From the Consumers’ Side: Determining Students’ Perception and Intention to Use ChatGPTin Ghanaian Higher Education
Open accessAbstract
The advent and development of technologies such as artificial intelligence have created benefits and challenges for educational stakeholders. Artificial intelligence, such as OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT), has brought new benefits, challenges and pressures for higher educational institutions. There are relatively few reports of how students perceive and intend to use ChatGPT. Taking cognizance of these, the research explored students’ perceptions and intentions to use ChatGPT in their higher education. Guided by two hypotheses and a mixed-method approach, the analysis revealed no statistical relationship between perception and intention to use ChatGPT. Despite this statistical relationship, the study reported students’ positive perceptions towards ChatGPT, and intentions to use ChatGPT and advocated its adoption in education. Based on these findings, the study offers implications for educational practices and further research.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Perceived cost is an important factor affecting students' intention to use GenAI.
“Compared to previous studies which utilised TAM to explore the relationship between perceived usefulness, perceived ease of use, and intention to use (e.g., Bonsu & Baffour-Koduah, 2023;Hu, 2022;Kim et al., 2020), this EVTbased study shows that perceived cost is also an important factor affecting students' intention to use GenAI.”
From An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI (2023) · cites this paper as Bonsu & Baffour-Koduah, 2023
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · cited 3× · see citing works
“The perceived usefulness component evaluated the degree to which a person believes that using technology would enhance their performance and produce a better outcome (Agbaglo & Author, 2022; Davis, 1989; Scherer et al., 2019).”
BackgroundInfluentialUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · cited 1× · see citing works
“TAM has the core assumption that the perceived usefulness (PU) of technology and the perceived ease of use (PEOU) influence a person’s attitude concerning the use of technology (Davis et al., 1989).”
BackgroundUnderstanding the role of digital technologies in education: A review
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022) · Sustainable Operations and Computers · doi:10.1016/j.susoc.2022.05.004 · Cited by 2,647 · cited 1× · see citing works
“20 use new technology are facilitated by experience (Almaiah et al., 2022; Haleem et al., 2022).”
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 2× · see citing works
“, 2023; Hu, 2023; Pavlik, 2023) and empirical-based (Gilson et al., 2023; Khalil & Er, 2023; Tlili et al., 2023).”
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 7× · see citing works
“The studies (Anson & Straune, 2022; Essel et al., 2022; Pavlik, 2023; Tlili et al., 2023) within the educational context evidence the criticality of ChatGPT in education.”
BackgroundMethodResultInfluentialScherer, R., Siddiq, F., & Tondeur, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.009 · Cited by 1,923 · see citing works
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 · cited 1× · see citing works
“The research is positioned in the context of Artificial Intelligence in Education (AIEd) (Rudolph et al., 2023) which discusses opportunities and threats of technologies in”
BackgroundQuestionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research
Brace, I. (2004) · Choice Reviews Online · doi:10.5860/choice.51-0965 · Cited by 1,166 · cited 2× · see citing works
“We used a close-ended fivepoint Likert scale which provides a higher level of impartiality and it is suitable discrimination for the research and also facilitates the understanding of the participants (Brace, 2004).”
BackgroundMethodPavlik, J. V. (2023) · Journalism & Mass Communication Educator · doi:10.1177/10776958221149577 · Cited by 972 · cited 4× · see citing works
“Moreover, the reviewed studies are generalized except for Bommarito and Katz (2022) who focused on USA Bar Exams, and Qadir (2022) who explored engineering education.”
BackgroundInfluentialChatGPT User Experience: Implications for Education
Zhai, X. (2023) · doi:10.2139/ssrn.4312418 · Cited by 935 · cited 2× · see citing works
“With their widespread internet use (Zhang et al., 2021), they are technologically savvy and spend more time online aspiring to be different while belonging to their cohort (Smith, 2012). According to Shin and Lee (2021), such age cohorts are first-generation born and raised in the digital age, hence, their inclination…”
BackgroundCorporate social reporting and reputation risk management
Bebbington, J., Larrinaga, C., & Moneva, J. (2008) · Accounting Auditing & Accountability Journal · doi:10.1108/09513570810863932 · Cited by 909 · see citing works
ChatGPT: the future of discharge summaries?
Patel, S. B., & Lam, K. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00021-3 · Cited by 728 · see citing works
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Qadir, J. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon54358.2023.10125121 · Cited by 707 · see citing works
Mathematical Capabilities of ChatGPT
Frieder, S., Pinchetti, L., Griffiths, R.-R., Salvatori, T., Lukasiewicz, T., Petersen, P., Chevalier, A., & Berner, J. (2023) · Neural Information Processing Systems · doi:10.52202/075280-1205 · Cited by 630 · cited 2× · see citing works
“Also, Lametti (2022) and Frieder et al. (2023) expressed that AI systems failed to solve mathematical problems. Consequently, Bang et al. (2023) comprehensively confirmed the performance of ChatGPT based on a 64.”
BackgroundTechnology Acceptance Model in M-learning context: A systematic review
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018) · Comput. Educ. · doi:10.1016/j.compedu.2018.06.008 · Cited by 624 · see citing works
ChatGPT and the future of medical writing
Biswas, S. (2023) · Radiology · doi:10.1148/radiol.223312 · Cited by 571 · cited 3× · see citing works
“, 2023), the improved results associated with them (Pavlik, 2023), and the excellent user experience (Biswas, 2023; Tlili et al., 2023) models students’ advocacy for incorporating ChatGPT into higher education.”
BackgroundEssel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-022-00362-6 · Cited by 428 · cited 7× · see citing works
“Moreover, we support the recommendation by Essel et al. (2022) that universities should endeavor to establish Educational Technology Centers to manage such innovations permeating higher education. While the benefits were acknowledged, educational stakeholders should strategize measures to control the ChatGPT’s use whi…”
BackgroundResultInfluentialOpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare
Aydın, Ö., & Karaarslan, E. (2022) · doi:10.2139/ssrn.4308687 · Cited by 391 · see citing works
Will ChatGPT get you caught? Rethinking of Plagiarism DetectionPreprint
Khalil, M., & Er, E. (2023) · Interacción · doi:10.48550/arxiv.2302.04335 · Cited by 369 · see citing works
Longitudinal Study of Digital Marketing Strategies Targeting Millennials
Smith, K. T. (2012) · Journal of Consumer Marketing · doi:10.1108/07363761211206339 · Cited by 299 · see citing works
Unpacking teachers’ intentions to integrate technology: A meta-analysis
Scherer, R., & Teo, T. (2019) · Educational Research and Reviews · doi:10.1016/j.edurev.2019.03.001 · Cited by 295 · see citing works
Using AI to write scholarly publications
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2024) · Accountability in Research · doi:10.1080/08989621.2023.2168535 · Cited by 286 · cited 9× · see citing works
“OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT), a 175-billion parameter, forms part of a nexus of natural language processing (NLP) models designed to enable computers to interact with human language (Hosseini et al., 2023; OpenAI, 2022).”
BackgroundInfluentialCan ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Wang, S., Scells, H., Koopman, B., & Zuccon, G. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3539618.3591703 · Cited by 275 · see citing works
Blackwell, C. K., Lauricella, A. R., Wartella, E., Robb, M., & Schomburg, R. (2013) · Comput. Educ. · doi:10.1016/j.compedu.2013.07.024 · Cited by 254 · cited 1× · see citing works
“Blackwell et al. (2013) shared similar insights on the benefits of technologies in”
BackgroundChatGPT is not all you need. A state-of-the-art review of large generative AI models
Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023) · arXiv · doi:10.48550/arxiv.2301.04655 · Cited by 245 · see citing works
Lüderitz, B. (2005) · Journal of interventional cardiac electrophysiology · doi:10.1007/s10840-005-0167-7 · Cited by 234 · cited 2×
“4 research coincide with Wang et al. (2023) and Gozalo-Brizuela et al.”
ResultHow to cheat on your final paper: Assigning AI for student writing
Fyfe, P. (2023) · AI & SOCIETY · doi:10.1007/s00146-022-01397-z · Cited by 205 · cited 8× · see citing works
“, 2023; Hu, 2023; Pavlik, 2023) and empirical-based (Gilson et al., 2023; Khalil & Er, 2023; Tlili et al., 2023). Yeo-The and Tang (2023) suggested some technical points for the editorial to develop new policies to detect and disregard AI-generated papers. They added that such generated manuscripts should not be liste…”
BackgroundResultInfluentialGPT Takes the Bar ExamPreprint
Bommarito, M., & Katz, D. (2022) · Social Science Research Network · doi:10.48550/arxiv.2212.14402 · Cited by 195 · see citing works
Goh, E., & Sigala, M. (2020) · Journal of Teaching in Travel & Tourism · doi:10.1080/15313220.2020.1740636 · Cited by 145 · see citing works
Predicting students’ intention to adopt mobile learning
Buabeng-Andoh, C. (2018) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-03-2017-0004 · Cited by 142 · cited 14× · see citing works
“There is a growing interest in adopting several technologies in higher educational institutions in developing countries, such as Ghana (Afari, & Achampong, 2010; Anamoah-Mensah, 2011; Buabeng-Andoh, 2018). This study, through TAM, evaluates how best ChatGPT could be accepted and used in higher education. The recent ad…”
BackgroundInfluentialOnline exam proctoring technologies: Educational innovation or deterioration?
Lee, K., & Fanguy, M. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13182 · Cited by 139 · see citing works
Factors impacting special education teachers’ acceptance and actual use of technology
Siyam, N. (2019) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-018-09859-y · Cited by 136 · see citing works
A Descriptive Assessment of Higher Education Access, Participation, Equity, and Disparity in Ghana
Atuahene, F., & Owusu-Ansah, A. (2013) · SAGE Open · doi:10.1177/2158244013497725 · Cited by 131 · see citing works
Papadakis, S. (2018) · Int. J. Mob. Learn. Organisation · doi:10.1504/ijmlo.2018.10013372 · Cited by 130 · cited 1×
“Interestingly, other relevant studies have noted that such technologies provided students with incalculable information which supported their learning (Essel et al., 2022; Papadakis, 2018; Zakaria & Khalid, 2016).”
BackgroundHow technology shapes assessment design: Findings from a study of university teachers
Bennett, S., Dawson, P., Bearman, M., Molloy, E., & Boud, D. (2017) · British Journal of Educational Technology · doi:10.1111/bjet.12439 · Cited by 130 · see citing works
Fearnley, M., & Amora, J. (2020) · IAFOR Journal of Education · doi:10.22492/ije.8.2.05 · Cited by 128 · see citing works
Using technology to facilitate effective assessment for learning and feedback in higher education
Deeley, S. (2018) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2017.1356906 · Cited by 109 · cited 1× · see citing works
“Although the study reports the adoption of ChatGPT in higher education, more research is needed to justify how this technology could be implemented in higher institutions (Bennet et al., 2017; Deeley, 2018).”
MethodDeterminants Influencing the Continuous Intention to Use Digital Technologies in Higher Education
Almaiah, M. A., Alfaisal, R., Salloum, S., Al-Otaibi, S. T., Sawafi, O. S. A., Al-Maroof, R., Lutfi, A., Alrawad, M., Mulhem, A. A. A., & Awad, A. B. (2022) · Electronics · doi:10.3390/electronics11182827 · Cited by 79 · see citing works
Yeo-Teh, N. S. L., & Tang, B. L. (2023) · Accountability in Research · doi:10.1080/08989621.2023.2177160 · Cited by 68 · see citing works
Challenges for enforcing editorial policies on AI-generated papers
Hu, G.-W. (2023) · Accountability in Research · doi:10.1080/08989621.2023.2184262 · Cited by 64 · cited 6× · see citing works
“stages revealed that (1) people are positive and enthusiastic regarding the use of ChatGPT, (2) ChatGPT transforms education, and (3) there were issues about cheating, truthfulness, honesty, and manipulation. Their findings suggested some directions for the secured adoption and implementation of ChatGPT in education.…”
BackgroundInfluentialVR as a choice: what drives learners’ technology acceptance?
Noble, S., Saville, J. D., & Foster, L. L. (2022) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00310-w · Cited by 59 · cited 1× · see citing works
“Conversely, technology acceptance and use currently appear problematic for most higher educational institutions (Noble et al., 2022).”
BackgroundZakaria, N., & Khalid, F. (2016) · doi:10.4236/ce.2016.711158 · Cited by 51
Mathematics, word problems, common sense, and artificial intelligencePreprint
Davis, E. (2023) · Bulletin of the American Mathematical Society · doi:10.48550/arxiv.2301.09723 · Cited by 44 · cited 1× · see citing works
“Davis (2023) noted that it lacks commonsense in reasoning tasks and its language coverage is questionable (Jiao et al.”
BackgroundAnson, C. M., & Straume, I. S. (2022) · Journal of Academic Writing · doi:10.18552/joaw.v12i1.820 · Cited by 42 · see citing works
Postgraduate Distance Education in University of Cape Coast, Ghana: Students’ Perspectives
Andoh, R. P. K., Appiah, R., & Agyei, P. M. (2020) · International Review of Research in Open and Distance Learning · doi:10.19173/irrodl.v21i2.4589 · Cited by 40
Liang, L., Li, C., Meng, C., Guo, X.-M., Lv, J., Fei, J., & Mei, S.-L. (2022) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2022.03.007 · Cited by 39 · cited 1× · see citing works
“There is supporting literature which has reported students’ fear and discomfort with using new technologies in education (Liang et al., 2022; Siddique et al., 2022).”
BackgroundThe AI teacher test: Measuring the pedagogical ability of blender and GPT-3 in educational dialogues
Tack, A., & Piech, C. (2022) · arXiv · doi:10.48550/arxiv.2205.07540 · Cited by 36 · cited 2× · see citing works
“These advantages concurred with the reasons for using ChatGPT as Tlili et al. (2023) confirmed from their research.”
BackgroundResultCHARTING HIGHER EDUCATION DEVELOPMENT IN GHANA: GROWTH, TRANSFORMATIONS, AND CHALLENGES
Atuahene, F. (2014) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1479-3679(2013)0000021011 · Cited by 28 · cited 3× · see citing works
“From a general perspective, Atuahene and Owusu-Ansah (2013) reported a higher representation of males in higher education than females. Kwapong (2007) and Atuahene (2014) provided similar accounts. Concerning this study, Tagoe (2012) noted that male students were more likely to use the internet and other technologies…”
BackgroundInfluentialZhang, Y., Wen, Y., & Hou, M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.636922 · Cited by 20 · cited 1× · see citing works
“With their widespread internet use (Zhang et al., 2021), they are technologically savvy and spend more time online aspiring to be different while belonging to their cohort (Smith, 2012).”
BackgroundAthlete brand image influence on the behavioral intentions of Generation Z
Shin, J.-H., & Lee, J. W. (2021) · doi:10.2224/sbp.9533 · Cited by 18
Agbaglo, E., & Bonsu, E. M. (2022) · Social Education Research · doi:10.37256/ser.3320221402 · Cited by 12 · see citing works
Self-citationSiddique, M., Hamayun, M., & Khan, M. A. (2022) · Gomal University Journal of Research · doi:10.51380/gujr-38-02-05 · Cited by 5 · cited 1× · see citing works
“There is supporting literature which has reported students’ fear and discomfort with using new technologies in education (Liang et al., 2022; Siddique et al., 2022).”
Flagged first, then by citations
17 of the 69 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2023.100115 · Cited by 535 · see citing works
An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI
Chan, C. K. Y., & Zhou, W. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00284-4 · Cited by 192 · see citing works
“…to previous studies which utilised TAM to explore the relationship between perceived usefulness, perceived ease of use, and intention to use (e.g., Bonsu & Baffour-Koduah, 2023; Hu, 2022; Kim et al., 2020), this EVT-based study shows that perceived cost is also an important factor affecting…”
MethodGruenhagen, J. H., Sinclair, P. M., Carroll, J.-A., Baker, P. R. A., Wilson, A., & Demant, D. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100273 · Cited by 180 · see citing works
Sun, L., & Zhou, L. (2024) · Journal of Educational Computing Research · doi:10.1177/07356331241277937 · Cited by 129 · see citing works
Salifu, I., Arthur, F., Arkorful, V., Nortey, S. A., & Osei-Yaw, R. S. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2023.2300177 · Cited by 119 · see citing works
“…utaut2 to provide a comprehensive understanding of the factors linked to students’ intentions and actual usage of ChatGPt. although a recent study by Bonsu and Baffour-Koduah (2023) investigated higher education students’ perceptions of ChatGPt in Ghana, it did not use the utaut2 theoretical…”
Bhaskar, P., Misra, P., & Chopra, G. (2024) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-11-2023-0220 · Cited by 48 · see citing works
Maxwell, D., Oyarzun, B., Kim, S., & Bong, J. Y. (2025) · TechTrends · doi:10.1007/s11528-025-01109-6 · Cited by 80 · see citing works
“…in the learning process (Chan & Zhou, 2023; Raman et al., 2023) in addition to their potential to improve learning outcomes, increased efficiency in education processes, capacity of GenAI to provide personalized feedback, and rapid idea generation (Bonsu & Baffour-Koduah, 2023; Chan & Zhou, 2023).”
InfluentialFamaye, T., Bailey, C. S., Adisa, I. O., & Irgens, G. A. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.651 · Cited by 40 · see citing works
Artificial intelligence in education: Next-gen teacher perspectives
National University of Science and Technology Politehnica Bucharest, U. C. P., Samarescu, N., Bumbac, R., Bucharest University of Economic Studies, B., Zamfiroiu, A., Bucharest University of Economic Studies, B., Iorgulescu, M.-C., & Bucharest University of Economic Studies, B. (2024) · Amfiteatru Economic · doi:10.24818/ea/2024/65/145 · Cited by 28 · see citing works
Salifu, I., Arthur, F., Acquah, B. Y. S., Opoku, E., Nortey, S. A., & Boateng, E. (2025) · Discover Education · doi:10.1007/s44217-025-00603-6 · Cited by 20 · see citing works
Key factors influencing intention to use ChatGPT: An empirical study of U.S. students
Pham, L. K., Klaus, T., & Bateh, J. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105516 · Cited by 27 · see citing works
Exploring Gen Z Perspectives Toward ChatGPT in Academic Contexts
Venugopal, K. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-4268-8.ch004 · Cited by 12 · see citing works
Obed, K., Anangisye, W. A. L., & Sanga, P. L. (2025) · Quality Assurance in Education · doi:10.1108/qae-06-2024-0100 · Cited by 18 · see citing works
The Usage of Artificial Intelligence in Education in Light of the Spread of ChatGPT
Hassan, A. (2023) · Contributions to management science · doi:10.1007/978-981-99-6101-6_50 · Cited by 10 · see citing works
Asamoah, M. K., & Amarteifio, J. (2025) · SN Social Sciences · doi:10.1007/s43545-025-01184-9 · Cited by 12 · see citing works
Interlinking FinTech and eHealth: a qualitative study
Al-Anezi, F. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1398136 · Cited by 6 · see citing works
<p>Yican Li, Y. D. (2024) · Frontiers in Educational Research · doi:10.25236/fer.2024.070401 · Cited by 9 · see citing works
Duah, J. E., Lu, X. B., McGivern, P., & Jing, Y. (2024) · International Conference on Big Data and Education (ICBDE) · doi:10.1145/3704289.3704293 · Cited by 7 · see citing works
Ghalayini, Y. E., & Gouia‐Zarrad, R. (2023) · The Proceedings of the International Conference on Innovative Research in Education. · doi:10.33422/6th.ireconf.2023.07.112 · Cited by 2 · see citing works
Awareness of ChatGPT Among Medical Students and Trainee/Residents
Lateef, H., Arshad, R., Ayesha, E., Hanif, S., Zainab, A., Naseer, O., Shahzad, F., & Afzal, S. (2024) · Journal of Society of Prevention Advocacy and Research KEMU · doi:10.21649/jspark.v3i1.375 · Cited by 1 · see citing works
Imran, M., Shahid, A. R., Hou, M., & Imteaj, A. (2024) · doi:10.36227/techrxiv.170630660.06963201/v1 · Cited by 4 · see citing works
Utilization of Artificial Intelligence on Educational Climate and Students’ Academic Achievement
Chanpokin, R., & Lomarda, E. Y. (2025) · Psychology and Education A Multidisciplinary Journal · doi:10.70838/pemj.350509
Impact of Using ChatGPT on Students
Zia, R. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2297-1.ch004
Athletes’ Perceptions and Intentions to Use ChatGPT for Workout Plans
Tutor, B. O. D., Tabing, E. V. P., Maroto, M. J. B., Junio, J. J., & Javen, J. (2025) · International Workshop on Artificial Intelligence and Education (WAIE) · doi:10.1109/waie67422.2025.11381133
“Research has shown that users generally express their intention to use and continue using ChatGPT [25], [26].”
Transforming STEM Education with AI: Potential and Pitfalls
Tunga, Y., & Çağıltay, K. (2026) · Springer texts in education · doi:10.1007/978-3-032-18806-9_9
Gamez, J. N., Jagonia, J. B. V., & Torres, R. C. (2026) · International Conference on e-Education, e-Business, e-Management and e-Learning · doi:10.1109/ic4e69618.2026.11631604
“This makes students view generative AI tools as helpful in fostering engagement [6, 7, 8].”
- Authors
- Bonsu, E., & Baffour-Koduah, D.
- Affiliations
- University of Cape Coast (GH)
- Corresponding author
- Bonsu, Emmanuel
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2023
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4327639140
- Cited by
- 26
- References
- 69
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 11 · 2023: 4
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- ChatGPT, generative AI in education, student perceptions, intention to use, technology acceptance, higher education, Ghanaian higher education, AI adoption in education
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review