The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index; none of the 19 sources its claims cite is checked for support yet.
Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.
Open accessAbstract
This research aims to examine students’ attitudes toward using ChatGPT as a learning tool using a quantitative approach with a descriptive study design. For data collection, researchers have developed attitude measures that utilize the ABC model, which encompasses three components of attitudes (affective, cognitive, and behavioral). The study was conducted among a random sample of 623 undergraduates who enrolled at the University of Jordan, consisting of 476 females and 147 males. The results of the descriptive statistics indicate that there is a high level of positive attitude toward utilizing ChatGPT as a learning tool. Furthermore, the findings confirm moderate affective and high behavioral and cognitive components of attitudes toward using ChatGPT as a learning tool among undergraduate students. A proportion of respondents (73.2%) agreed on the potential ability of ChatGPT to facilitate the learning process. In comparison, 20.7% of the study participants raised apprehensions regarding the precision of the data produced by ChatGPT, while an equivalent percentage (20.7%) reported feeling uncomfortable utilizing the platform; conversely, 14.6% of those surveyed acknowledged experiencing anxiety when unable to access ChatGPT’s services. The results of this study encourage decision-makers and educators at the University of Jordan to incorporate ChatGPT into curricula and instructional practices, considering student concerns and the risk of misuse.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This descriptive quantitative study surveyed 623 undergraduates at the University of Jordan in May 2023 to assess attitudes toward ChatGPT as a learning tool using an ABC-model attitude scale. Students showed a high overall positive attitude (mean 3.74), with high cognitive and behavioral components but only moderate affective attitudes.
Key findings
- Overall ATUC mean was 3.74 (SD 1.03), indicating a highly positive attitude toward using ChatGPT as a learning tool.
- Subscale means were affective 3.65 (moderate), cognitive 3.77 (high), and behavioral 3.81 (high).
- 73.2% agreed that ChatGPT can facilitate the learning process; 20.7% were concerned about the accuracy of ChatGPT-generated data; 20.7% reported feeling uncomfortable using the platform; 14.6% reported anxiety when unable to access ChatGPT services.
- The sample included 476 females and 147 males; 51% were humanities majors and 49% scientific majors; 50.1% reported beginner technological skills, 34.3% intermediate, and 10.8% advanced.
Methods
- Quantitative descriptive design using an online self-administered questionnaire distributed in May 2023 during the second semester of 2022–2023 at the University of Jordan.
- Random sample of 623 undergraduates from a population of 40,188; 690 students were sent the questionnaire link via Microsoft Teams, email, and Moodle, yielding a 90% response rate.
- Instrument: 27 items, including 5 demographic items and the 22-item ATUC scale based on the ABC model, with affective (7 items), cognitive (8 items), and behavioral (7 items) subscales on a 5-point Likert scale. Validity was assessed by 10 experts and a pilot study of 80 students; Cronbach’s alphas were 0.86 affective, 0.92 cognitive, 0.92 behavioral, and 0.96 total. Analysis used descriptive statistics in SPSS version 23.
Limitations
- Stated by the paper: the study included only undergraduate students at one public university in Jordan’s capital metropolitan area, with a sample of 623; the authors call for similar studies across diverse cohorts and for exploring additional concerns such as addiction.
- Evident from the text: the design is cross-sectional and self-report, so it cannot establish causality or track attitude change over time; the paper itself notes that attitudes toward information technology can change over time.
- Evident from the text: although described as random sampling, recruitment was voluntary via online platforms, which may introduce self-selection bias.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
22 Own result · 18 Not checked yet · 11 Own method · 8 Own interpretation · 3 No basis given
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“14.6% of those surveyed acknowledged experiencing anxiety when unable to access ChatGPT's services.”
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
“14.6% of participants agree or strongly agree with experiencing nervousness in the absence of ChatGPT service.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the behavioral component of attitude among undergraduates is 3.81, which is considered high.”
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
“undergraduate students exhibited a high level of behavioral component (m = 3.81)”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most students agreed that the skills for employing ChatGPT in learning are necessary, make the learning process easier and the learning experience better, satisfy their learning needs, support their lifelong learning, promote their evaluation and higher-order skills, and foster creativity.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, the majority of participants agree that they would utilize ChatGPT to attain their learning goals, employing it as a pedagogical tool for exercising, practicing, exam readiness, summarizing and analyzing educational content, keeping abreast of its advancements, and apprising their friends and colleagues of ChatGPT's advantageous academic proficiencies.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Except for item 23 (regarding the use of ChatGPT as a tutor), approximately 15% of respondents expressed disagreement with the notion of using ChatGPT as a tutor.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“while an equivalent percentage (20.7%)reported feeling uncomfortable utilizing the platform”
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
“20.7% of the participants disagreed that they feel at ease employing ChatGPT in their educational endeavors.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A proportion of respondents (73.2%) agreed on the potential ability of ChatGPT to facilitate the learning process.”
- Also stated in: § 4 RESULTS AND DISCUSSION · boosted
“the study revealed a high level of agreement among participants concerning the potential of ChatGPT in facilitating the learning process, as evidenced by 73.2% of students agreeing.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Abstract
boosted- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § 4 RESULTS AND DISCUSSION · boosted
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the results of items 10, 11, and 12 indicate that a mere 15% of undergraduate participants agree or strongly agree with the statement that they experience annoyance while using ChatGPT due to the lack of human interaction.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The results indicate that the mean score for the affective attitude component is 3.65, indicating a moderate level.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The results indicate a moderate level of agreement among respondents, with over 60% expressing that ChatGPT has the potential to improve their academic self-confidence and writing skills.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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- It may state two separate claims as one. 23
- Probably not a substantial claim. 17
- The quote only partly states this claim. 2
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most students agreed that the skills for employing ChatGPT in learning are necessary, make the learning process easier and the learning experience better, satisfy their learning needs, support their lifelong learning, promote their evaluation and higher-order skills, and foster creativity.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most students agreed that the skills for employing ChatGPT in learning are necessary, make the learning process easier and the learning experience better, satisfy their learning needs, support their lifelong learning, promote their evaluation and higher-order skills, and foster creativity.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most students agreed that the skills for employing ChatGPT in learning are necessary, make the learning process easier and the learning experience better, satisfy their learning needs, support their lifelong learning, promote their evaluation and higher-order skills, and foster creativity.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Table 5 displays that the average score of attitudes toward ChatGPT as a learning tool among undergraduates at the University of Jordan is 3.74.This score suggests that the students held positive attitudes towards utilizing ChatGPT as a learning tool.”
- Also stated in: § Abstract · plain
“The results of the descriptive statistics indicate that there is a high level of positive attitude toward utilizing ChatGPT as a learning tool.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Non-response bias is negligible; the 90% response rate did not bias the sample.
- Also stated in: § Abstract · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, the cognitive component has a mean score of 3.77”
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
“undergraduate students exhibited a high level of cognitive component (m = 3.77)”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
- Also stated in: § 4 RESULTS AND DISCUSSION · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Specifically, the results suggest that the affective component of attitudes was moderately positive, while the cognitive and behavioral components were highly positive.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 5 CONCLUSIONS
hedged- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Thus, the sample size utilized in this study was appropriate and sufficient for achieving the research objectives.”
- Also stated in: § 3.1 Design, participants, and procedures · plain
“The appropriate minimum sample size was determined by applying Thompson's [68] equation with a confidence level of 95% and a margin of error of 5%.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
What the sources say
- Not checked yetcites [68]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: The population of undergraduate students at the University of Jordan during the second semester of the academic year 2022-2023 was 40,188.
- Also stated in: § 3.1 Design, participants, and procedures · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The study was conducted among a random sample of 623 undergraduates who enrolled at the University of Jordan, consisting of 476 females and 147 males.”
- Also stated in: § 3.1 Design, participants, and procedures · plain
“The research sample comprised 623 undergraduate students (476 females and 147 males).”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § 3.1 Design, participants, and procedures · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“researchers extracted the inter-sub-scale correlations of ATUC; they were significantly correlated for all pairs of ATUC's subscales, and all the inter-scale correlations were in an acceptable range, as shown in Table 3.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.2 Study instrument
plaincorrelationaln = 80 ·- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The participants included in the study were randomly selected, and all of them expressed their willingness to participate in the research.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“These above values indicate that ATUC is a valid and reliable measure that can be used to collect data for the study phenomenon.”
- Also stated in: § 3.2 Study instrument · hedged
“These values indicate that ATUC is a valid and reliable measure.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.2 Study instrument
hedgedn = 80- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Also stated in: § 3.2 Study instrument · hedged
In the paper
“The researcher adopted a random sampling technique to ensure the unbiased selection of the sample [67].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
What the sources say
- Not checked yetcites [67]
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“623 questionnaires were returned, with a response rate of 90%.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This suggests a dependence on ChatGPT technology, potentially leading to addictive behavior.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
hedgedconditional- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“ChatGPT has the ability to produce high-quality paragraphs and diverse research papers and effectively respond to examination inquiries; it is noteworthy that this particular aspect also contributes to the debugging process through its ability to predict, explain, correct errors, and represent knowledge [9][10][11][12].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > INTRODUCTION
What the sources say
- Not checked yetcites [9][10][11][12]
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“analysis found that the Pearson correlation coefficients for each item of the ATUC scale and the overall ATUC score fell within the range of 0.48 to 0.83 and were all deemed statistically significant at p < 0.05.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.2 Study instrument
plaincorrelationaln = 80 ·- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“| Affective | 0.86 |”
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
“| Cognitive | 0.92 |”
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
“| Behavioral | 0.92 |”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education.
plain- Asserted: passes — The authors put it forward as true.
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The quote only partly states this claim.
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
None of the sources cited for this claim have been checked yet.
In the paper
“In addition, it has been reported that chatbots allow students to access information and enhance their communication skills through practice and refinement [26] [41] [44] [80].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [26]
- Not checked yetcites [41]
- Not checked yetcites [44]
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This is in line with the results of previous studies that found that chatbots increase students' self-confidence and improve writing skills [42] [77].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [42] [77]
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Furthermore, these studies have established a correlation between one's attitudes towards technology and one's willingness to utilize or abstain from it [23].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > INTRODUCTION
What the sources say
- Not checked yetcites [23]
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
In the paper
“The survey method using questionnaires is an appropriate method for a descriptive study, specifically when the researcher is concerned with attitudes, as indicated by previous research [65].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
What the sources say
- Not checked yetcites [65]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“The above concerns are in line with the study findings by [14] that demonstrated concern regarding the incorrect and inaccurate information that ChatGPT could generate.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [14]
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Numerous studies in educational technology have demonstrated that attitude is the primary determinant of the desire to incorporate technology in the educational process.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > INTRODUCTION
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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Probably not a substantial claim.
In the paper
“According to the ABC model, attitude is a psychological construct encompassing three components: affect, behavior, and cognition.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 2.3 Student's attitude in the context of innovative learning tools
What the sources say
- Not checked yetcites [47][48][49][50]
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Further, users of contemporary technologies could demonstrate high levels of emotional dependency on a modern technological tool, causing technological addiction, which is an excessive and extreme use of technology involving non-human interactions [76].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [76]
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Based on the above literature, there is a pressing need to investigate students' attitudes towards utilizing ChatGPT in education.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 2.4 Previous studies
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
In the paper
“Within the realm of education, ChatGPT has the potential to enhance various aspects of learning, such as writing and research skills, personalized learning, learner autonomy, motivation, and engagement.Additionally, it may prove helpful in medical education and clinical decision-making [32] [41] [42].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 2.2 ChatGPT in the context of education
What the sources say
- Not checked yetcites [32] [41] [42]
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“This study represents the initial investigation into a burgeoning research field that can significantly influence students' ability to adapt to and accept novel technological advancements.”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > INTRODUCTION
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“The employment of descriptive quantitative design is a suitable method for exploring a variable within a specific population and obtaining data about it [65] [66].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.1 Design, participants, and procedures
What the sources say
- Not checked yetcites [65] [66]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
In the paper
“ChatGPT presents significant opportunities in education by facilitating the completion of homework assignments, recommending scholarly articles, and enabling students to tackle intricate tasks by providing essential information and innovative problem-solving techniques.This is achieved through the platform's capacity to generate human-like conversations [39] [40].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 2.2 ChatGPT in the context of education
What the sources say
- Not checked yetcites [39] [40]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Feeling anxiety and nervousness in the absence of technological tools are symptoms of technological tool addiction that hinder individuals from concentrating on their work or learning [75].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [75]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“As well, this result is in line with findings from previous studies that highlighted the potential of ChatGPT in education [14] [38] [42] [44].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [14] [38] [42] [44]
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The cognitive and affective components of attitude play a significant role in determining behavioral intention, which serves as the immediate motivating factor for actual behavior [74].”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 4 RESULTS AND DISCUSSION
What the sources say
- Not checked yetcites [74]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“| Affective | 1 | 0.688** | - |”
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
“| Cognitive | - | 1 | 0.792** |”
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
“| Behavioral | 0.790** | - | 1 |”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
- Also stated in: § Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education. · plain
The paper relies on this without support.
The population of undergraduate students at the University of Jordan during the second semester of the academic year 2022-2023 was 40,188.
“The population of this research was 40188 students, which are all undergraduates who enrolled at the University of Jordan during the second semester of the academic year 2022-2023.”
The paper relies on this without support.
Non-response bias is negligible; the 90% response rate did not bias the sample.
“623 questionnaires were returned, with a response rate of 90%.”
The paper relies on this without support.
The study is the first to evaluate undergraduates' attitudes regarding utilizing ChatGPT as a learning tool.
“The uniqueness of this study is that it is the first to evaluate undergraduates' attitudes regarding utilizing ChatGPT as a learning tool.”
The paper relies on this without support.
The absence of a study that investigated students' attitudes towards ChatGPT emphasized the need to replicate this study on a different population.
“Further, the absence of a study that investigated students' attitudes towards ChatGPT emphasized the need to replicate this study on a different population.”
The paper relies on this without support.
The significance of this study lies in the influence of attitudes on the adoption and incorporation of technology, particularly in the realm of education.
“The significance of this study lies in the influence of attitudes on the adoption and incorporation of technology, particularly in the realm of education.”
The paper relies on this without support.
Implementing ChatGPT enables uninterrupted communication throughout the day, enhancing student involvement by offering adaptable and confidential communication avenues that cater to the student's requirements.
“Implementing this technology enables uninterrupted communication throughout the day, enhancing student involvement by offering adaptable and confidential communication avenues that cater to the student's requirements.”
The paper relies on this without support.
Instant messaging systems facilitate improved student communication, enabling them to participate in more meaningful dialogues, respond to inquiries requiring elaboration, and receive prompt support.
“Furthermore, instant messaging systems facilitate improved student communication, enabling them to participate in more meaningful dialogues, respond to inquiries requiring elaboration, and receive prompt support.”
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?
In the citing paper
“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.”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [23]
In the citing paper
“Previous studies indicate that students are optimistic about the potential of ChatGPT to be used in universities [22,23].”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [23]
In the citing paper
“They believe that ChatGPT can be used to help them with their studies, such as providing personalized feedback and answering questions.”
From ChatGPT for Academic Purposes: Survey Among Undergraduate Healthcare Students in Malaysia (2024) · cites this paper as [23]
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.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
“| Total | | | | | | 3.77 ± 1.00 |”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > Fatima Abd-Alkareem Wahba is an Assistant Professor in the Education Technology department at Middle East University in Jordan. Her research interests include Artificial Intelligence in Education, Employing Technological Innovations, Smartphones and Multimedia Applications in Education.
Reported 3.77 · recomputed 3.87125
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.2 Study instrument
“The ATUC comprised 22 items (6-26) that were distributed across three subscales:”
§ Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan > 3.2 Study instrument
“c) the behavioral subscale (comprising seven items, [21][22][23][24][25][26][27].”
Citations
Cites
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Language Models are Few-Shot Learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · arXiv · doi:10.48550/arxiv.2005.14165 · Cited by 23,372
Sallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126
Gilson, 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
What 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
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.9 · Cited by 1,806
Bhattacherjee, A., & Premkumar, G. (2004) · MIS Quarterly · doi:10.2307/25148634 · Cited by 1,764
ChatGPT for Language Teaching and Learning
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · RELC Journal · doi:10.1177/00336882231162868 · Cited by 1,371
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021) · Complexity · doi:10.1155/2021/8812542 · Cited by 1,364
Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models
Liu, Y., Han, T., Ma, S., Zhang, J., Yang, Y., Tian, J., He, H., Li, A., He, M., Liu, Z., et al. (2023) · arXiv · doi:10.48550/arxiv.2304.01852 · Cited by 1,172
ChatGPT User Experience: Implications for Education
Zhai, X. (2023) · doi:10.2139/ssrn.4312418 · Cited by 935
Summary of ChatGPT-Related research and perspective towards the future of large language models
Liu, Y., Han, T., Ma, S., Zhang, J., Yang, Y., Tian, J., He, H., Li, A., He, M., Liu, Z., et al. (2023) · Meta-Radiology · doi:10.1016/j.metrad.2023.100017 · Cited by 855
Thompson, S. K. (2012) · Wiley series in probability and statistics · doi:10.1002/9781118162934 · Cited by 674
ChatGPT: A revolutionary tool for teaching and learning mathematics
Wardat, Y., Tashtoush, M. A., AlAli, R. M., & Jarrah, A. M. (2023) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/13272 · Cited by 673
The relationship between the affective, behavioral, and cognitive components of attitude
Ostrom, T. M. (1969) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(69)90003-1 · Cited by 625
ChatGPT in education: Strategies for responsible implementation
Halaweh, M. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13036 · Cited by 607
It's all about attitude: revisiting the technology acceptance model
Yang, H.-D., & Yoo, Y. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(03)00062-9 · Cited by 578
Albarracín, D., & Shavitt, S. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011911 · Cited by 572
Understanding Descriptive Research Designs and Methods
Siedlecki, S. L. (2019) · Clinical Nurse Specialist · doi:10.1097/nur.0000000000000493 · Cited by 565
Crawford, J., Cowling, M., & Allen, K.-A. (2023) · Journal of University Teaching and Learning Practice · doi:10.53761/1.20.3.02 · Cited by 547
Capabilities of GPT-4 on Medical Challenge Problems
Nori, H., King, N., McKinney, S. M., Carignan, D., & Horvitz, E. (2023) · arXiv · doi:10.48550/arxiv.2303.13375 · Cited by 509
Chatbot for university related FAQs
Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017) · 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2017.8126057 · Cited by 425
Use chat gpt to solve programming bugs
Surameery, N. M. S., & Shakor, M. Y. (2023) · International Journal of Information technology and Computer Engineering · doi:10.55529/ijitc.31.17.22 · Cited by 382
Impact of ChatGPT on Learning Motivation: Teachers and Students' Voices
Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. Q. (2023) · Journal of English Studies in Arabia Felix · doi:10.56540/jesaf.v2i1.51 · Cited by 335
Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023) · Narra J · doi:10.52225/narra.v3i1.103 · Cited by 331
How Chat GPT Can Transform Autodidactic Experiences and Open Education?
Firat, M. (2023) · doi:10.31219/osf.io/9ge8m · Cited by 280
Academy of Management Best Papers Proceedings
Filomena, B., Davide, D. G., Marcello, R., & Domenico, S. (2010) · Academy of Management Best Papers Proceedings · doi:10.5465/ambpp · Cited by 279
Mousavi Baigi, S. F., Sarbaz, M., Ghaddaripouri, K., Ghaddaripouri, M., Mousavi, A. S., & Kimiafar, K. (2023) · Health Science Reports · doi:10.1002/hsr2.1138 · Cited by 255
Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning
Hussein, Z. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.01.196 · Cited by 250
Students' attitudes toward computers: Validation of a computer attitude scale for 16–19 education
Selwyn, N. (1997) · Computers & Education · doi:10.1016/s0360-1315(96)00035-8 · Cited by 234
Family and work-related consequences of addiction to organizational pervasive technologies
Turel, O., Serenko, A., & Bontis, N. (2011) · Information & Management · doi:10.1016/j.im.2011.01.004 · Cited by 230
ChatGPT in education: a discourse analysis of worries and concerns on social media
Li, L., Ma, Z., Fan, L., Lee, S., Yu, H., & Hemphill, L. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12256-9 · Cited by 218
The Structure of Affect: Reconsidering the Relationship Between Negative and Positive Affectivity
Cropanzano, R., Weiss, H. M., Hale, J. M. S., & Reb, J. M. (2003) · Journal of Management · doi:10.1016/s0149-2063(03)00081-3 · Cited by 217
Educational Applications of the ChatGPT AI System: A Systematic Review Research
İPEK, Z. H., Gözüm, A. İ. C., Papadakis, S., & Kalogiannakis, M. (2023) · Educational Process International Journal · doi:10.22521/edupij.2023.123.2 · Cited by 215
Development and Validation of a Scale Measuring Student Attitudes Toward Artificial Intelligence
Suh, W., & Ahn, S. (2022) · SAGE Open · doi:10.1177/21582440221100463 · Cited by 205
Svenningsson, J., Höst, G., Hultén, M., & Hallström, J. (2022) · International Journal of Technology and Design Education · doi:10.1007/s10798-021-09657-7 · Cited by 200
Evaluating large language models on a highly-specialized topic, radiation oncology physics
Holmes, J., Liu, Z., Zhang, L., Ding, Y., Sio, T. T. W., McGee, L. A., Ashman, J. B., Li, X., Liu, T., Shen, J., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1219326 · Cited by 198
The Sampling Issues in Quantitative Research.
Delice, A. (2010) · Dspace Repository (Marmara Üniversitesi) · Cited by 197
Kurdi, B. H. A., Alshurideh, M. T., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v14i02.11115 · Cited by 195
Moldt, J.-A., Festl-Wietek, T., Madany Mamlouk, A., Nieselt, K., Fuhl, W., & Herrmann-Werner, A. (2023) · Medical Education Online · doi:10.1080/10872981.2023.2182659 · Cited by 186
EXPLORING TEACHERS’ ATTITUDES TOWARDS USING CHATGPT
Iqbal, N., Ahmed, H., & Azhar, K. A. (2022) · Global Journal for Management and Administrative Sciences · doi:10.46568/gjmas.v3i4.163 · Cited by 169
Gado, S., Kempen, R., Lingelbach, K., & Bipp, T. (2022) · Psychology Learning & Teaching · doi:10.1177/14757257211037149 · Cited by 153
ChatGPT for Higher Education and Professional Development: A Guide to Conversational AI
Atlas, S. (2023) · Journal of Media Literacy Education · Cited by 144
Sequence to Sequence Model Performance for Education Chatbot
Palasundram, K., Sharef, N. M., Nasharuddin, N. A., Kasmiran, K. A., & Azman, A. (2019) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v14i24.12187 · Cited by 114
Smartphone Addiction in University Students and Its Implication for Learning
Lee, J., Cho, B., Kim, Y., & Noh, J. (2015) · Lecture Notes in Educational Technology · doi:10.1007/978-3-662-44188-6_40 · Cited by 97
Malik, R., Shrama, A., Trivedi, S., & Mishra, R. (2021) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v16i18.24315 · Cited by 93
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsPreprint
Kasai, J., Kasai, Y., Sakaguchi, K., Yamada, Y., & Radev, D. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2303.18027 · Cited by 91
Design of a chatbot as a distance learning assistant
Tamayo, P. A., Herrero, A., Martín, J., Navarro, C., & Tránchez, J. M. (2019) · Open Praxis · doi:10.5944/openpraxis.12.1.1063 · Cited by 83
Teacher Attitude towards Use of Chatbots in Routine Teaching
Bii, P. K., Too, J., & Mukwa, C. W. (2018) · Universal Journal of Educational Research · doi:10.13189/ujer.2018.060719 · Cited by 81
Karakose, T., Demirkol, M., Aslan, N., Köse, H., & Yirci, R. (2023) · Educational Process International Journal · doi:10.22521/edupij.2023.123.1 · Cited by 65
Development of computer programming attitude scale for university students
Cetin, I., & Ozden, M. Y. (2015) · Computer Applications in Engineering Education · doi:10.1002/cae.21639 · Cited by 62
Liu, B., Xu, Y., Yang, Y., & Lu, S. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112390 · Cited by 62
Portfolio as a Learning Tool: Students’ Perspective
Elango, S., Jutti, R. C., & Lee, L. (2005) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.v34n8p511 · Cited by 61
Medical Students’ Knowledge and Attitude Towards Artificial Intelligence: An Online Survey
Al Saad, M. M., Shehadeh, A., Alanazi, S., Alenezi, M., Abu alez, A., Eid, H., Alfaouri, M. S., Aldawsari, S., & Alenezi, R. (2022) · The Open Public Health Journal · doi:10.2174/18749445-v15-e2203290 · Cited by 60
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission ExamsPreprint
Nunes, D., Primi, R., Pires, R., Lotufo, R., & Nogueira, R. F. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2303.17003 · Cited by 60
Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era
Cheng, K., Guo, Q., He, Y., Lu, Y., Gu, S., & Wu, H. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03221-1 · Cited by 60
An Attitude on Attitude Research
Bain, R. (1928) · American Journal of Sociology · doi:10.1086/214598 · Cited by 59
Andrew, M., Taylorson, J., Langille, D. J., Grange, A., & Williams, N. (2018) · Journal of Information Technology Education Research · doi:10.28945/4111 · Cited by 57
“A review on techniques, characteristics and approaches of an intelligent tutoring chatbot system,”
Ashfaque, M. W., Tharewal, S., Iqhbal, S., & Kayte, C. N. (2020) · 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC) · doi:10.1109/icsidempc49020.2020.9299583 · Cited by 52
Affective Effects of English Digital Textbook Lessons Using AI Chatbots
Kim, S., & Kim, J.-R. (2021) · Korean Association For Learner-Centered Curriculum And Instruction · doi:10.22251/jlcci.2021.21.10.37 · Cited by 41
Maeng, W., & Lee, J. (2021) · Asian CHI Symposium · doi:10.1145/3429360.3468203 · Cited by 33
Şişman, B., Gunay, D., & Kucuk, S. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2018.1474234 · Cited by 30
EFL Learners' Attitudes towards Using Computers as a Learning Tool in Language Learning.
Kıtchakarn, O. (2015) · The turkish online journal of educational technology · Cited by 27
ChatGPT in education: A discourse analysis of worries and concerns on social mediaPreprint
Li, L., Ma, Z., Fan, L., et al. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2305.02201 · Cited by 25
Ashari, Z. M., Ngadiman, A. A., Zainudin, N. F., & Jumaat, N. F. (2018) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v12i7.9711 · Cited by 19
Atabek, O., & Burak, S. (2020) · Eurasian Journal of Educational Research · doi:10.14689/ejer.2020.87.3 · Cited by 18
Development and Validation of Robotic Coding Attitude Scale
Yalçın, S. A., Kahraman, S., & Yılmaz, Z. A. (2020) · International Journal of Education in Mathematics Science and Technology · doi:10.46328/ijemst.v8i4.924 · Cited by 11
HOW GENERATIVE LANGUAGE MODELS CAN ENHANCE INTERACTIVE LEARNING WITH SOCIAL ROBOTS
Sonderegger, S. (2022) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2022_202207l012 · Cited by 11
Ji, Y., & Gao, S. (2023) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.giscience.2023.43 · Cited by 10
Questionnaire of Using Humanoid Robot for Teaching and Learning Kids
Yousif, J. H. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4002400 · Cited by 9
ANNIE CHAN: Three Short Stories Written with Chat GPT
Mcgee, R. W. (2023) · doi:10.13140/rg.2.2.21169.66401 · Cited by 8
Atabek, O., & Burak, S. (2020) · Eurasian Journal of Educational Research · doi:10.14689/ejer.2020.90.11 · Cited by 7
Gender and green IT practice - implications from the ABC model of attitude
Kapse, M., Bala, A., & Sharma, V. (2022) · International Journal of Business Innovation and Research · doi:10.1504/ijbir.2022.127178 · Cited by 5
Alias, M., Lashari, T. A., Akasah, Z. A., & Kesot, M. J. (2018) · International journal of engineering education · Cited by 4
الشنقيطي, أ. م. (2022) · المجلة العربية لعلوم الإعاقة والموهبة · doi:10.21608/jasht.2022.248044 · Cited by 3
Research works printed but not linked: 9
- A. Alharbi, A. Alsalami, and A. AlanzI, "Chat with ChatGPT on Industry 5.0: Learning and decision-making for intelligent industries," Journal of Control and Intelligent Systems, vol. 7, no. 1, pp. 25-36, 2022. https://doi.org/10.1000/1234567 · DOI
- A.B. Smith and C.D. Johnson, "Is Chat GPT Biased against Conservatives? An empirical study," Journal of Artificial Intelligence Research, vol. 65, pp. 573-592, 2022. https://doi. org/10.1613/jair.1.0345 · DOI
- J.D. Jones and K.L. Smith, "A conversation on Artificial Intelligence, Chatbots, and Plagiarism in higher education," Journal of Higher Education, vol. 93, no. 1, pp. 42-56, 2022. https://doi.org/10.1080/00221546.2022.2012345 · DOI
- A.O. Ajlouni and S.M. Rawadieh, "Technophobia and Technophilia among Undergrad- uates: Cross-national Research in Jordan, Qatar, and Egypt," Journal of Social Studies Education Research, vol. 13, no. 4, pp. 24-55, 2022.
- International Conference on Artificial Intelligence in Education. (2019, May 19). UNESCO. Retrieved from https://ar.unesco.org/events/lmwtmr-ldwly-bshn-twzyf-ldhk- lstny-fy-ltlym
- N.M.S. Surameery and M.Y. Shakor, "Use Chatgpt to solve programming bugs," International Journal of Information Technology & Computer Engineering (IJITC), vol. 3, no. 01, pp. 17-22, 2023. https://doi.org/10.55529/ijitc.31.17.22 · DOI · Paper page
- V. Jain, "3D model of attitude," International Journal of Advanced Research in Management and Social Sciences, vol. 3, no. 3, pp. 1-12, 2014.
- P. Bii, J. Too, and R. Langat, "An investigation of student's attitude towards use of chatbot technology in instruction: The case of Knowie in a selected high school," International Research Journals, vol. 4, no. 10, pp. 710-716, 2013.
- C. Baker, "Quantitative research designs: Experimental, quasi-experimental, and descrip- tive," Evidencebased practice: An integrative approach to research, administration, and practice, pp. 155-183, 2017.
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Acosta-Enriquez, B. G., Ballesteros, M. A. A., Várgas, C. G. A. P., Ulloa, M. N. O., Ulloa, C. R. G., Romero, J. P., Jaramillo, N. D. G., Orellana, H. U. C., Anzoategui, D. X. A., & Roca, C. L. (2024) · International Journal for Educational Integrity · doi:10.1007/s40979-024-00157-4 · Cited by 206
Metadata
- Authors
- O. Ajlouni, A., Abd-Alkareem Wahba, F., & Salem Almahaireh, A.
- Venue
- International Journal of Interactive Mobile Technologies (iJIM)
- Published
- 2023-09-20
- Volume
- 17
- Issue
- 18
- Pages
- 99-117
- ISSN
- 1865-7923 (ISSN-L)
- OpenAlex
- W4386897099
- Semantic Scholar
- 9b432d96256fb20162d2ed80d05a9039099df68e
- Cited by
- 116
- References
- 75
- Citations by year
- 2026: 19 · 2025: 47 · 2024: 49 · 2023: 1
- FWCI
- 27.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal of Interactive Mobile Technologies (iJIM) (publishedVersion, cc-by)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- ChatGPT, student attitudes, generative AI in education, learning tools, ABC model of attitudes, undergraduate students, AI anxiety, AI misuse, University of Jordan
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