[
Afari, E., & Achampong, A. (2010). Modeling computer usage intentions of tertiary students in a developing country through the technology acceptance model. International Journal of Education and Development using ICT, 6(1), 102-116.
]Search in Google Scholar
[
Afful, J. B. A., & Tetteh, G. (2022). Form in examiner comments on MPhil thesis literature reviews in a Ghanaian university. International Journal of Research, 11(2), 13-25.
]Search in Google Scholar
[
Agbaglo, E., & Bonsu, E. M. (2022). The role of digital technologies in higher education during the coronavirus pandemic: Insights from a Ghanaian university. Social Education Research, 45-57. https://doi.org/10.37256/ser.3320221402
]Search in Google Scholar
[
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in m-learning context: A systematic review. Computers & Education, 125, 1–41. https://doi.org/10.1016/j.compedu.2018.06.008
]Search in Google Scholar
[
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Al-Otaibi, S., Al Sawafi, O. S., Al-Maroof, R. S., ... & Awad, A. B. (2022). Determinants influencing the continuous intention to use digital technologies in Higher Education. Electronics, 11(18), 2827. https://doi.org/10.3390/electronics11182827
]Search in Google Scholar
[
Anamoah-Mensah, S. (2011). T141-ID using the technology acceptance model to predict Ghanaian students acceptance and adoption of mobile learning. Paper presented at the annual meeting of the AECT International Convention, Hyatt Regency Jacksonville Riverfront, Jacksonville, FL.
]Search in Google Scholar
[
Andoh, R. P. K., Appiah, R., & Agyei, P. M. (2020). Postgraduate distance education in university of cape coast, Ghana: Students’ perspectives. International Review of Research in Open and Distributed Learning, 21(2), 118-135.
]Search in Google Scholar
[
Ankrah, E., & Atuase, D. (2018). The use of electronic resources by postgraduate students of the University of Cape Coast. Library Philosophy and Practice, 1-37.
]Search in Google Scholar
[
Anson, C. M., & Straume, I. (2022). Amazement and trepidation: Implications of AI-based natural language production for the teaching of writing. Journal of Academic Writing, 12(1), 1-9.
]Search in Google Scholar
[
Atuahene, F. (2014). Charting higher education development in Ghana: Growth, transformations, and challenges. In The development of higher education in Africa: Prospects and challenges ( pp. 215-263). Emerald Group Publishing Limited.
]Search in Google Scholar
[
Atuahene, F., & Owusu-Ansah, A. (2013). A descriptive assessment of higher education access, participation, equity, and disparity in Ghana. Sage Open, 3(3), 21-34.
]Search in Google Scholar
[
Aydın, Ö., & Karaarslan, E. (2022). OpenAI ChatGPT generated literature review: Digital twin in healthcare. In Ö. Aydın (Ed.), Emerging computer technologies (pp. 22-31). İzmir Akademi Dernegi.
]Search in Google Scholar
[
Bebbington, J., Larrinaga, C., & Moneva, J. M. (2008). Corporate social reporting and reputation risk management. Accounting, Auditing & Accountability Journal, 21(3), 337-361.
]Search in Google Scholar
[
Bennett, S., Dawson, P., Bearman, M., Molloy, E., & Boud, D. (2017). How technology shapes assessment design: Findings from a study of university teachers. British Journal of Educational Technology, 48, 672–682. https://doi.org/10.1111/bjet.12439
]Search in Google Scholar
[
Biswas, S. (2023). ChatGPT and the Future of Medical Writing. Radiology, 22-33. https://doi.org/10.1148/radiol.223312
]Search in Google Scholar
[
Blackwell, C. K., Lauricella, A. R., Wartella, E., Robb, M., & Schomburg, R. (2013). Adoption and use of technology in early education: The interplay of extrinsic barriers and teacher attitudes. Computers & Education, 69, 310-319. https://doi.org/10.1016/j.compedu.2013.07.024
]Search in Google Scholar
[
Bommarito II, M., & Katz, D. M. (2022). GPT takes the bar exam. arXiv preprint arXiv:2212.14402. https://doi.org/10.48550/arXiv.2212.14402
]Search in Google Scholar
[
Brace, I. (2004). Questionnaire design: How to plan, structure and write survey material for effective market research. UK and Sterling, VA, London.
]Search in Google Scholar
[
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning: A combination of theory of reasoned action and technology acceptance model. Journal of Research in Innovative Teaching & Learning, 11(2), 178-191. https://doi.org/10.1108/JRIT-03-2017-0004
]Search in Google Scholar
[
Creswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.
]Search in Google Scholar
[
Davis, E. (2023). Mathematics, word problems, common sense, and artificial intelligence. arXiv preprint arXiv:2301.09723. https://doi.org/10.48550/arXiv.2301.09723
]Search in Google Scholar
[
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user accpetance of information technology. MIS Quarterly, 13(3), 319–339. https://doi.org/10.2307/249008
]Search in Google Scholar
[
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003. https://doi.org/10.1287/mnsc.35.8.982
]Search in Google Scholar
[
Deeley, S. J. (2018). Using technology to facilitate effective assessment for learning and feedback in higher education. Assessment & Evaluation in Higher Education, 43, 439–448. https://doi.org/10.1080/02602938.2017.1356906
]Search in Google Scholar
[
Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(1), 1-19. https://doi.org/10.1186/s41239-022-00362-6
]Search in Google Scholar
[
Fathema, N., Shannon, D., & Ross, M. (2015). Exapnding the technology acceptance model (TAM) to examine faculty use of learning management systems (LMSs) in higher education. Merlot, 11(2), 210–232. https://jolt.merlot.org/Vol11no2/Fathema_0615.pdf
]Search in Google Scholar
[
Fearnley, M. R., & Amora, J. T. (2020). Learning management system adoption in higher education using the extended technology acceptance model. IAFOR Journal of Education, 8(2), 89-106.
]Search in Google Scholar
[
Frieder, S., Pinchetti, L., Griffiths, R. R., Salvatori, T., Lukasiewicz, T., Petersen, P. C., ... & Berner, J. (2023). Mathematical capabilities of ChatGPT. arXiv preprint arXiv:2301.13867. https://doi.org/10.48550/arXiv.2301.13867
]Search in Google Scholar
[
Fyfe, P. (2022). How to cheat on your final paper: Assigning AI for student writing. AI & Society, 1-11.
]Search in Google Scholar
[
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023). How does CHATGPT perform on the United States Medical Licensing Examination? the implications of large language models for medical education and knowledge assessment. JMIR Medical Education, 9(1), e45312.
]Search in Google Scholar
[
Goh, E., & Sigala, M. (2020). Integrating information & communication technologies (ICT) into classroom instruction: Teaching tips for hospitality educators from a diffusion of innovation approach. Journal of Teaching in Travel & Tourism, 20(2), 156-165. https://doi.org/10.1080/15313220.2020.1740636
]Search in Google Scholar
[
Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023). ChatGPT is not all you need: A state of the art review of large generative AI models. arXiv preprint arXiv:2301.04655. https://doi.org/10.48550/arXiv.2301.04655
]Search in Google Scholar
[
Grant, N., & Mets, C. (2022). A new chat bot is a code red for Google’s search business. The New York Times, Dec 21, 2022 https://www.nytimes.com/2022/12/21/technology/ai-chatgptgoogle-search.html Date accessed: February 1, 2023
]Search in Google Scholar
[
Gyamfi, S. A. (2016). Identifying Ghanaian pre-service teachersâ readiness for computer use: A technology acceptance model approach. International Journal of Education and Development Using ICT, 12(2), 105-122.
]Search in Google Scholar
[
Haleem, P. A., Javaid, D. M., Qadri, P. M. A., & Suman, D. R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285. https://doi.org/10.1016/j.susoc.2022.05.004
]Search in Google Scholar
[
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2023). Using AI to write scholarly publications. Accountability in Research, 1-9.
]Search in Google Scholar
[
Hu, G. (2023). Challenges for Enforcing Editorial Policies on AI-generated Papers. Accountability in Research, (just-accepted). https://doi.org/10.1080/08989621.2023.2184262
]Search in Google Scholar
[
Jiao, W., Wang, W., Huang, J. T., Wang, X., & Tu, Z. (2023). Is ChatGPT a good translator? A preliminary study. arXiv preprint arXiv:2301.08745. https://doi.org/10.48550/arXiv.2301.08745
]Search in Google Scholar
[
Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv preprint arXiv:2302.04335, 1-13. https://doi.org/10.48550/arXiv.2302.04335
]Search in Google Scholar
[
Kwapong, O. A. T. F. (2007). Widening access to tertiary education for women in Ghana through distance education. Turkish Online Journal of Distance Education, 8(4), 65-79.
]Search in Google Scholar
[
Lametti, D. 2022, (December 7). A.I. Could Be Great for College Essays. Slate. Last accessed March 1, 2023: https://slate.com/technology/2022/12/chatgpt-college-essay-plagiarism.html.
]Search in Google Scholar
[
Lee, K., & Fanguy, M. (2022). Online exam proctoring technologies: Educational innovation or deterioration?. British Journal of Educational Technology, 53(3), 475-490. https://doi.org/10.1111/bjet.13182
]Search in Google Scholar
[
Liang, L., Li, C., Meng, C., Guo, X., Lv, J., Fei, J., & Mei, S. (2022). Psychological distress and internet addiction following the COVID-19 outbreak: Fear of missing out and boredom proneness as mediators. Archives of Psychiatric Nursing, 40, 8-14. https://doi.org/10.1016/j.apnu.2022.03.007
]Search in Google Scholar
[
Muñoz, J. L. R., Ojeda, F. M., Jurado, D. L. A., Peña, P. F. P., Carranza, C. P. M., Berríos, H. Q., ... & Vasquez-Pauca, M. J. (2022). Systematic review of adaptive learning technology for learning in higher education. Eurasian Journal of Educational Research, 98(98), 221-233.
]Search in Google Scholar
[
Noble, S. M., Saville, J. D., & Foster, L. L. (2022). VR as a choice: What drives learners’ technology acceptance? International Journal of Educational Technology in Higher Education, 19, 6-20. https://doi.org/10.1186/s41239-021-00310-w
]Search in Google Scholar
[
OpenAI. ChatGPT: optimizing language models for dialogue. OpenAI. 2022 Nov 30. URL: https://openai.com/blog/chatgpt/
]Search in Google Scholar
[
Papadakis, S. (2018). Evaluating pre-service teachers’ acceptance of mobile devices with regards to their age and gender: a case study in Greece. International Journal of Mobile Learning and Organisation, 12(4), 336-352. https://doi.org/10.1504/IJMLO.2018.095130
]Search in Google Scholar
[
Patel, S. B., & Lam, K. (2023). ChatGPT: the future of discharge summaries?. The Lancet Digital Health. https://doi.org/10.1016/S2589-7500(23)00021-3
]Search in Google Scholar
[
Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. Journalism & Mass Communication Educator, 10-22.
]Search in Google Scholar
[
Qadir, J. (2022). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.21789434.v1
]Search in Google Scholar
[
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of Applied Learning and Teaching, 6(1), 1-22.
]Search in Google Scholar
[
Scherer, R., & Teo, T. (2019). Unpacking teachers’ intentions to integrate technology: A meta-analysis. Educational Research Review, 27, 90–109. https://doi.org/10.1016/j.edurev.2019.03.001
]Search in Google Scholar
[
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13-35.
]Search in Google Scholar
[
Shin, J.H. and Lee, J.W., 2021. Athlete brand image influence on the behavioral intentions of Generation Z. Social Behavior and Personality: An International Journal, 49(2), 1-13.
]Search in Google Scholar
[
Siddique, M., Hamayun, M., & Khan, M. A. (2022). Effect of Covid-19 on the Mental Health of Students in Pakistan: The Online Education Pressure, Fear of Failing and Psychological Distress. Gomal University Journal of Research, 38(2), 180-192.
]Search in Google Scholar
[
Siyam, N. (2019). Factors impacting special education teachers’ acceptance and actual use of technology. Education and Information Technologies, 24(3), 2035-2057. https://doi.org/10.1007/s10639-018-09859-y
]Search in Google Scholar
[
Smith, K.T., 2012. Longitudinal study of digital marketing strategies targeting millennials. Journal of Consumer Marketing, 29(2), 86-92.
]Search in Google Scholar
[
Tack, A., & Piech, C. (2022). The AI teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialogues. arXiv preprint arXiv:2205.07540. https://doi.org/10.48550/arXiv.2205.07540
]Search in Google Scholar
[
Tagoe, M. (2012). Students’ perceptions on incorporating e-learning into teaching and learning at the University of Ghana. International Journal of Education and Development Using ICT, 8(1), 91-103.
]Search in Google Scholar
[
Thomas, G. (2011). How to do your case study: A guide for students and researchers. Thousand Oaks, CA: Sage.
]Search in Google Scholar
[
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 1-24.
]Search in Google Scholar
[
University of Cape Coast. (2023). History. Avaiable at https://www.ucc.edu.gh/main/about/history#:~:text=On%20October%201%2C%201971%2C%20the,1992%20%5BPNDC% 20Law%20278%5D.
]Search in Google Scholar
[
Wang, S., Scells, H., Koopman, B., & Zuccon, G. (2023). Can chatGPT write a good boolean query for systematic review literature search? arXiv preprint arXiv:2302.03495. https://doi.org/10.48550/arXiv.2302.03495
]Search in Google Scholar
[
Williams, O. A., Osei-Poku, P., & Adiyaa, O. (2022). Determining the pre-service teachers and tutors of colleges of education usage of technology in teaching and learning. Indiana Journal of Humanities and Social Sciences, 3(11), 20-29.
]Search in Google Scholar
[
Yeo-Teh, N. S. L., & Tang, B. L. (2023). Letter to Editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria. Accountability in Research, (just-accepted). https://doi.org/10.1080/08989621.2023.2177160
]Search in Google Scholar
[
Zakaria, N., & Khalid, F. (2016). The benefits and constraints of the use of Information and Communication Technology (ICT) in teaching mathematics. Creative Education, 7(11), 1537-1544. https://doi.org/10.4236/ce.2016.711158
]Search in Google Scholar
[
Zhai, X. (2022). ChatGPT user experience: Implications for education. https://www.researchgate.net/profile/Xiaoming-Zhai/publication/366463233_ChatGPT_User_Experience_Implications_for_Education/links/63a2817aca6a9d254f8de010/ChatGPT-User-Experience-Implications-for-Education.pdf
]Search in Google Scholar
[
Zhang, Y., Wen, Y. and Hou, M., 2021. The effect of attribute alignability on product purchase: The moderating role of product familiarity and self-construal. Frontiers in Psychology, 12, 1-12.
]Search in Google Scholar
