The Changing Educational Landscape for Sustainable Online Experiences: Implications of ChatGPT in Arab Students’ Learning Experience

Authors

  • Mohammed Almulla
  • Sayed Ibrahim Ali

Keywords:

artificial intelligence; ChatGPT; education; higher education; student learning

Abstract

The integration of artificial intelligence (AI) into education is rapidly transforming traditional paradigms of teaching and learning. ChatGPT, an advanced AI system capable of sophisticated language generation, represents a potentially disruptive innovation in this sphere. This study employed a descriptive cross-sectional design using a cross-sectional approach to examine ChatGPT’s emerging role in reshaping students’ learning experiences within higher education. A survey of 473 undergraduate students at King Faisal University, Saudi Arabia assessed ChatGPT’s usage patterns, effectiveness, and implications across diverse learning domains. Data were collected through a structured online survey distributed over a month and analyzed using quantitative measures (i.e., SPSS). Sixty precent (60%) of the students reported using ChatGPT for homework assistance, with 27.7% doing so weekly. Additionally, 45.5% utilized it for research, 35.5% for exam preparation, and approximately 30% for language learning and content discussions. Over 60% of the students recognized moderate to significant positive impacts of ChatGPT on their academic performance, research skills, and technical competencies. However, 38.7% reported no discernible effects on critical thinking. Factor analysis identified engagement as a key pathway for ChatGPT to enrich learning, with usage strongly linked to participation and motivation. Regression analysis determined usage frequency, satisfaction, and perceived usefulness as significant predictors of ChatGPT’s academic effectiveness, evidenced by beta coefficients of 0.21 for usage frequency and 0.25 for satisfaction. The findings showcase ChatGPT’s promising versatility as an AI-powered educational tool, while emphasizing the need for ethical frameworks, balanced expectations, and holistic adoption strategies to maximize benefits and minimize risks. Further research into pedagogical integration capabilities and evolving impacts will be critical as advanced AI becomes increasingly pervasive throughout education.

https://doi.org/10.26803/ijlter.23.9.15

References

Abdulrahaman, M. D., Faruk, N., Oloyede, A. A., Surajudeen-Bakinde, N. T., Olawoyin, L. A., Mejabi, O. V., Imam-Fulani, Y. O., Fahm, A. O., & Azeez, A. L. (2020). Multimedia tools in the teaching and learning processes: A systematic review. Heliyon, 6(11), e05312. https://doi.org/10.1016/j.heliyon.2020.e05312

Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152

Al-Ansi, A. M., Jaboob, M., Garad, A., & Al-Ansi, A. (2023). Analyzing augmented reality (AR) and virtual reality (VR) recent development in education. Social Sciences & Humanities Open, 8(1), Article 100532. https://doi.org/10.1016/j.ssaho.2023.100532

Al-Jubouri, M. B., Al-Fayyadh, S., Jaafar, S. A., Alabdulaziz, H., Nashwan, A. J., Jahlan, I. O., & Shaban, M. (2021). Incivility among Arabic-speaking nursing faculty: Testing the psychometric properties of the Arabic version of incivility in nursing education-revised. International Journal of Nursing Education Scholarship, 18(1). https://doi.org/10.1515/ijnes-2021-0020

Almusaed, A., Almssad, A., Yitmen, I., & Homod, R. Z. (2023). Enhancing student engagement: Harnessing “AIED”’s power in hybrid education—A review analysis. Education Sciences, 13(7), Article 632. https://doi.org/10.3390/educsci13070632

Betz, U. A. K., Arora, L., Assal, R. A., Azevedo, H., Baldwin, J., Becker, M. S., Bostock, S., Cheng, V., Egle, T., Ferrari, N., Schneider-Futschik, E. K., Gerhardy, S., Hammes, A., Harzheim, A., Herget, T., Jauset, C., Kretschmer, S., Lammie, C., Kloss, N., … Zhao, G. (2023). Game changers in science and technology: Now and beyond. Technological Forecasting and Social Change, 193, Article 122588. https://doi.org/10.1016/j.techfore.2023.122588

Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, 3, Article 100068. https://doi.org/10.1016/j.caeai.2022.100068

Booth, R. G., Strudwick, G., McBride, S., O’Connor, S., & Solano López, A. L. (2021). How the nursing profession should adapt for a digital future. BMJ, 373, n1190. https://doi.org/10.1136/bmj.n1190

Box, C. (2019). Formative assessment in United States classrooms: Changing the landscape of teaching and learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-03092-6

Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., Dey, P. K., Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., … Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606–659. https://doi.org/10.1111/1748-8583.12524

Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, Article 100002. https://doi.org/10.1016/j.caeai.2020.100002

Choi, W. (2023). Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: A study using MCQs. BMC Medical Education, 23(1), Article 864. https://doi.org/10.1186/s12909-023-04832-x

Dempere, J., Modugu, K., Hesham, A., & Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1206936

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Eldardery, N. E.-S., Ebied, E. M. E.-S., Mohammed, Y., Khodary, K., Mohammed, B., Mohammed, S., Mohammed, K., Kamal, A., & Shaban, M. (2023). Exploring internship nursing students’ perception of gerontological nursing competencies: A descriptive study at Cairo university hospitals. Journal of Integrative Nursing, 5(4), 235–242. https://doi.org/10.4103/jin.jin_91_23

Essel, H. B., Vlachopoulos, D., Essuman, A. B., & Amankwa, J. O. (2024). ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs). Computers and Education: Artificial Intelligence, 6, Article 100198. https://doi.org/10.1016/j.caeai.2023.100198

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), Article 57. https://doi.org/10.1186/s41239-022-00362-6

European Commission: Joint Research Centre, Tuomi, I., Punie, Y., Vuorikari, R., & Cabrera, M. (2018). The impact of artificial intelligence on learning, teaching, and education policies. Publications Office. https://doi.org/10.2760/12297

Ghamrawi, N., Shal, T., & Ghamrawi, N. A. R. (2023). Exploring the impact of AI on teacher leadership: Regressing or expanding? Education and Information Technologies, 29, 8415–8433. https://doi.org/10.1007/s10639-023-12174-w

Gill, S. S., Xu, M., Patros, P., Wu, H., Kaur, R., Kaur, K., Fuller, S., Singh, M., Arora, P., Parlikad, A. K., Stankovski, V., Abraham, A., Ghosh, S. K., Lutfiyya, H., Kanhere, S. S., Bahsoon, R., Rana, O., Dustdar, S., Sakellariou, R., … Buyya, R. (2024). Transformative effects of ChatGPT on modern education: Emerging era of AI chatbots. Internet of Things and Cyber-Physical Systems, 4, 19–23. https://doi.org/10.1016/j.iotcps.2023.06.002

Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), Article 692. https://doi.org/10.3390/educsci13070692

Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., Kwon, Y. D., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P. (2024). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), Article 100027. https://doi.org/10.1016/j.chbah.2023.100027

Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1–32. https://doi.org/10.1007/s40692-020-00169-2

Hasan, M. A., Noor, N. F. M., Rahman, S. S. B. A., & Rahman, M. M. (2020). The transition from intelligent to affective tutoring system: A review and open issues. IEEE Access, 8, 204612–204638. https://doi.org/10.1109/ACCESS.2020.3036990

Hasanein, A. M., & Sobaih, A. E. E. (2023). Drivers and consequences of ChatGPT use in higher education: Key stakeholder perspectives. European Journal of Investigation in Health, Psychology and Education, 13(11), 2599–2614. https://doi.org/10.3390/ejihpe13110181

Hu, X., Liu, Y., Huang, J., & Mu, S. (2022). The effects of different patterns of group collaborative learning on Fourth-Grade students’ creative thinking in a digital artificial intelligence course. Sustainability, 14(19), Article 12674. https://doi.org/10.3390/su141912674

Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3). https://doi.org/10.29322/IJSRP.13.03.2023.p13536

Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), Article 100115. https://doi.org/10.1016/j.tbench.2023.100115

Jiang, M. (2023). The impact and potential of educational technology: A comprehensive review. Research and Advances in Education, 2(7), 32–49. https://doi.org/10.56397/rae.2023.07.05

Jo, H., & Bang, Y. (2023). Analyzing ChatGPT adoption drivers with the TOEK framework. Scientific Reports, 13(1), Article 22606.

https://doi.org/10.1038/s41598-023-49710-0

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), Article 12451. https://doi.org/10.3390/su151612451

Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y.-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gaševi?, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, Article 100074. https://doi.org/10.1016/j.caeai.2022.100074

Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student–AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104. https://doi.org/10.1007/s10639-021-10831-6

Lee, J. O., Hill, K. G., & Hawkins, J. D. (2012). The role of educational aspirations and expectations in the discontinuity of intergenerational low-income status. Social Work Research, 36(2), 141–151. https://doi.org/10.1093/swr/svs025

Liu, G., & Ma, C. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 18(2), 125–138. https://doi.org/10.1080/17501229.2023.2240316

Liu, M., Ren, Y., Nyagoga, L. M., Stonier, F., Wu, Z., & Yu, L. (2023). Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools. Future in Educational Research, 1(1), 72–101. https://doi.org/10.1002/fer3.10

Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring artificial intelligence in academic essay: Higher education student’s perspective. International Journal of Educational Research Open, 5, Article 100296. https://doi.org/10.1016/j.ijedro.2023.100296

Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4354422

Mhlongo, S., Mbatha, K., Ramatsetse, B., & Dlamini, R. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon, 9(6), e16348. https://doi.org/10.1016/j.heliyon.2023.e16348

Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), Article 103434. https://doi.org/10.1016/j.im.2021.103434

Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12(8), Article 153. https://doi.org/10.3390/computers12080153

Najjar, R. (2023). Redefining radiology: A review of artificial intelligence integration in medical imaging. Diagnostics, 13(17), Article 2760. https://doi.org/10.3390/diagnostics13172760

Natarajan, M., & Gombolay, M. (2020). Effects of anthropomorphism and accountability on trust in human robot interaction [Conference session]. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 33–42). https://doi.org/10.1145/3319502.3374839

Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–161. https://doi.org/10.1007/s11423-023-10203-6

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

Nuryakin, N., Rakotoarizaka, N. L. P., & Musa, H. G. (2023). The effect of perceived usefulness and perceived easy to use on student satisfaction the mediating role of attitude to use online learning. Asia Pacific Management and Business Application, 011(03), 323–336. https://doi.org/10.21776/ub.apmba.2023.011.03.5

Patero, J. L. (2023). Revolutionizing math education: Harnessing ChatGPT for student success. International Journal of Advanced Research in Science, Communication and Technology, 3(1), 807–813. https://doi.org/10.48175/IJARSCT-12375

Qiao, H., & Zhao, A. (2023). Artificial intelligence-based language learning: Illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1255594

Qin, M., Li, S., Zhu, W., & Qiu, S. (2023). Trust in service robot: The role of appearance anthropomorphism. Current Issues in Tourism, 1–19. https://doi.org/10.1080/13683500.2023.2295923

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, Article 103778. https://doi.org/10.1016/j.compedu.2019.103778

Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003

Rebolledo Font de la Vall, R., & González Araya, F. (2023). Exploring the benefits and challenges of AI-language learning tools. International Journal of Social Sciences and Humanities Invention, 10(01), 7569–7576. https://doi.org/10.18535/ijsshi/v10i01.02

Rejeb, A., Rejeb, K., Appolloni, A., Treiblmaier, H., & Iranmanesh, M. (2024). Exploring the impact of ChatGPT on education: A web mining and machine learning approach. The International Journal of Management Education, 22(1), Article 100932. https://doi.org/10.1016/j.ijme.2024.100932

Rizvi, M. (2023). Investigating AI-powered tutoring systems that adapt to individual student needs, providing personalized guidance and assessments. The Eurasia Proceedings of Educational and Social Sciences, 31, 67–73. https://doi.org/10.55549/epess.1381518

Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), Article 54. https://doi.org/10.1186/s41239-021-00292-9

Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: Assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1260843

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28(6), 6695–6726. https://doi.org/10.1007/s10639-022-11431-8

Tran, T. N., & Tran, H. P. (2023). Exploring the role of ChatGPT in developing critical digital literacies in language learning: A qualitative study. Proceedings of the AsiaCALL International Conference, 4, 1–17. https://doi.org/10.54855/paic.2341

Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1261955

Wieser, M., Schöffmann, K., Stefanics, D., Bollin, A., & Pasterk, S. (2023). Investigating the role of ChatGPT in supporting text-based programming education for students and teachers. In J. P. Pellet, & G. Parriaux (Eds.), Informatics in schools. Beyond bits and bytes: Nurturing informatics intelligence in education (pp. 40–53). Springer. https://doi.org/10.1007/978-3-031-44900-0_4

Xiao, Y., & Zhi, Y. (2023). An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experience and perceptions. Languages, 8(3), Article 212. https://doi.org/10.3390/languages8030212

Yildirim-Erbasli, S. N., & Bulut, O. (2023). Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment. Computers and Education: Artificial Intelligence, 4, Article 100135. https://doi.org/10.1016/j.caeai.2023.100135

Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023). Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning. Computers in Human Behavior: Artificial Humans, 1(2), Article 100005. https://doi.org/10.1016/j.chbah.2023.100005

Yin, J., Goh, T.-T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154–177. https://doi.org/10.1177/0735633120952067

Yu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers’ roles. Heliyon, 10(2), e24289. https://doi.org/10.1016/j.heliyon.2024.e24289

Zhang, X., Chen, Y., Hu, L., & Wang, Y. (2022). The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1016300

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2024-09-30