How to cite this paper
Ayoubi, K. (2024). Adopting ChatGPT: Pioneering a new era in learning platforms.International Journal of Data and Network Science, 8(2), 1341-1348.
Refrences
Aburayya, A., Salloum, S., Alderbashi, K., Shwedeh, F., Shaalan, Y., Alfaisal, R., Malaka, S., & Shaalan, K. (2023). SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE. International Journal of Data and Network Science, 7(2), 667–676.
Al-Azawei, A., & Lundqvist, K. (2015). Learner differences in perceived satisfaction of an online learning: An extension to the technology acceptance model in an Arabic sample. Electronic Journal of E-Learning, 13(5), 412-430.
Al-Maroof, R. S., Akour, I., Aljanada, R., Alfaisal, A. M., Alfaisal, R. M., Aburayya, A., & Salloum, S. A. (2021). Acceptance determinants of 5G services. International Journal of Data and Network Science, 5(4), 613–628.
Alfaisal, R., Alhumaid, K., Alnazzawi, N., Abou Samra, R., Salloum, S., Shaalan, K., & Monem, A. A. (n.d.). Predicting The Intention To Use Google Glass In The Educational Projects: A Hybrid Sem-Ml Approach.
Alhumaid, K., Alfaisal, R., Alnazzawi, N., Alfaisal, A., Alhumaidhi, N. N., Alamarin, M., & Salloum, S. A. (2022). Predicting the Intention to Use Audi and Video Teaching Styles: An Empirical Study with PLS-SEM and Machine Learning Models. International Conference on Advanced Machine Learning Technologies and Applications, 250–264.
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Al-Otaibi, S., Shishakly, R., Lutfi, A., Alrawad, M., Mulhem, A. A., Awad, A. B., & Al-Maroof, R. S. (2022). Integrating Teachers’ TPACK Levels and Students’ Learning Motivation, Technology Innovativeness, and Optimism in an IoT Acceptance Model. Electronics 2022, 11, 3197. s Note: MDPI stays neu-tral with regard to jurisdictional claims in ….
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148.
Alshamsi, A., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). The Influence of Service Quality on Customer Retention: A Systematic Review in the Higher Education. International Conference on Advanced Intelligent Systems and Informatics, 404–416.
Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (pls) Approach to Casual Modeling: Personal Computer Adoption Ans Use as an Illustration.
bin Abdullah, A. S. (2021). Leadership, Task Load And Job Satisfaction: A Review Of Special Education Teachers Perspective. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 5300–5306.
Biswas, S. S. (2023). Role of chat gpt in public health. Annals of Biomedical Engineering, 1–2.
Blau, I., Shamir-Inbal, T., & Avdiel, O. (2020). How does the pedagogical design of a technology-enhanced collaborative academic course promote digital literacies, self-regulation, and perceived learning of students? The Internet and Higher Education, 45, 100722.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have adavantages for small sample size or non-normal data? MIS Quaterly.
Gunasinghe, A., Hamid, J. A., Khatibi, A., & Azam, S. M. F. (2020). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106.
Habes, M., Elareshi, M., Salloum, S. A., Ali, S., Alfaisal, R., Ziani, A., & Alsridi, H. (2022). Students’ perceptions of mobile learning technology acceptance during Covid-19: WhatsApp in focus. Educational Media International, 0(0), 1–19. https://doi.org/10.1080/09523987.2022.2153990
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605.
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
McGee, R. W. (2023). Annie Chan: Three Short Stories Written with Chat GPT. Available at SSRN 4359403.
Navarro, M. M., Prasetyo, Y. T., Young, M. N., Nadlifatin, R., & Redi, A. A. N. P. (2021). The perceived satisfaction in utilizing learning management system among engineering students during the COVID-19 pandemic: Integrating task technology fit and extended technology acceptance model. Sustainability, 13(19), 10669.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill, New York. https://doi.org/10.1037/018882
Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Salloum, S. A., AlAhbabi, N. M. N., Habes, M., Aburayya, A., & Akour, I. (2021). Predicting the Intention to Use Social Media Sites: A Hybrid SEM-Machine Learning Approach. Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021, 324–334.
Salloum, S. A., Maqableh, W., Mhamdi, C., Al Kurdi, B., & Shaalan, K. (2018). Studying the Social Media Adoption by university students in the United Arab Emirates. International Journal of Information Technology and Language Studies, 2(3), 83–95.
Salloum, S. A., & Shaalan, K. (2018). Adoption of E-Book for University Students. International Conference on Advanced Intelligent Systems and Informatics, 481–494.
San‐Martin, S., & López‐Catalán, B. (2013). How can a mobile vendor get satisfied customers? Industrial Management & Data Systems.
Seth, I., Rodwell, A., Tso, R., Valles, J., Bulloch, G., & Seth, N. (2023). A Conversation with an Open Artificial Intelligence Platform on Osteoarthritis of the Hip and Treatment. Journal of Orthopedics and Sports Medicine, 5, 112–120.
Surameery, N. M. S., & Shakor, M. Y. (2023). Use chat gpt to solve programming bugs. International Journal of Information Technology & Computer Engineering (IJITC) ISSN: 2455-5290, 3(01), 17–22.
Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713–737.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40. https://doi.org/10.1037/0021-9010.90.4.710
Al-Azawei, A., & Lundqvist, K. (2015). Learner differences in perceived satisfaction of an online learning: An extension to the technology acceptance model in an Arabic sample. Electronic Journal of E-Learning, 13(5), 412-430.
Al-Maroof, R. S., Akour, I., Aljanada, R., Alfaisal, A. M., Alfaisal, R. M., Aburayya, A., & Salloum, S. A. (2021). Acceptance determinants of 5G services. International Journal of Data and Network Science, 5(4), 613–628.
Alfaisal, R., Alhumaid, K., Alnazzawi, N., Abou Samra, R., Salloum, S., Shaalan, K., & Monem, A. A. (n.d.). Predicting The Intention To Use Google Glass In The Educational Projects: A Hybrid Sem-Ml Approach.
Alhumaid, K., Alfaisal, R., Alnazzawi, N., Alfaisal, A., Alhumaidhi, N. N., Alamarin, M., & Salloum, S. A. (2022). Predicting the Intention to Use Audi and Video Teaching Styles: An Empirical Study with PLS-SEM and Machine Learning Models. International Conference on Advanced Machine Learning Technologies and Applications, 250–264.
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Al-Otaibi, S., Shishakly, R., Lutfi, A., Alrawad, M., Mulhem, A. A., Awad, A. B., & Al-Maroof, R. S. (2022). Integrating Teachers’ TPACK Levels and Students’ Learning Motivation, Technology Innovativeness, and Optimism in an IoT Acceptance Model. Electronics 2022, 11, 3197. s Note: MDPI stays neu-tral with regard to jurisdictional claims in ….
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148.
Alshamsi, A., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). The Influence of Service Quality on Customer Retention: A Systematic Review in the Higher Education. International Conference on Advanced Intelligent Systems and Informatics, 404–416.
Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (pls) Approach to Casual Modeling: Personal Computer Adoption Ans Use as an Illustration.
bin Abdullah, A. S. (2021). Leadership, Task Load And Job Satisfaction: A Review Of Special Education Teachers Perspective. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 5300–5306.
Biswas, S. S. (2023). Role of chat gpt in public health. Annals of Biomedical Engineering, 1–2.
Blau, I., Shamir-Inbal, T., & Avdiel, O. (2020). How does the pedagogical design of a technology-enhanced collaborative academic course promote digital literacies, self-regulation, and perceived learning of students? The Internet and Higher Education, 45, 100722.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have adavantages for small sample size or non-normal data? MIS Quaterly.
Gunasinghe, A., Hamid, J. A., Khatibi, A., & Azam, S. M. F. (2020). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106.
Habes, M., Elareshi, M., Salloum, S. A., Ali, S., Alfaisal, R., Ziani, A., & Alsridi, H. (2022). Students’ perceptions of mobile learning technology acceptance during Covid-19: WhatsApp in focus. Educational Media International, 0(0), 1–19. https://doi.org/10.1080/09523987.2022.2153990
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605.
Krejcie, R. V, & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
McGee, R. W. (2023). Annie Chan: Three Short Stories Written with Chat GPT. Available at SSRN 4359403.
Navarro, M. M., Prasetyo, Y. T., Young, M. N., Nadlifatin, R., & Redi, A. A. N. P. (2021). The perceived satisfaction in utilizing learning management system among engineering students during the COVID-19 pandemic: Integrating task technology fit and extended technology acceptance model. Sustainability, 13(19), 10669.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill, New York. https://doi.org/10.1037/018882
Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bönningstedt: SmartPLS.
Salloum, S. A., AlAhbabi, N. M. N., Habes, M., Aburayya, A., & Akour, I. (2021). Predicting the Intention to Use Social Media Sites: A Hybrid SEM-Machine Learning Approach. Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021, 324–334.
Salloum, S. A., Maqableh, W., Mhamdi, C., Al Kurdi, B., & Shaalan, K. (2018). Studying the Social Media Adoption by university students in the United Arab Emirates. International Journal of Information Technology and Language Studies, 2(3), 83–95.
Salloum, S. A., & Shaalan, K. (2018). Adoption of E-Book for University Students. International Conference on Advanced Intelligent Systems and Informatics, 481–494.
San‐Martin, S., & López‐Catalán, B. (2013). How can a mobile vendor get satisfied customers? Industrial Management & Data Systems.
Seth, I., Rodwell, A., Tso, R., Valles, J., Bulloch, G., & Seth, N. (2023). A Conversation with an Open Artificial Intelligence Platform on Osteoarthritis of the Hip and Treatment. Journal of Orthopedics and Sports Medicine, 5, 112–120.
Surameery, N. M. S., & Shakor, M. Y. (2023). Use chat gpt to solve programming bugs. International Journal of Information Technology & Computer Engineering (IJITC) ISSN: 2455-5290, 3(01), 17–22.
Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713–737.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40. https://doi.org/10.1037/0021-9010.90.4.710