational strategies influence prospective healthcare practitioners' attitudes toward AI tools. AIM AND OBJECTIVES: This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables. METHODOLOGY: Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics. RESULTS: Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks. CONCLUSION: This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.
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Written from the paper’s full text.
TL;DR
This cross-sectional survey of 443 undergraduate healthcare students in Malaysia found suboptimal knowledge but generally positive attitudes toward ChatGPT for academic purposes. Program, year of study, knowledge, and attitude were significant predictors of academic ChatGPT use, while gender was not.
Key findings
- Mean knowledge score was 4.1 (SD 2.3) out of 8, while mean attitude score was 37.1 (SD 3.2) out of 55, indicating suboptimal knowledge and positive attitudes.
- Academic use of ChatGPT was reported by 36.6% of participants; 74.7% used ChatGPT rarely, 13.5% weekly, 7.7% monthly, and 4.1% daily.
- In adjusted multiple logistic regression, MBBS students were more likely to use ChatGPT academically than BDS students (OR = 3.13, 95% CI 1.27–7.70, P = 0.013), FIS students more likely than BDS students (OR = 1.95, 95% CI 1.12–3.40, P = 0.018), and Year-5 students more likely than Year-1 students (OR = 3.37, 95% CI 1.59–7.16, P = 0.002).
- Higher knowledge (OR = 1.14, 95% CI 1.03–1.27, P = 0.014) and more positive attitude (OR = 1.27, 95% CI 1.18–1.37, P < 0.001) were associated with greater academic use; gender was not significant (male OR = 1.21, 95% CI 0.74–1.98, P = 0.447).
Methods
- Cross-sectional survey among 443 undergraduate students at Manipal University College Malaysia (MUCM), including MBBS, BDS, and Foundation in Science (FIS) programs; target sample size was 500, with non-probability convenience sampling and third-party recruitment.
- A validated English questionnaire covered Knowledge (9 questions), Attitude (11 questions), and Practice (8 questions); data were collected via Google Forms shared by email and social media.
- Analysis used SPSS version 29 with descriptive statistics, independent t-test, one-way ANOVA/Welch ANOVA, chi-square tests, and multiple linear and multiple logistic regression at a 0.05 significance level.
Limitations
- The paper states the study had a limited sample size and was conducted at a single institute; participants may have been apprehensive about admitting ChatGPT use due to risk of accusation.
- The paper states future studies should use larger, more diverse sampling across countries and cultural backgrounds.
- Evident from the text: the cross-sectional design, convenience sampling, and self-reported online questionnaire limit causal inference and may introduce social desirability or selection bias.
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Claims the paper makes
0 of 35 cited sources checked · 0 supported · 0 flagged
- Findingown data
A total of 443 undergraduate students from MBBS, BDS, and FIS at MUCM participated in the study.
“A total of 443 university students from three different courses Bachelor of Medicine and Bachelor of Surgery (MBBS), Bachelor of Dental Surgery (BDS), and Foundation in Science (FIS) participated in this study.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
The mean knowledge total score was 4.1 (SD 2.3) out of a possible 8.
“The overall knowledge and attitude scores ranged from a mean of 4.1 (SD = 2.3) out of a possible 8 and 37.1 (SD = 3.2) out of 55, respectively (Table 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
The mean attitude total score was 37.1 (SD 3.2) out of a possible 55.
“The overall knowledge and attitude scores ranged from a mean of 4.1 (SD = 2.3) out of a possible 8 and 37.1 (SD = 3.2) out of 55, respectively (Table 4).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Thematic analysis identified students' concerns about dependency on ChatGPT for academic tasks.
“Thematic analysis of responses showed students’ concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.”
Quote in the paperSubstantial claim- Rests on an assumption: The thematic analysis of open-ended responses captures the main limitations and concerns of the participants.
- Findingown data
A considerable percentage (17.7% to 56.9%) holds dissenting opinions on topics like ChatGPT's impact on education, the detection of ChatGPT-generated assignments by teachers, and its ethical use in academics.
“Conversely, a considerable percentage (ranging from 17.7% to 56.9%) holds dissenting opinions on topics like ChatGPT's impact on education, the detection of ChatGPT-generated assignments by teachers, and its ethical use in academics.”
Quote in the paperNot a substantial claim
- Findingown data
Thematic analysis identified students' concerns about data accuracy of ChatGPT for academic tasks.
“Thematic analysis of responses showed students’ concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.”
Quote in the paperSubstantial claim- Rests on an assumption: The thematic analysis of open-ended responses captures the main limitations and concerns of the participants.
- Findingown data
Year of study was significantly associated with attitude toward ChatGPT in univariable analysis.
“There were significant associations between the program of study, year of study and attitudes and academic use of ChatGPT (Table 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Participants express concerns about the timeliness and accuracy of information, including citations, provided by ChatGPT.
“Participants express concerns about the timeliness and accuracy of information, including citations, provided by ChatGPT.”
Quote in the paperNot a substantial claim - Findingown data
Final-year students exhibited the highest likelihood of academic ChatGPT use.
“Final-year students exhibited the highest likelihood of academic ChatGPT use.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
FIS students had significantly higher odds of academic ChatGPT use than BDS students (adjusted OR = 1.95, 95% CI 1.12-3.40, p = 0.018).
“The students attending the MBBS program (OR = 3.13; 95% CI = 1.27 to 7.7; P = 0.013) and FIS program (OR = 1.95; 95% CI = 1.12 to 3.40; P = 0.018); were more likely to use ChatGPT for academic purpose than those attending BDS program.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Each unit increase in knowledge about ChatGPT was associated with a 14% increase in odds of academic use (adjusted OR = 1.14, 95% CI 1.03-1.27, p = 0.014).
“Moreover, the students who had higher knowledge (OR = 1.14; 95% CI = 1.03 to 1.27; P = 0.014) and attitude (OR = 1.27; 95% CI = 1.18 to 1.37; P<0.001) scores were significantly more likely to use ChatGPT.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Each unit increase in attitude toward ChatGPT was associated with a 27% increase in odds of academic use (adjusted OR = 1.27, 95% CI 1.18-1.37, p < 0.001).
“Moreover, the students who had higher knowledge (OR = 1.14; 95% CI = 1.03 to 1.27; P = 0.014) and attitude (OR = 1.27; 95% CI = 1.18 to 1.37; P<0.001) scores were significantly more likely to use ChatGPT.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Program, year of study, knowledge, and attitude toward ChatGPT are significant predictors of its academic use among university students.
“The regression analysis suggests that program, year of study, knowledge, and attitude toward ChatGPT are significant predictors of its academic use among university students.”
Quote in the paperSubstantial claim - Findingnone given
Female students tend to have higher knowledge about ChatGPT.
“Female students tend to have higher knowledge about ChatGPT”
Quote in the paperNot a substantial claim - Findingown data
Year of study was significantly associated with academic use of ChatGPT in univariable analysis.
“There were significant associations between the program of study, year of study and attitudes and academic use of ChatGPT (Table 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Program of study was significantly associated with attitude toward ChatGPT in univariable analysis.
“There were significant associations between the program of study, year of study and attitudes and academic use of ChatGPT (Table 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Other year groups (Year 2, Year 3, and Year 4) did not show statistically significant associations with academic use of ChatGPT.
“Other year groups (Year 2, Year 3, and Year 4) do not show statistically significant associations with academic use of ChatGPT.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Thematic analysis identified students' concerns about ethical issues when using ChatGPT for academic tasks.
“Thematic analysis of responses showed students’ concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.”
Quote in the paperSubstantial claim- Rests on an assumption: The thematic analysis of open-ended responses captures the main limitations and concerns of the participants.
- Findingown data
65.9% of the students agreed that using ChatGPT has significantly reduced time and effort in completing academic work.
“and 65.9% of the students agreed that using ChatGPT has significantly reduced time and effort in completing academic work.”
Quote in the paperSubstantial claim - Findingown data
Some participants (9.3%) heavily relied on ChatGPT for academic purposes.
“Some did not use it (41.1%), while others heavily relied on it (9.3%).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
MBBS students had significantly higher odds of academic ChatGPT use than BDS students (adjusted OR = 3.13, 95% CI 1.27-7.70, p = 0.013).
“The students attending the MBBS program (OR = 3.13; 95% CI = 1.27 to 7.7; P = 0.013) and FIS program (OR = 1.95; 95% CI = 1.12 to 3.40; P = 0.018); were more likely to use ChatGPT for academic purpose than those attending BDS program.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Higher knowledge and positive attitudes correlated with increased academic usage of ChatGPT.
“Higher knowledge and positive attitudes correlated with increased academic usage.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
A majority of students (58.0% to 79.5%) foresee a future where AI tools like ChatGPT become commonplace.
“Interestingly, a majority of students (ranging from 58.0% to 79.5%) foresee a future where AI tools like ChatGPT become commonplace”
Quote in the paperNot a substantial claim - Findingown data
Demographic variables such as gender, program, and year of study show varying degrees of association with knowledge, attitude, and academic use of ChatGPT among university students.
“Demographic variables such as gender, program, and year of study show varying degrees of association with knowledge, attitude, and academic use of ChatGPT among university students.”
Quote in the paperSubstantial claim - Findingown data
36.6% of the students used ChatGPT for academic purposes.
“Moreover, 36.6% of the students used ChatGPT for academic purposes”
Quote in the paperNot a substantial claim - Findingown data
Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently.
“Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Some respondents mentioned using ChatGPT for internet surfing.
“Some respondents also mentioned using ChatGPT for internet surfing, suggesting a wide range of applications beyond traditional academic tasks.”
- Also stated in: § Discussion · hedged
“Notably, some participants also reported employing ChatGPT for general internet browsing, implying a broad spectrum of applications extending beyond traditional academic functions.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · hedged
- Findingown data
Program of study was significantly associated with academic use of ChatGPT in univariable analysis.
“There were significant associations between the program of study, year of study and attitudes and academic use of ChatGPT (Table 6).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Gender was not significantly associated with academic use of ChatGPT (adjusted OR for male vs female = 1.21, 95% CI 0.74-1.98, p = 0.447).
“The adjusted odds ratio (OR) for male students using ChatGPT for academic purposes compared to female students is 1.21 (95% CI: 0.74 - 1.98), but the p-value is 0.447, which is not statistically significant. This indicates that gender does not have a significant association with the academic use of ChatGPT.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Some participants (41.1%) did not use ChatGPT for academic purposes.
“Some did not use it (41.1%), while others heavily relied on it (9.3%).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Year-5 students had significantly higher odds of academic ChatGPT use than Year-1 students (adjusted OR = 3.37, 95% CI 1.59-7.16, p = 0.002).
“Regarding the year of study, year-5 students were significantly more likely to use ChatGPT for academic purposes than year-1 students (OR = 3.37; 95% CI = 1.59 to 7.16; P = 0.002).”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students.
“MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Findingown data
Respondents are aware of various tools and methods that can be used for academic purposes, similar to ChatGPT.
“Responses regarding knowledge about other tools or methods similar to ChatGPT that can be used for academic purposes showed that they are aware of various tools and methods that can be used for academic purposes, similar to ChatGPT.”
Quote in the paperNot a substantial claim - Findingown data
Gender does not seem to have a significant influence on the academic use of ChatGPT in this study.
“However, gender does not seem to have a significant influence on the academic use of ChatGPT in this study.”
Quote in the paperNot a substantial claim - Findingown data
Thematic analysis identified students' concerns about plagiarism when using ChatGPT for academic tasks.
“Thematic analysis of responses showed students’ concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.”
Quote in the paperSubstantial claim- Rests on an assumption: The thematic analysis of open-ended responses captures the main limitations and concerns of the participants.
- Findingown data
A substantial portion of students (37.5% to 49.0%) express agreement or strong agreement regarding various aspects of ChatGPT's capabilities, such as its accuracy, data retrieval, and potential to produce better results than themselves in examinations or assignments.
“Notably, a substantial portion of students (ranging from 37.5% to 49.0%) express agreement or strong agreement regarding various aspects of ChatGPT's capabilities, such as its accuracy, data retrieval, and potential to produce better results than themselves in examinations or assignments.”
Quote in the paperSubstantial claim - Findingown data
47.6% of them verified the accuracy of the information given by ChatGPT.
“47.6% of them verified the accuracy of the information given by ChatGPT.”
Quote in the paperNot a substantial claim - Findingown data
41.1% mentioned not using ChatGPT for assignments at all, opting to complete their assignments without its assistance.
“Others mentioned not using ChatGPT for assignments at all (41.1%), opting to complete their assignments without its assistance.”
Quote in the paperNot a substantial claim - Findingown data
Present study results suggest that ChatGPT is not used frequently, with most students utilizing it rarely.
“Present study results on the Practice of ChatGPT suggest that ChatGPT is not used frequently, with most students utilizing it rarely.”
Quote in the paperNot a substantial claim - Findingown data
9.3% of users rely on ChatGPT to complete the majority of their assignments and submit them without making revisions.
“There are also responses indicating that some users rely on ChatGPT to complete the majority of their assignments (9.3%) and submit them without making revisions.”
Quote in the paperNot a substantial claim - Findingown data
49% of the respondents stated they will continue using ChatGPT for academic purposes in the future.
“49% of the respondents stated they will continue using ChatGPT for academic purposes in the future.”
- Also stated in: § Discussion · hedged
“Present study results indicate despite the uncertainty about its ethical use, teacher/institute guidelines, and the accuracy of responses, a substantial number of students express their intention to continue using ChatGPT for academic purposes in the future.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Findingown data
Students with a more positive attitude toward ChatGPT were more inclined to employ it for academic purposes.
“Additionally, the research indicated that students with a more positive attitude toward ChatGPT were more inclined to employ it for academic purposes.”
Quote in the paperSubstantial claim - Findingown data
The majority (45.8%) use ChatGPT to assist with certain sections of an assignment but still complete most of the work independently.
“The majority (45.8%) use it to assist with certain sections of an assignment but still complete most of the work independently.”
Quote in the paperNot a substantial claim - Premisecitation
Healthcare students' perceptions regarding ChatGPT's utility for academic purposes received limited attention in research, particularly in Southeast Asia.
“it is noteworthy that the healthcare students' perceptions regarding its utility for academic purposes received limited attention within the realm of research [2,17,18], particularly in the context of Southeast Asia.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J Med Syst. 2023, 47:33. 10.1007/s10916-023-01925-4 source
Not checked in the free run.
- cites [17] Kung TH, Cheatham M, Medenilla A, et al.. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023, 2:e0000198. 10.1371/journal.pdig.0000198 source
Not checked in the free run.
- cites [18] Gilson A, Safranek CW, Huang T, Socrates V, Chi L, Taylor RA, Chartash D. How does ChatGPT perform on the United States Medical Licensing Examination? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023, 9:e45312. 10.2196/45312 source
Not checked in the free run.
- Interpretationown data
Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.
“Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
- Classified as probably not a substantial claim. 42
- May combine two claims. 42
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSeven participants (1.5%) opted for 'Prefer not to say' regarding gender.
“Seven participants opted for “Prefer not to say” regarding the gender (1.5%) (Table 1).”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown data61.2% of participants were aged 21-25 years.
“61.2% of the students were 21-25 years and 70.9% were male.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown data70.9% of participants were male.
“61.2% of the students were 21-25 years and 70.9% were male.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
May combine two claims.
Findingown dataStudents know that ChatGPT is not a human and that it can sometimes make mistakes.
“They also know that ChatGPT is not a human and that it can sometimes make mistakes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe dialogue mentions instances where YouTubers have manipulated ChatGPT to fulfil orders, raising concerns about misuse.
“The dialogue mentions instances where YouTubers have manipulated ChatGPT to fulfil orders, raising concerns about misuse.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataChatGPT is described as providing general responses in the absence of clear instructions, highlighting the need for precise commands.
“ChatGPT is described as providing general responses in the absence of clear instructions, highlighting the need for precise commands.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataYear of study influences knowledge, attitude, and academic use, with Year-2 and Year-4 students showing higher scores in these aspects.
“Year of study also influences knowledge, attitude, and academic use, with Year-2 and Year-4 students showing higher scores in these aspects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRespondents have used ChatGPT for academic tasks including assignment and essay writing, paraphrasing, research proposal writing, searching for study materials, email drafting, and exam preparation.
“These tasks include assignment and essay writing, paraphrasing, research proposal writing, searching for study materials, email drafting, and exam preparation.”
- Also stated in: § Discussion · plain
“The findings of the present study reveal that students have employed ChatGPT for diverse academic tasks, encompassing assignment and essay composition, paraphrasing, research proposal drafting, information retrieval for academic purposes, composing emails, and facilitating exam preparation.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataQuillbot is the most frequently mentioned tool, followed by Bard, Openai, Photomath, and others.
““Quillbot” is the most frequently mentioned tool, followed by “Bard,” “Openai,” “Photomath,” and others.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataStudents know that ChatGPT is a large language model (LLM) that can generate text, translate languages, write different kinds of creative content, and answer questions in an informative way.
“They know that it is a large language model (LLM) that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe listed tools collectively cover the majority of valid responses provided by the respondents.
“The cumulative percentage suggests that the listed tools collectively cover the majority of valid responses provided by the respondents.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe mean attitude score was 37.1 out of maximum score 55, indicating positive attitudes toward ChatGPT.
“The mean attitude score was 37.1 out of maximum score 55 which indicates positive attitudes toward ChatGPT.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMany students are unsure about the reliability of responses, its impact on education, and its ethical implications.
“Many students are unsure about the reliability of responses, its impact on education, and its ethical implications.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataChatGPT's inability to discern truth from lies, both in generating and checking content, is emphasized, impacting its credibility.
“ChatGPT's inability to discern truth from lies, both in generating and checking content, is emphasized, impacting its credibility.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile a significant proportion of university students are aware of ChatGPT's capabilities, a sizable portion lack knowledge about its various functions and limitations.
“The present study data shows that while a significant proportion of university students are aware of ChatGPT's capabilities, there is still a sizable portion of students who lack knowledge about its various functions and limitations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataConcerns are raised about ChatGPT being persuaded to give incorrect answers, highlighting the potential for manipulation.
“Concerns are raised about ChatGPT being persuaded to give incorrect answers, highlighting the potential for manipulation.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMBBS students, Year-5 students, and those with higher knowledge and a more positive attitude are more likely to use ChatGPT for academic purposes.
“MBBS students, Year-5 students, and those with higher knowledge and a more positive attitude are more likely to use ChatGPT for academic purposes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParticipants express concerns about ChatGPT's limitations in providing up-to-date information and its reliance on websites without verification.
“Concerns are expressed about ChatGPT's limitations in providing up-to-date information and its reliance on websites without verification.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTable 5 shows 74.7% of participants used ChatGPT rarely, 7.7% monthly, 13.5% weekly, and 4.1% daily.
“Table 5 shows 74.7% of the participants used ChatGPT rarely while 7.7% used it monthly, 13.5% used it weekly and 4.1% used it daily.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mean knowledge score was 4.1 out of a maximum score of 8, indicating suboptimal knowledge.
“Table 4 shows the mean score of knowledge was 4.1 out of a maximum score of 8 which indicates suboptimal knowledge.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenStudents who have used ChatGPT for academic purposes have a good understanding of how it works.
“Students who have used ChatGPT for academic purposes have a good understanding of how it works.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataParticipants note that ChatGPT lacks a personal touch in responses, indicating the absence of human-like interaction.
“Participants note that ChatGPT lacks a personal touch in responses, indicating the absence of human-like interaction.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMBBS students have a more positive attitude and higher academic use compared to other programs.
“MBBS students have a more positive attitude and higher academic use compared to other programs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSome responses indicate respondents have not used ChatGPT for academic tasks, have never used it, or do not like using it.
“Additionally, some responses indicate respondents have not used ChatGPT for academic tasks, have never used it, or do not like using it.”
- Also stated in: § Discussion · hedged
“In contrast, some respondents indicated that they either had not employed ChatGPT for academic tasks, had never utilized it, or simply did not favor its use.”
Quote in the paperNot a substantial claim- Also stated in: § Discussion · hedged
May combine two claims.
Findingown dataThere are differing views on whether to recommend ChatGPT to friends for academic purposes, with 58.3% in agreement and 34.2% expressing hesitation.
“but there are differing views on whether to recommend ChatGPT to friends for academic purposes, with 58.3% in agreement and 34.2% expressing hesitation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataChatGPT's inability to rationalize its answers is noted, indicating limitations in providing explanations.
“ChatGPT's inability to rationalize its answers is noted, indicating limitations in providing explanations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe findings demonstrated that a significant proportion of the study participants possessed suboptimal knowledge and favorable viewpoints concerning ChatGPT's concept and practical application.
“The findings demonstrated that a significant proportion of the study participants possessed suboptimal knowledge and favorable viewpoints concerning ChatGPT's concept and practical application.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA few respondents use ChatGPT for specific purposes like generating multiple-choice questions, getting an estimate about a topic, understanding a theory's general concept, or seeking ideas and paraphrasing them into their own words.
“A few respondents use it for specific purposes like generating multiple-choice questions, getting an estimate about a topic, understanding a theory's general concept, or seeking ideas and paraphrasing them into their own words.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenStudents who have used ChatGPT for academic purposes have used it in a variety of ways, including answering questions about material, getting feedback on writing, and generating ideas for projects or assignments.
“Students who have used ChatGPT for academic purposes have used it in a variety of ways. Some students have used it to answer questions about the material they are learning. Others have used it to get feedback on their writing. Still, others have used it to generate ideas for projects or assignments.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPresent survey results highlighted various limitations of ChatGPT as perceived by the respondents, including inaccuracies in information, issues with citations, the inability to provide real-time data, and the need for specific instructions for generating accurate responses.
“Present survey results highlighted various limitations of ChatGPT as perceived by the respondents (Table 8). Some of the common limitations mentioned include inaccuracies in information, issues with citations, the inability to provide real-time data, and the need for specific instructions for generating accurate responses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataA few respondents have never used ChatGPT for academic assignments or don't use it at all.
“Lastly, there are a few respondents who have never used ChatGPT for academic assignments or don't use it at all.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile many students have used ChatGPT for non-academic purposes, a considerable portion agrees that it has helped them with academic tasks and reduced time and effort.
“While many students have used ChatGPT for non-academic purposes, a considerable portion agrees that it has helped them with academic tasks and reduced time and effort.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataWhile students acknowledge the convenience and potential benefits of ChatGPT, there is also a considerable level of uncertainty, skepticism, and ethical concerns surrounding its use for academic purposes.
“The data from the present study reveal that while students acknowledge the convenience and potential benefits of ChatGPT, there is also a considerable level of uncertainty, skepticism, and ethical concerns surrounding its use for academic purposes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenFor one-way ANOVA, the assumption of homogeneity was checked, and Welch ANOVA was used when the assumption was not met.
“While employing one-way ANOVA, the assumption of homogeneity was checked, and when the assumption was not met, Welch ANOVA was used.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataSample size calculation using a single population proportion formula with 5% precision, 95% confidence, and 50% estimated proportion determined a minimum sample size of 400, and the final sample size was set at 500.
“Sample size calculation was performed using the formula for a single population proportion, with a precision error of 5%, a confidence level of 95%, and an estimated proportion of 50%. The minimum sample size required was determined to be 400, considering a non-response rate of 20%. The final sample size was set at 500.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationStudents are concerned about the potential for ChatGPT to be used for academic dishonesty and they are aware of the limitations of ChatGPT and the need for careful consideration before it is widely adopted.
“Students are concerned about the potential for ChatGPT to be used for academic dishonesty and they are aware of the limitations of ChatGPT and the need for careful consideration before it is widely adopted.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] Firat M. What ChatGPT means for universities: perceptions of scholars and students [PREPRINT]. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.22 source
Not checked in the free run.
- cites [23] Ajlouni A. Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.. Int J Interact Mobile Technol. 2023, 17:99-117. 10.3991/ijim.v17i18.41753 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenNon-probability convenience sampling was used, and third-party recruitment was employed to select participants.
“Non-probability convenience sampling was used, and third-party recruitment was employed to select participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudents are optimistic about the potential of ChatGPT to be used in universities.
“Previous studies indicate that students are optimistic about the potential of ChatGPT to be used in universities [22,23].”
- Also stated in: § Discussion · plain
“Students are also generally optimistic about the potential of ChatGPT to be used in universities.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] Firat M. What ChatGPT means for universities: perceptions of scholars and students [PREPRINT]. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.22 source
Not checked in the free run.
- cites [23] Ajlouni A. Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.. Int J Interact Mobile Technol. 2023, 17:99-117. 10.3991/ijim.v17i18.41753 source
Not checked in the free run.
- Also stated in: § Discussion · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown dataThese responses highlight the versatility of ChatGPT in assisting with various academic tasks, but they also reflect the diversity of user experiences and preferences, including those who have not utilized it for academic purposes.
“These responses highlight the versatility of ChatGPT in assisting with various academic tasks, but they also reflect the diversity of user experiences and preferences, including those who have not utilized it for academic purposes.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe questionnaire underwent item content validation using median, item ambiguity, percentage agreement, item content validity index, content validity ratio, and content validity coefficient, and was refined based on ICVI and expert comments.
“A questionnaire (English) was prepared following focus group discussions and underwent item content validation. To evaluate the questionnaire's validity, we performed various calculations including determining the median value for each item, assessing item ambiguity (IA), measuring percentage agreement (PA), calculating the item content validity index (ICVI), determining the content validity ratio”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [19] Polit DF, Beck CT. The content validity index: are you sure you know what's being reported? Critique and recommendations. Res Nurs Health. 2006, 29:489-97. 10.1002/nur.20147 source
Not checked in the free run.
- cites [20] Aravamudhan NR, Krishnaveni R. Establishing and reporting content validity evidence of Training and Development Capacity Building Scale (TDCBS). Management. 2015, 20:131-58. 10.30924/mjcmi source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA recent study observed that there is an emerging consensus among students to use the tool, while educators tend to view its use as plagiarism, highlighting the need for policy discussions on integrating AI into educational frameworks.
“A recent study [24] observed that there is an emerging consensus among students to use the tool, while educators tend to view its use as plagiarism, highlighting the need for policy discussions on integrating AI into educational frameworks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Ibrahim H, Liu F, Asim R, et al.. Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Sci Rep. 2023, 13:12187. 10.1038/s41598-023-38964-3 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudents believe that ChatGPT can be used to help them with their studies, such as providing personalized feedback and answering questions.
“They believe that ChatGPT can be used to help them with their studies, such as providing personalized feedback and answering questions.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] Firat M. What ChatGPT means for universities: perceptions of scholars and students [PREPRINT]. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.22 source
Not checked in the free run.
- cites [23] Ajlouni A. Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.. Int J Interact Mobile Technol. 2023, 17:99-117. 10.3991/ijim.v17i18.41753 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThey shed light on the assortment of user encounters and preferences, which encompasses individuals who have abstained from using it for academic purposes.
“Simultaneously, they shed light on the assortment of user encounters and preferences, which encompasses individuals who have abstained from using it for academic purposes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhite et al. also found that it was important to use ChatGPT in conjunction with other resources, such as human tutors and textbooks.
“However, they also found that it was important to use ChatGPT in conjunction with other resources, such as human tutors and textbooks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] White PJ, Larson I, Styles K, et al.. Adopting an active learning approach to teaching in a research-intensive higher education context transformed staff teaching attitudes and behaviours. Higher Educ Res Develop. 2016, 35:619-33. 10.1080/07294360.2015.1107887 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEthical considerations arise from ChatGPT's ability to closely emulate human-authored content, raising concerns about users mistakenly perceiving interactions with the tool as human-like and thereby introducing ethical complexities.
“Ethical considerations arise from ChatGPT's ability to closely emulate human-authored content, raising concerns about users mistakenly perceiving interactions with the tool as human-like and thereby introducing ethical complexities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Ray PP. ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Physical Syst. 2022, 3:121-54. 10.1016/j.iotcps.2023.04.003 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe survey highlights the perception among students that relying on such AI tools for academic tasks may violate academic integrity and ethical standards.
“The survey highlights the perception among students that relying on such AI tools for academic tasks may violate academic integrity and ethical standards.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] More than half of college students believe using ChatGPT to complete assignments is cheating. (2023). Accessed. January 10, 2024: https://www.forbes.com/sites/michaeltnietzel/2023/03/20/more-than-half-of-college-students-believe-using-chatgpt-to-c....
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAmong these users, almost half reported frequent use of the tool, particularly for English (49%) and "hard" sciences like chemistry and biology (41%) assignments.
“Among these users, almost half reported frequent use of the tool, particularly for English (49%) and “hard” sciences like chemistry and biology (41%) assignments.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Survey. 30% of college students used ChatGPT for schoolwork this past academic year. (2023). Accessed: January 10, 2024: https://www.diverseeducation.com/reports-data/article/15448462/survey-30-of-college-students-used-chatgpt-for-schoolw....
Not checked in the free run.
May combine two claims.
Interpretationnone givenThe majority of students are familiar with Chat GPT and are knowledgeable about its various applications, which function as supplements to conventional resources and enhance their efficiency and productivity when completing daily university tasks.
“The majority of students are familiar with Chat GPT and are knowledgeable about its various applications, which function as supplements to conventional resources and enhance their efficiency and productivity when completing daily university tasks.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe primary concern lies in the potential compromise to academic integrity presented by AI essay-writing systems, particularly ChatGPT.
“The primary concern lies in the potential compromise to academic integrity presented by AI essay-writing systems, particularly ChatGPT.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Moorhouse BL, Yeo MA, Wan Y. Generative AI tools and assessment: guidelines of the world's top-ranking universities. Computers Educat Open. 2023, 5:100151. 10.1016/j.caeo.2023.100151 source
Not checked in the free run.
- cites [6] Rasul T, Nair S, Kalendra D, et al.. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.29 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study conducted with 1,223 undergraduate and graduate students showed that approximately 30% of college students used ChatGPT for schoolwork during the past academic year.
“Another study [28] conducted with 1,223 undergraduate and graduate students showed that approximately 30% of college students used ChatGPT for schoolwork during the past academic year.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Survey. 30% of college students used ChatGPT for schoolwork this past academic year. (2023). Accessed: January 10, 2024: https://www.diverseeducation.com/reports-data/article/15448462/survey-30-of-college-students-used-chatgpt-for-schoolw....
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation57% of college students did not intend to continue using AI tools for their schoolwork.
“However, 57% of college students did not intend to continue using AI tools for their schoolwork.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Half of college students say using AI on schoolwork is cheating or plagiarism. (2023). Accessed. January 10, 2024: https://www.bestcolleges.com/research/college-students-ai-tools-survey/.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationWhile AI tools like ChatGPT may offer convenience and efficiency in completing assignments, there is also a significant concern among students about their impact on the traditional learning process and academic integrity.
“This indicates that while AI tools like ChatGPT may offer convenience and efficiency in completing assignments, there is also a significant concern among students about their impact on the traditional learning process and academic integrity [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] More than half of college students believe using ChatGPT to complete assignments is cheating. (2023). Accessed. January 10, 2024: https://www.forbes.com/sites/michaeltnietzel/2023/03/20/more-than-half-of-college-students-believe-using-chatgpt-to-c....
Not checked in the free run.
May combine two claims.
PremisecitationA survey with 1,000 students over the age of 18 found that 89% admitted to using ChatGPT for homework; 48% used it for at-home tests or quizzes; 50% used it for writing essays; and 22% utilized it for paper outlines.
“Results of a survey with 1,000 students over the age of 18 found that 89% admitted to using ChatGPT for homework. Additionally, 48% confessed to using it for at-home tests or quizzes, 50% used it for writing essays, and 22% utilized it for paper outlines [27].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Productive teaching tool or innovative cheating?. (2023). Accessed. January 10, 2024: https://study.com/resources/perceptions-of-chatgpt-in-schools.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWhite et al. reported students who used ChatGPT for an English composition course found that it helped generate ideas and get feedback on their writing.
“White et al. [26] reported students who used ChatGPT for an English composition course found that it helped generate ideas and get feedback on their writing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] White PJ, Larson I, Styles K, et al.. Adopting an active learning approach to teaching in a research-intensive higher education context transformed staff teaching attitudes and behaviours. Higher Educ Res Develop. 2016, 35:619-33. 10.1080/07294360.2015.1107887 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWelding et al. surveyed 1,000 undergraduate and graduate students and found that 43% of college students have used ChatGPT or a similar AI application.
“Welding et al. [29] surveyed 1,000 undergraduate and graduate students and found that 43% of college students have used ChatGPT or a similar AI application.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Half of college students say using AI on schoolwork is cheating or plagiarism. (2023). Accessed. January 10, 2024: https://www.bestcolleges.com/research/college-students-ai-tools-survey/.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe primary concerns stem from the perceived lack of transparency in OpenAI's technology, which has been deemed an "opaque system."
“The primary concerns stem from the perceived lack of transparency in OpenAI's technology, which has been deemed an “opaque system.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare (Basel). 2023, 11:887. 10.3390/healthcare11060887 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmong the users, 50% stated they had used it to help complete assignments or exams.
“Among the users, 50% stated they had used it to help complete assignments or exams.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Half of college students say using AI on schoolwork is cheating or plagiarism. (2023). Accessed. January 10, 2024: https://www.bestcolleges.com/research/college-students-ai-tools-survey/.
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationIt is emphasized that ChatGPT should not be regarded as a substitute for human expertise due to its ongoing development and susceptibility to errors.
“It is emphasized that ChatGPT should not be regarded as a substitute for human expertise due to its ongoing development and susceptibility to errors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Ray PP. ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Physical Syst. 2022, 3:121-54. 10.1016/j.iotcps.2023.04.003 source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Study design and conductreasoningSince the participants are students, there could be apprehensions to admit that they are using the tool due to the risk of accusation.
“Since the participants are students, there could be apprehensions to admit that they are using the tool due to the risk of accusation.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe present study was conducted with a limited sample size and in a single institute.
“The present study was conducted with a limited sample size and in a single institute.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to Nietzel et al. in Forbes on March 20, 2023, more than half of college students believe that using ChatGPT to complete assignments is considered cheating.
“According to the findings reported by Nietzel et al. in Forbes on March 20, 2023, more than half of college students believe that using ChatGPT, an AI-based chatbot, to complete assignments is considered cheating.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] More than half of college students believe using ChatGPT to complete assignments is cheating. (2023). Accessed. January 10, 2024: https://www.forbes.com/sites/michaeltnietzel/2023/03/20/more-than-half-of-college-students-believe-using-chatgpt-to-c....
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationown dataThese outcomes underscore the adaptability of ChatGPT in offering support for a wide array of academic responsibilities.
“These outcomes underscore the adaptability of ChatGPT in offering support for a wide array of academic responsibilities.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationApproximately 51% of college students considered using AI tools on schoolwork as cheating or plagiarism, while 20% disagreed.
“Approximately 51% of college students considered using AI tools on schoolwork as cheating or plagiarism, while 20% disagreed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Half of college students say using AI on schoolwork is cheating or plagiarism. (2023). Accessed. January 10, 2024: https://www.bestcolleges.com/research/college-students-ai-tools-survey/.
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Interpretationown dataUsers identify these limitations across various aspects of the AI's capabilities, underscoring the importance of understanding its boundaries and using it responsibly in academic and other contexts.
“Users identify these limitations across various aspects of the AI's capabilities, underscoring the importance of understanding its boundaries and using it responsibly in academic and other contexts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation12% of ChatGPT users reported an increase in their GPA from the fall of 2022 to the spring of 2023.
“Moreover, 12% of ChatGPT users reported an increase in their GPA from the fall of 2022 to the spring of 2023.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Survey. 30% of college students used ChatGPT for schoolwork this past academic year. (2023). Accessed: January 10, 2024: https://www.diverseeducation.com/reports-data/article/15448462/survey-30-of-college-students-used-chatgpt-for-schoolw....
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent studies have brought to light the potential for students to exploit ChatGPT for academic dishonesty.
“Recent studies have brought to light the potential for students to exploit ChatGPT for academic dishonesty.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [4] Moorhouse BL, Yeo MA, Wan Y. Generative AI tools and assessment: guidelines of the world's top-ranking universities. Computers Educat Open. 2023, 5:100151. 10.1016/j.caeo.2023.100151 source
Not checked in the free run.
- cites [6] Rasul T, Nair S, Kalendra D, et al.. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.29 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions.
“There is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions [4,6].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [4] Moorhouse BL, Yeo MA, Wan Y. Generative AI tools and assessment: guidelines of the world's top-ranking universities. Computers Educat Open. 2023, 5:100151. 10.1016/j.caeo.2023.100151 source
Not checked in the free run.
- cites [6] Rasul T, Nair S, Kalendra D, et al.. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023, 6:10.37074/jalt.2023.6.1.29 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChatGPT's proficiency in generating synthetic information has raised concerns about its potential to compromise academic integrity.
“Additionally, ChatGPT's proficiency in generating synthetic information has raised concerns about its potential to compromise academic integrity [14].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare (Basel). 2023, 11:887. 10.3390/healthcare11060887 source
Not checked in the free run.
The paper relies on this without support.
The self-reported questionnaire responses accurately reflect students' knowledge, attitudes, and practices regarding ChatGPT.
“The final validated questionnaire (Appendix 1, Table 9) consisted of three sections: Knowledge (nine questions), Attitude (11 questions), and Practice (eight questions).”
The paper relies on this without support.
The convenience sample of MUCM students is adequate for informing guidelines for implementing GAI chatbots in healthcare education more broadly.
“This study aids in creating guidelines for implementing GAI chatbots in healthcare education, emphasizing benefits, and risks, and informing AI developers and educators about ChatGPT's potential in academia.”
The paper relies on this without support.
The thematic analysis of open-ended responses captures the main limitations and concerns of the participants.
“The present study conducted a thematic analysis of the responses received from participants regarding the limitations of ChatGPT for academic use.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Younger generations tend to become more quickly familiar with technological innovation than previous generations.
“This result may reflect greater exposure of young people to digital technology and automated learning tools; previous studies have shown a similar association, suggesting that younger generations tend to become more quickly familiar with technological innovation than previous generations [24, 26]”
From Knowledge and use, Perceptions of Benefits and Limitations of Artificial Intelligence Chatbots among Italian Physiotherapy students: a cross-sectional National Study (2025) · cites this paper as [26]
The Conclusions (page unavailable) say that most surveyed undergraduate students were familiar with ChatGPT, supporting familiarity among this young student group. The paper does not compare generations or measure how quickly they become familiar with new technology, so it does not support the comparative claim. (LLM, conf=0.79)
Experimental — accuracy not yet measuredEight studies examined the knowledge, attitudes, and skills of medical students and educators regarding LLMs, specifically ChatGPT; students generally expressed a more positive attitude toward LLMs than practicing physicians; those more knowledgeable about LLMs tended to hold a more positive attitude and were more likely to use them for educational purposes; and concerns were raised regarding the
“Eight studies examined the knowledge, attitudes, and skills of medical students and educators regarding LLMs, specifically ChatGPT [24, 26–29, 79–81]. Students generally expressed a more positive attitude toward LLMs than practicing physicians, showing optimism about their potential to support learners and educators [81]. Those who were more knowledgeable about LLMs tended to hold a more positive”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [80]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Percentage declining to state gender is misstated
MinorSeven of 443 participants is 1.6% to one decimal place, as Table 1 reports, rather than the 1.5% stated in the results text.
Reported 1.5 · recomputed 1.580135
“Seven participants opted for “Prefer not to say” regarding the gender (1.5%)”
Agreement percentage is inconsistent with its count
MinorTable 3 has 443 participants, so 152 agreeing participants represent 34.3%, not the reported 24.3%.
Reported 24.3 · recomputed 34.311512
“| I believe that using ChatGPT has increased the convenience of completing my academic tasks, it has had an adverse effect on my education/learning. | 44 (9.9) | 152 (24.3) | 158 (35.7) | 72 (16.3) | 17 (3.8) |”
Strong-disagreement percentage is nearly ten times its count
MinorFor the cheating question, 21 participants represent approximately 4.7% of the stated 443 participants, not 47.7%.
Reported 47.7 · recomputed 4.740406
“| I feel using ChatGPT for completing written assignments/examinations is malpractice/cheating. | 61 (13.9) | 133 (30.2) | 147 (33.4) | 78 (17.7) | 21 (47.7) |”
FIS-versus-BDS odds ratio is described as MBBS-versus-FIS
MinorThe prose assigns the adjusted OR of 1.95 to MBBS students compared with FIS students. Table 7 instead identifies BDS as the reference and assigns 1.95 to FIS, so that OR compares FIS with BDS.
“MBBS students have a significantly higher likelihood of using ChatGPT for academic purposes compared to BDS students (adjusted OR = 3.13, 95% CI: 1.27 - 7.70, p = 0.013) and FIS students (adjusted OR = 1.95, 95% CI: 1.12 - 3.40, p = 0.018).”
“| BDS | Reference | | | | | MBBS | 1.41 | 0.46 | 3.13 (1.27 – 7.70) | 0.013 | | FIS | 0.69 | 0.28 | 1.95 (1.12 – 3.40) | 0.018 |”
Cites
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552 · see citing works
Polit, D. F., & Beck, C. T. (2006) · Research in Nursing & Health · doi:10.1002/nur.20147 · Cited by 7,510 · cited 1× · see citing works
“…calculations including determining the median value for each item, assessing item ambiguity (IA), measuring percentage agreement (PA), calculating the item content validity index (ICVI), determining the content validity ratio (CVR), and calculating the content validity coefficient (VIk) [19,20].”
MethodChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326 · cited 1× · see citing works
“Recent studies have explored ChatGPT's potential in clinical practice, scientific enhancement, and public health analysis [9].”
BackgroundKung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115 · cited 1× · see citing works
“…the accuracy of ChatGPT among the medical and dental educational fraternity, it is noteworthy that the healthcare students' perceptions regarding its utility for academic purposes received limited attention within the realm of research [2,17,18], particularly in the context of Southeast Asia.”
BackgroundSallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126 · cited 1× · see citing works
“Additionally, ChatGPT's proficiency in generating synthetic information has raised concerns about its potential to compromise academic integrity [14].”
BackgroundRay, P. P. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.04.003 · Cited by 2,463 · cited 2× · see citing works
“Educators are advised to stay abreast of the latest developments in ChatGPT and ensure the implementation of human oversight to facilitate responsible usage in educational contexts [15].”
BackgroundGilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078 · cited 1× · see citing works
“…the accuracy of ChatGPT among the medical and dental educational fraternity, it is noteworthy that the healthcare students' perceptions regarding its utility for academic purposes received limited attention within the realm of research [2,17,18], particularly in the context of Southeast Asia.”
BackgroundWhat if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00237-x · Cited by 2,003 · cited 1× · see citing works
“Questions about the technology's reliability were raised, accompanied by concerns about unforeseen consequences [10-11].”
BackgroundCascella, M., Montomoli, J., Bellini, V., & Bignami, E. (2023) · Journal of Medical Systems · doi:10.1007/s10916-023-01925-4 · Cited by 1,120 · see citing works
Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions
Abd-alrazaq, A., AlSaad, R., Alhuwail, D., Ahmed, A., Healy, P. M., Latifi, S., Aziz, S., Damseh, R., Alabed Alrazak, S., & Sheikh, J. (2023) · JMIR Medical Education · doi:10.2196/48291 · Cited by 722 · cited 1× · see citing works
“However, the integration of AI into education also presents certain challenges, including concerns about privacy, accuracy, bias, reliability, and limitations in replicating human creativity [6-8].”
BackgroundThe role of ChatGPT in higher education: Benefits, challenges, and future research directions
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.29 · Cited by 561 · cited 2× · see citing works
“There is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions [4,6].”
BackgroundGenerative AI tools and assessment: Guidelines of the world's top-ranking universities
Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100151 · Cited by 461 · cited 2× · see citing works
“There is an apprehension that students might submit essays that do not authentically represent their work, thus contravening ethical standards within educational institutions [4,6].”
BackgroundMethodWhat ChatGPT means for universities: Perceptions of scholars and students
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.22 · Cited by 431 · cited 1× · see citing works
“Previous studies indicate that students are optimistic about the potential of ChatGPT to be used in universities [22,23].”
BackgroundGenerative Artificial Intelligence: Implications and Considerations for Higher Education Practice
Farrelly, T., & Baker, N. (2023) · Education Sciences · doi:10.3390/educsci13111109 · Cited by 414 · see citing works
Best humans still outperform artificial intelligence in a creative divergent thinking task
Koivisto, M., & Grassini, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-40858-3 · Cited by 247 · cited 1× · see citing works
“Recent research [12-15] highlighted the potential of AI as a tool to enhance creativity but also underscored the unique and complex nature of human creativity that may be difficult to replicate AI technology fully.”
BackgroundAssessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study
Sallam, M., Salim, N. A., Barakat, M., Al-Mahzoum, K., Al-Tammemi, A. B., Malaeb, D., Hallit, R., & Hallit, S. (2023) · JMIR Medical Education · doi:10.2196/48254 · Cited by 234 · cited 1× · see citing works
“These observations are in agreement with the findings of Malik et al. [25] and underscore the importance of considering risk perceptions, usefulness, ease of use, attitudes toward technology, and behavioral factors in the successful implementation of ChatGPT in health care education.”
ResultWhy and how to embrace AI such as ChatGPT in your academic life
Lin, Z. (2023) · doi:10.31234/osf.io/sdx3j · Cited by 202 · see citing works
Why and how to embrace AI such as ChatGPT in your academic life
Lin, Z. (2023) · Royal Society Open Science · doi:10.1098/rsos.230658 · Cited by 202 · see citing works
Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., AlShebli, B., Baghdadi, R., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-38964-3 · Cited by 154 · see citing works
Skavronskaya, L., Hadinejad, A., & Cotterell, D. (2023) · Journal of Teaching in Travel & Tourism · doi:10.1080/15313220.2023.2196658 · Cited by 148 · cited 1× · see citing works
“Questions about the technology's reliability were raised, accompanied by concerns about unforeseen consequences [10-11].”
BackgroundStudents’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.
O. Ajlouni, A., Abd-Alkareem Wahba, F., & Salem Almahaireh, A. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i18.41753 · Cited by 116 · see citing works
White, P. J., Larson, I., Styles, K., Yuriev, E., Evans, D. R., Rangachari, P. K., Short, J. L., Exintaris, B., Malone, D. T., Davie, B., et al. (2016) · Higher Education Research & Development · doi:10.1080/07294360.2015.1107887 · Cited by 102 · cited 1× · see citing works
“White et al. [26] reported students who used ChatGPT for an English composition course found that it helped generate ideas and get feedback on their writing.”
MethodHarnessing the power of ChatGPT in medical education
Guo, A. A., & Li, J. (2023) · Medical Teacher · doi:10.1080/0142159x.2023.2198094 · Cited by 27 · see citing works
Aravamudhan, N. R. (2015) · doi:10.30924/mjcmi · Cited by 5 · see citing works
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Higher education students’ perceptions of ChatGPT: A global study of early reactions
Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., Brezovar, N., A. Iahad, N., Abdulla, A. A., Akopyan, A., Aldana Segura, M. W., AlHumaid, J., et al. (2025) · PLOS ONE · doi:10.1371/journal.pone.0315011 · Cited by 376 · see citing works
Nursing Students’ Perceptions and Use of Generative Artificial Intelligence in Nursing Education
Han, S., Kang, H. S., Gimber, P., & Lim, S. (2025) · Nursing Reports · doi:10.3390/nursrep15020068 · Cited by 86 · see citing works
Exploring the Usage of ChatGPT Among Medical Students in the United States
Zhang, J. S., Yoon, C., Williams, D. K. A., & Pinkas, A. (2024) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205241264695 · Cited by 75 · see citing works
“16,17 Furthermore, the data among healthcare students in Malaysia report less than 20% of students reported using ChatGPT weekly to daily.”
BackgroundWang, P., Jing, Y., & Shen, S. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.100996 · Cited by 84 · see citing works
Li, J., Yin, K., Wang, Y., Jiang, X., & Chen, D. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07750-2 · Cited by 62 · see citing works
Mapping Tomorrow’s Teaching and Learning Spaces: A Systematic Review on GenAI in Higher Education
Tillmanns, T., Filho, A. S., Rudra, S., Weber, P., Dawitz, J., Wiersma, E., Dudenaite, D., & REYNOLDS, S. L. (2025) · Trends in Higher Education · doi:10.3390/higheredu4010002 · Cited by 78 · see citing works
“Providing assistance based on the needs of educators and learners [53,79,82].”
Artificial intelligence in undergraduate medical education: an updated scoping review
Simoni, J., Urtubia-Fernandez, J., Mengual, E., Simoni, D. A., Royo, M., Egaña-Yin, D., Hertog, O. L. A., López-Ortiz, L., Muñoz-Tomás, A., Santiago-Martínez, P., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08188-2 · Cited by 62 · see citing works
Status and perceptions of ChatGPT utilization among medical students: a survey-based study
Hu, N., Jiang, X. L., Wang, Y. D., Kang, Y. M., Xia, Z., Chen, H. H., Duan, S. N., & Chen, D. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07438-7 · Cited by 43 · see citing works
“Upon its release, ChatGPT garnered significant attention across society and has been extensively adopted across diverse sectors, such as software development, journal-ism, literary creation, and other domains, demonstrating its versatility [2, 3].”
Social influence and information quality on Generative AI use among business students
Changalima, I. A., Amani, D., & Ismail, I. J. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101063 · Cited by 40 · see citing works
Clinical, Research, and Educational Applications of ChatGPT in Dentistry: A Narrative Review
Puleio, F., Giudice, G. L., Bellocchio, A. M., Boschetti, C. E., & Giudice, R. L. (2024) · Applied Sciences · doi:10.3390/app142310802 · Cited by 39 · see citing works
Human versus machine: The effectiveness of ChatGPT in automated essay scoring
Manning, J., Baldwin, J., & Powell, N. (2025) · Innovations in Education and Teaching International · doi:10.1080/14703297.2025.2469089 · Cited by 36 · see citing works
“…used NLP chatbot service, ChatGPT (Generative Pre-trained Transformer), has over 100 million weekly users as of November 2023 (Altman, 2023), with researchers reporting 50% (Pallivathukal et al., 2024) to over 70% (Castillo et al., 2023) of higher education (HE) students actively using ChatGPT.”
Alharbi, M. K., Syed, W., Innab, A., Basil A. Al-Rawi, M., Alsadoun, A., & Bashatah, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-73359-y · Cited by 36 · see citing works
Klímová, B., & Campos, V. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2373512 · Cited by 41 · see citing works
“Research (Pallivathukal et al., 2024) also shows that higher knowledge and positive attitudes towards the use of ChatGPT is with increased academic usage.”
Tortella, F., Palese, A., Turolla, A., Castellini, G., Pillastrini, P., Landuzzi, M. G., Cook, C., Galeoto, G., Giovannico, G., Rodeghiero, L., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07176-w · Cited by 28 · see citing works
“Several surveys have also highlighted barriers such as over-reliance on technology [22, 26, 28, 32], concerns about the accuracy and reliability of answers [21, 22, 24, 26, 32, 34, 43], and issues related to plagiarism and lack of transparency [23, 26, 35, 37, 42].”
InfluentialElbaz, A. M., Salem, I. E., Darwish, A., Alkathiri, N. A., Mathew, V., & Al-Kaaf, H. A. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100324 · Cited by 36 · see citing works
Mondal, H., Karri, J. K. K., Ramasubramanian, S., Mondal, S., Juhi, A., & Gupta, P. (2025) · Advances in Physiology Education · doi:10.1152/advan.00088.2024 · Cited by 28 · see citing works
Ethical Use of Generative Artificial Intelligence Among Ecuadorian University Students
Buele, J., García, Á. R. S., Sabando-García, B. J., & Yánez-Rueda, H. (2025) · Sustainability · doi:10.3390/su17104435 · Cited by 21 · see citing works
Integrating ChatGPT in the Calculus Classroom: Student Perceptions
Serhan, D., & Welcome, N. B. (2024) · International Journal of Technology in Education and Science · doi:10.46328/ijtes.559 · Cited by 25 · see citing works
“George Pallivathukal et al. (2024) investigated students' knowledge, attitudes, and practices in the context of their use of ChatGPT at a Malaysian healthcare university.”
BackgroundPap, I. A., & Oniga, S. (2024) · Sensors · doi:10.3390/s24186140 · Cited by 20 · see citing works
“…of students do not possess enough information about Chat-GPT and have a positive opinion about it; hence, they have the disposition of using it for academic purposes, emphasizing the need to better understand the risks involved in using large language models by both students and educators [19].”
BackgroundChatGPT’s impact on student learning outcomes: a meta-analysis of 35 experimental studies
Wu, X., Zhu, P., Zhang, J., Yin, M., & Wang, Y. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07019-z · Cited by 37 · see citing works
“Pallivathukal et al. (2024) found that 36.6% of students used ChatGPT for academic purposes; 65.9% believed it signi fi cantly reduced the time and effort needed to complete tasks; 47.6% veri fi ed the accuracy of the information provided by ChatGPT; and 49% said that they would continue using…”
InfluentialFußhöller, A., Lechner, F., Schlicker, N., Muehlensiepen, F., Mayr, A. J., Kühn, S., Hirsch, M. C., & Knitza, J. (2025) · JMIR Formative Research · doi:10.2196/81484 · Cited by 18 · see citing works
Shi, X., Jiang, Z., Xiong, L., Siu, K.-C., & Chen, Z. (2026) · JMIR Human Factors · doi:10.2196/81652 · Cited by 13 · see citing works
“Regardless of educational stage or discipline, medical students are actively leveraging diverse AI tools, flexibly selecting platforms according to specific learning scenarios and practical needs [29].”
Syed, W., Bashatah, A. S., Alharbi, K., Bakarman, S. S., Asiri, S., & Alqahtani, N. (2024) · Medical Science Monitor · doi:10.12659/msm.944993 · Cited by 20 · see citing works
“Similarly, a recent study by George et al found that 43.4% of the respondents showed positive attitudes and believe that responses from ChatGPT are reliable and accurate, and that ChatGPT could be used to support academic activities without violating ethical concerns [22].”
BackgroundResultInfluentialMashagbeh, M. A., Alsharqawi, M., Tudevdagva, U., & Khasawneh, H. J. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1550147 · Cited by 25 · see citing works
Jiang, H., Wang, Z., Meng, M., Li, B., Chen, S., Yang, D., Li, X., & Hao, Y. (2026) · BMC Nursing · doi:10.1186/s12912-025-04187-2 · Cited by 12 · see citing works
Abuabara, A., do Nascimento, T. V. P. M., Trentini, S. M., Gonçalves, A. M. C., Oliveira, M. A. H. D. M., Madalena, I. R., Beisel-Memmert, S., Kirschneck, C., Antunes, L. A. A., de Araújo, C. M., et al. (2025) · Frontiers in Dental Medicine · doi:10.3389/fdmed.2025.1634006 · Cited by 11 · see citing works
The use of ChatGPT in academia: perspectives of higher education students
Klímová, B., Bachmann, P., & Frutos-Bencze, D. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2508216 · Cited by 23 · see citing works
“These findings have been also confirmed by George Pallivathukal et al. (2024) in their study conducted with undergraduate healthcare students in Malaysia, in which only 23.7% of students agreed that their teachers or institutions had specified how to use AI tools like ChatGPT ethically or…”
InfluentialEmpowering business research with ChatGPT: academic and student insights through the UTAUT lens
Al‐Hattami, H. M. (2025) · Discover Computing · doi:10.1007/s10791-025-09692-1 · Cited by 14 · see citing works
“Studies suggest that while many users find ChatGPT helpful, issues such as over-reliance, misinformation, and lack of transparency persist [35, 40].”
InfluentialAhmed, W. M. M., Abdalmotalib, M. M., Elbadawi, M. H., Mohammed, G. T. F., Mohamed, W. M. I., Mohammed, F. Z., Salih, H. S., & Mohamed, H. O. Y. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324698 · Cited by 14 · see citing works
“Interestingly, a Malaysian study by Pallivathukal et al. (2024) found the opposite trend, where females demonstrated greater knowledge and usage of AI tools compared to males [30].”
Habiba, U., & Partho, P. P. B. (2024) · Research Square · doi:10.21203/rs.3.rs-4329543/v1 · Cited by 8 · see citing works
Mudenda, S., Mufwambi, W., Mwale, R. S., Kathewera, B. S., & Lubanga, A. F. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07833-0 · Cited by 13 · see citing works
“…has been reported in other studies indicating the need to educate students on the usefulness and risks of using AI for academic purposes [46, 51–53] The findings of the present study also revealed that 79% of the participants had positive attitudes toward ChatGPT’s impact on their…”
Use of ChatGPT: Perspectives of Graduate Students in Public Health Nursing
Sağlam, R., & Kalanlar, B. (2025) · Nurse Education in Practice · doi:10.1016/j.nepr.2025.104585 · Cited by 7 · see citing works
Mudenda, S. (2025) · Creative Education · doi:10.4236/ce.2025.1611112 · Cited by 8 · see citing works
Pulari, S. R., & Jacob, S. G. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.02.122 · Cited by 8 · see citing works
Correlates of Medical and Allied Health Students’ Engagement with Generative AI in Nigeria
Iliyasu, Z., Abdullahi, H. O., Iliyasu, B. Z., Bashir, H. A., Amole, T. G., Abdullahi, H. M., Abdullahi, A. U., Kwaku, A. A., Dahir, T., Tsiga-Ahmed, F. I., et al. (2024) · Medical Science Educator · doi:10.1007/s40670-024-02181-y · Cited by 10 · see citing works
Zhang, C., Zhu, S., Yang, X., Tseng, Y.-C., Jiang, S., & Rzeszotarski, J. M. (2025) · Proceedings of the 7th ACM Conference on Conversational User Interfaces · doi:10.1145/3719160.3736618 · Cited by 4 · see citing works
Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study
Alazzawi, M., & Lam, K. K.-L. (2026) · JMIR Formative Research · doi:10.2196/82828 · Cited by 7 · see citing works
Aiyebelehin, A. J., Abdulkareem, B., Aba, J. I., & Idemudia, B. E. (2025) · Alexandria The Journal of National and International Library and Information Issues · doi:10.1177/09557490251378739 · Cited by 6 · see citing works
Chinene, B., Mudadi, L.-S., Choto, T. A., Soko, N. D., Gonde, L., Mushosho, E. Y., & Mutandiro, L. C. (2024) · Radiography · doi:10.1016/j.radi.2024.11.004 · Cited by 3 · see citing works
Using aggregated AI detector outcomes to eliminate false-positives in STEM-student writing.
Hyatt, J.-P. K., Bienenstock, E. J., Firetto, C. M., Woods, E. R., & Comus, R. C. (2025) · Advances in Physiology Education · doi:10.1152/advan.00235.2024 · Cited by 4 · see citing works
Tuppal, C. P., Ninobla, M. M. G., Loresco, R. D., Cabradilla, M. R., Tuppal, S. M. P., Pellacœur, L. K. A., Roa, M. N. T., Chan, J. M. A. R., Panes, I. I., & Ferreras, A. L. (2025) · IJERI International Journal of Educational Research and Innovation · doi:10.46661/ijeri.10568 · Cited by 3 · see citing works
Behavioural preference for Google and ChatGPT in an online search task
Healy, K., & Radell, M. L. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2560549 · Cited by 1 · see citing works
Perceptions of AI-based tools among polish medical university students
Ratajczak, P., Słowik, O., Cynar, J., Kopciuch, D., Paczkowska, A., Zaprutko, T., & Kus, K. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08326-w · Cited by 1 · see citing works
“Additionally, consistent engagement with AI increases perceived benefits, as other authors show [12, 25].”
ChatGPT Satisfaction in Higher Education: Survey in a Private University in Malaysia
Zakaria, S. K., Sani, R. M., Rahman, N. I. A., Daud, M. N., & Saro, N. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-10016-0_51 · Cited by 1 · see citing works
Ahimaz, P. R., Bergner, A. L., Florido, M. E., Harkavy, N., & Bhattacharyya, S. (2026) · Journal of Genetic Counseling · doi:10.1002/jgc4.70185 · Cited by 1 · see citing works
Laypersons’ perceptions and misconceptions of AI-chatbots: a systematic review
Schneller, M., Seier, J., & Albert, D. (2026) · Universal Access in the Information Society · doi:10.1007/s10209-026-01323-w · Cited by 1 · see citing works
“Seven publications specifically investigated awareness, knowledge and understanding of AI-chatbots [46, 48, 49, 53, 54, 65, 70].”
InfluentialAljoudeh, J., Balkhi, A. A., Ranjous, Y., Shbani, A., Takieddin, D., & Izzat, M. B. (2026) · JMIR Medical Education · doi:10.2196/84942 · Cited by 2 · see citing works
“%) compares with the 24.8% in a Ugandan sample and 36.6% in a Malaysian study [30,31].”
InfluentialTan, J. W. D., Oh, H. X., Krishnan, V., Neo, A. W. M., Mohamed, I. N., Mohamed, R. M. P., Chowdhury, M. E. H., & Kumar, J. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1750324 · Cited by 1 · see citing works
Taught by a Robot: A Trainee Perspective on Artificial Intelligence in Medical School Education
Nguyen, L. T., Tran, V. T., Tran, J. T., & Oorjitham, N. S. (2024) · Academic Psychiatry · doi:10.1007/s40596-024-02081-8 · Cited by 1 · see citing works
“There is a wide range of utilization of AI, from minimal to active use among learners, according to one study of Malaysian university students [24].”
Mudenda, S., Mufwambi, W., Mwale, R. S., Kathewera, B. S., & Lubanga, A. F. (2024) · Research Square · doi:10.21203/rs.3.rs-5648361/v1
ChatGPT Technology from Users’ Perspective: A Survey Study of Saudi Scholarship Students
alsaleh, Y. (2025) · مجلة کلية الآداب جامعة بنها · doi:10.21608/jfab.2025.371539.1261
Gai, S., Huang, F., Liu, X., Benton, R., Borchert, G. M., Huang, J., & Leng, X. (2025) · PLoS ONE · doi:10.1371/journal.pone.0305442
Fußhöller, A., Lechner, F., Schlicker, N., Muehlensiepen, F., Mayr, A. J., Kühn, S., Hirsch, M. C., & Knitza, J. (2025) · doi:10.2196/preprints.81484
Shi, X., Jiang, Z., Li, X., Siu, K., & Chen, Z. (2025) · doi:10.2196/preprints.81652
Zakaria, S. K., Sani, R. M., & Daud, M. N. (2026) · Studies in big data · doi:10.1007/978-3-032-14698-4_27
Artificial Intelligence in Education: ChatGPT’s Influence on Undergraduate Learning and Self-Belief
Zakaria, S. K., Saro, N., Sani, R. M., Mahendran, Muhiddin, N. ‘., & Daud, M. N. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-23645-6_7
Multimodal Сhatbots in the Digital Educational Environment: Analytical review
Stepanyan, I. K., & Khripunova, M. B. (2026) · Digital Solutions and Artificial Intelligence Technologies · doi:10.26794/3030-7097-2026-2-2-46-56
Goswami, K. R., & Padmanabh, D. S. K. D. (2026) · Indian Journal of Medical Sciences · doi:10.25259/ijms_187_2025
Akter, M., Spriha, A. B., Islam, S., Jahan, N., Rahman, N. Z., Arman, S. E., & Jamal, L. (2026) · International Conference on Information and Education Technology (ICIET) · doi:10.1109/iciet69664.2026.11561611
“Most research focuses on ChatGPT or treats AI as a single category, offering limited comparison across multiple tools and between free and paid versions [1], [10], [14].”
Pazil, N. S. M., & Muhamad, S. N. N. (2026) · International Journal of Entrepreneurship and Management Practices · doi:10.35631/ijemp.934006
Baigi, S. F. M., Sarbaz, M., Ghaddaripouri, K., & Kimiafar, K. (2026) · Health Science Reports · doi:10.1002/hsr2.72899
Withanage, W. D. M. D., Nissanka, N. M. T. A., Wickramasinghe, C. P., Fernando, W. P. P. D., Perera, V., & Gunatilake, G. D. (2026) · Access Microbiology · doi:10.1099/acmi.0.001137.v5
Kajembula, I. M., Matheo, K. I., Simchimba, P. D., Massawe, D. D., Usiri, A. I., & Ambikile, J. S. (2026) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205261479986
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AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study
Taka, I., Hasalla, E., Sula, A., Bahiti, B., Oboni, R. H., & Bani, B. (2026) · JMIR Nursing · doi:10.2196/97832 · Cited by 1 · see citing works
TRENDS IN STUDENT PERCEPTIONS OF CHATGPT: EVIDENCE FROM A THREE-YEAR GLOBAL STUDY
Ravšelj, D., & Aristovnik, A. (2026) · Journal of ExoTechnology and Education · doi:10.36615/vmkee612
“A familiarity with ChatGPT and favorable attitudes toward its use have also been linked to higher levels of engagement, especially among students nearing the end of their study programs, who frequently use such tools for research and exam preparation (Pallivathukal et al., 2024).”
Osijirin, A. N., Khama, V. A., Umakalu, C., Okpe, S., Udo, N., Ezugwu, I., Etim, G., & Obasi, O. (2026) · American Journal of Education and Information Technology · doi:10.11648/j.ajeit.20261002.11
- Authors
- George Pallivathukal, R., Kyaw Soe, H. H., Donald, P. M., Samson, R. S., & Hj Ismail, A. R.
- Affiliations
- Manipal University College Malaysia (MY)
- ORCID
- Donald, Preethy Mary
- Venue
- Cureus
- Published
- 2024-01-27
- Volume
- 16
- Issue
- 1
- Pages
- e53032-e53032
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10895383
- OpenAlex
- W4391281957
- Semantic Scholar
- 6f1b8424cce4d756d487b1629971030cd4c21dc5
- Cited by
- 68
- References
- 22
- Citations by year
- 2026: 21 · 2025: 32 · 2024: 15
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- ChatGPT, generative AI, health professions students, medical education, student attitudes toward AI, plagiarism concerns, AI dependency, AI ethics, undergraduate medical students, dental students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
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