Transforming Education with ChatGPT: Advancing Personalized Learning, Accessibility, and Ethical AI Integration

Muhammad Asy'ari; Sergii Sharov

doi:10.36312/ijece.v3i2.2424

Authors

Muhammad Asy'ari Universitas Pendidikan Mandalika https://orcid.org/0000-0002-3149-3296
Sergii Sharov Tavria State Agrotechnological University https://orcid.org/0000-0001-5732-9980

DOI:

https://doi.org/10.36312/ijece.v3i2.2424

Keywords:

ChatGPT, AI in education, personalized learning, educational technology, curriculum development, AI ethics, inclusive learning

Abstract

The integration of artificial intelligence (AI) in education, exemplified by tools like ChatGPT, represents a transformative shift in teaching and learning methodologies. This study explores ChatGPT’s role in advancing personalized learning, empowering educators, and enhancing accessibility within educational ecosystems. Using a systematic literature review supported by bibliometric analysis, the paper identifies key trends and insights into AI-driven educational technologies. Findings demonstrate ChatGPT's capacity to personalize instruction by generating adaptive content, delivering real-time feedback, and facilitating curriculum development. It also alleviates educators' workloads through automated grading, lesson planning, and administrative support. However, challenges such as ethical concerns regarding data privacy, inherent AI biases, and potential over-reliance on automation hinder its widespread adoption. The study emphasizes the necessity of ethical guidelines, transparency, and balanced AI integration to mitigate these risks. In conclusion, ChatGPT holds substantial potential for improving educational outcomes by fostering inclusive, adaptive, and efficient learning environments. Future efforts should focus on refining AI technologies to reduce biases, uphold data privacy, and equip educators with the skills needed to effectively integrate AI into pedagogical practices. Responsible and ethical implementation will be key to unlocking ChatGPT's full potential in education.

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Author Biography

Muhammad Asy'ari, Universitas Pendidikan Mandalika

Scopus ID: 55872560900

References

Abdulai, A., & Hung, L. (2023). Will ChatGPT undermine ethical values in nursing education, research, and practice? Nursing Inquiry, 30(3), e12556. https://doi.org/10.1111/nin.12556

Abidin, Z., Mathrani, A., & Hunter, R. (2018). Gender-related differences in the use of technology in mathematics classrooms: Student participation, learning strategies and attitudes. The International Journal of Information and Learning Technology, 35(4), 266–284. https://doi.org/10.1108/IJILT-11-2017-0109

Ahuja, A. S., Polascik, B. W., Doddapaneni, D., Byrnes, E. S., & Sridhar, J. (2023). The digital metaverse: Applications in artificial intelligence, medical education, and integrative health. Integrative Medicine Research, 12(1), 100917. https://doi.org/10.1016/j.imr.2022.100917

Aithal, P. S., & Aithal, S. (2023). Application of ChatGPT in Higher Education and Research – A Futuristic Analysis. International Journal of Applied Engineering and Management Letters, 168–194. https://doi.org/10.47992/IJAEML.2581.7000.0193

Alaidi, A. H., Yahya, O., & Alrikabi, H. TH. S. (2020). Using Modern Education Technique in Wasit University. International Journal of Interactive Mobile Technologies (iJIM), 14(06), 82. https://doi.org/10.3991/ijim.v14i06.11539

Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in Education and Research: Opportunities, Concerns, and Solutions. Journal of Chemical Education, 100(8), 2965–2971. https://doi.org/10.1021/acs.jchemed.3c00323

Albarrak, A. I., Aboalsamh, H. A., & Abouzahra, M. (2010). Evaluating learning management systems for University medical education. 2010 International Conference on Education and Management Technology, 672–677. https://doi.org/10.1109/ICEMT.2010.5657569

Alhammad, A. I. (2024). The Impact of ChatGPT in Developing Saudi EFL Learners’ Literature Appreciation. World Journal of English Language, 14(2), 331. https://doi.org/10.5430/wjel.v14n2p331

Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. Q. (2023). Impact of ChatGPT on Learning Motivation: Teachers and Students’ Voices. Journal of English Studies in Arabia Felix, 2(1), 41–49. https://doi.org/10.56540/jesaf.v2i1.51

Alkhaqani, A. L. (2023). ChatGPT and Nursing Education: Challenges and Opportunities. Al-Rafidain Journal of Medical Sciences, 4, 50–51. https://doi.org/10.54133/ajms.v4i.110

Alm, C. O., & Hedges, A. (2021). Visualizing NLP in Undergraduate Students’ Learning about Natural Language. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15480–15488. https://doi.org/10.1609/aaai.v35i17.17822

Antaki, F., Touma, S., Milad, D., El-Khoury, J., & Duval, R. (2023). Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings. https://doi.org/10.1101/2023.01.22.23284882

Araújo, J. L., & Saúde, I. (2024). Can ChatGPT Enhance Chemistry Laboratory Teaching? Using Prompt Engineering to Enable AI in Generating Laboratory Activities. Journal of Chemical Education, 101(5), 1858–1864. https://doi.org/10.1021/acs.jchemed.3c00745

Bai, L., Liu, X., & Su, J. (2023). ChatGPT: The cognitive effects on learning and memory. Brain-X, 1(3), e30. https://doi.org/10.1002/brx2.30

Baker, B., Mills, K. A., McDonald, P., & Wang, L. (2023). AI, Concepts of Intelligence, and Chatbots: The “Figure of Man,” the Rise of Emotion, and Future Visions of Education. Teachers College Record: The Voice of Scholarship in Education, 125(6), 60–84. https://doi.org/10.1177/01614681231191291

Bender, E. M., & Koller, A. (2020). Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 5185–5198. https://doi.org/10.18653/v1/2020.acl-main.463

Benton, L., Kalas, I., Saunders, P., Hoyles, C., & Noss, R. (2018). Beyond jam sandwiches and cups of tea: An exploration of primary pupils’ algorithm?evaluation strategies. Journal of Computer Assisted Learning, 34(5), 590–601. https://doi.org/10.1111/jcal.12266

Bitzenbauer, P. (2023). ChatGPT in physics education: A pilot study on easy-to-implement activities. Contemporary Educational Technology, 15(3), ep430. https://doi.org/10.30935/cedtech/13176

Bonang, D., Fitriyah, A. T., & Nasution, D. S. (2022). Perception of Muslim Students on Learning Management System. Indonesian Journal of Islamic Education Studies (IJIES), 5(1), 1–18. https://doi.org/10.33367/ijies.v5i1.2384

Boscardin, C. K., Gin, B., Golde, P. B., & Hauer, K. E. (2024). ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity. Academic Medicine, 99(1), 22–27. https://doi.org/10.1097/ACM.0000000000005439

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language Models are Few-Shot Learners. https://doi.org/10.48550/ARXIV.2005.14165

Bulathwela, S., Pérez-Ortiz, M., Holloway, C., & Shawe-Taylor, J. (2021). Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution. https://doi.org/10.48550/ARXIV.2112.02034

Caccavale, F., Gargalo, C. L., Gernaey, K. V., & Krühne, U. (2024). Towards Education 4.0: The role of Large Language Models as virtual tutors in chemical engineering. Education for Chemical Engineers, 49, 1–11. https://doi.org/10.1016/j.ece.2024.07.002

Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (2023). Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. U.S. Department of Education.

Chaika, O. (2023). The role of AI in higher education. ?????? ? ?????, 6/214, Article 6/214. https://doi.org/10.24919/2308-4634.2023.287898

Chanjaradwichai, S., Na-Songkhla, J., & Chiasiriphan, T. (2019). A Trackable Augmented Learning Media System for a Higher Education Level. International Journal of Emerging Technologies in Learning (iJET), 14(13), 129. https://doi.org/10.3991/ijet.v14i13.10177

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Clark, O. E., Rivelli, A., Mroczkowski, A. L., Espino, S. R., Kelly, E. H., & Zebracki, K. (2023). Problem Solving and Collaborative Involvement Among Adolescents With Spinal Cord Injury and Their Caregivers. Frontiers in Rehabilitation Sciences, 4. https://doi.org/10.3389/fresc.2023.1100707

Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3), 444–452. https://doi.org/10.1007/s10956-023-10039-y

Dowell, N. M., Windsor, L. C., & Graesser, A. C. (2016). Computational linguistics analysis of leaders during crises in authoritarian regimes. Dynamics of Asymmetric Conflict, 9(1–3), 1–12. https://doi.org/10.1080/17467586.2015.1038286

Elbanna, S., & Armstrong, L. (2024). Exploring the integration of ChatGPT in education: Adapting for the future. Management & Sustainability: An Arab Review, 3(1), 16–29. https://doi.org/10.1108/MSAR-03-2023-0016

Exintaris, B., Karunaratne, N., & Yuriev, E. (2023). Metacognition and Critical Thinking: Using ChatGPT-Generated Responses as Prompts for Critique in a Problem-Solving Workshop (SMARTCHEMPer). Journal of Chemical Education, 100(8), 2972–2980. https://doi.org/10.1021/acs.jchemed.3c00481

Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1

Forman, N., Udvaros, J., & Avornicului, M. S. (2023). ChatGPT: A new study tool shaping the future for high school students. International Journal of Advanced Natural Sciences and Engineering Researches, 7(4), 95–102. https://doi.org/10.59287/ijanser.562

Fütterer, T., Fischer, C., Alekseeva, A., Chen, X., Tate, T., Warschauer, M., & Gerjets, P. (2023). ChatGPT in Education: Global Reactions to AI Innovations [Preprint]. In Review. https://doi.org/10.21203/rs.3.rs-2840105/v1

Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers [Preprint]. Scientific Communication and Education. https://doi.org/10.1101/2022.12.23.521610

Gentile, M., Città, G., Perna, S., & Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher’s role in the AI era. Frontiers in Education, 8, 1–14. https://doi.org/10.3389/feduc.2023.1161777

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 (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education, 9, e45312. https://doi.org/10.2196/45312

Grunhut, J., Marques, O., & Wyatt, A. T. M. (2022). Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum. JMIR Medical Education, 8(2), e35587. https://doi.org/10.2196/35587

Guha, A., Grewal, D., & Atlas, S. (2024). Generative AI and Marketing Education: What the Future Holds. Journal of Marketing Education, 46(1), 6–17. https://doi.org/10.1177/02734753231215436

Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., 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), 100027. https://doi.org/10.1016/j.chbah.2023.100027

Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421. https://doi.org/10.30935/cedtech/13036

Han, Z., Battaglia, F., Udaiyar, A., Fooks, A., & Terlecky, S. R. (2024). An explorative assessment of ChatGPT as an aid in medical education: Use it with caution. Medical Teacher, 46(5), 657–664. https://doi.org/10.1080/0142159X.2023.2271159

Harrison, C. J., Könings, K. D., Dannefer, E. F., Schuwirth, L. W. T., Wass, V., & Van Der Vleuten, C. P. M. (2016). Factors influencing students’ receptivity to formative feedback emerging from different assessment cultures. Perspectives on Medical Education, 5(5), 276–284. https://doi.org/10.1007/S40037-016-0297-X

Harry, A. (2023). Role of AI in Education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268. https://doi.org/10.58631/injurity.v2i3.52

Haseski, H. I. (2019). What Do Turkish Pre-Service Teachers Think About Artificial Intelligence? International Journal of Computer Science Education in Schools, 3(2), 3–23. https://doi.org/10.21585/ijcses.v3i2.55

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1

Huang, J., Saleh, S., & Liu, Y. (2021). A Review on Artificial Intelligence in Education. Academic Journal of Interdisciplinary Studies, 10(3), 206. https://doi.org/10.36941/ajis-2021-0077

Hutchison, K., Paatsch, L., & Cloonan, A. (2020). Reshaping home–school connections in the digital age: Challenges for teachers and parents. E-Learning and Digital Media, 17(2), 167–182. https://doi.org/10.1177/2042753019899527

Hutson, J., Huffman, P., & Ratican, J. (2024). Digital resurrection of historical figures: A case study on Mary Sibley through customized ChatGPT. Metaverse, 4(2). https://doi.org/10.54517/m.v4i2.2424

Jalil, S., Rafi, S., LaToza, T. D., Moran, K., & Lam, W. (2023). ChatGPT and Software Testing Education: Promises & Perils. https://doi.org/10.48550/ARXIV.2302.03287

Ji, M., Michel, C., Lavoué, É., & George, S. (2014). DDART, a Dynamic Dashboard for Collection, Analysis and Visualization of Activity and Reporting Traces. In C. Rensing, S. De Freitas, T. Ley, & P. J. Muñoz-Merino (Eds.), Open Learning and Teaching in Educational Communities (Vol. 8719, pp. 440–445). Springer International Publishing. https://doi.org/10.1007/978-3-319-11200-8_39

Kara, M., Erdo?du, F., Kokoç, M., & Cagiltay, K. (2019). Challenges Faced by Adult Learners in Online Distance Education: A Literature Review. Open Praxis, 11(1), 5. https://doi.org/10.5944/openpraxis.11.1.929

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kastrati, Z., Dalipi, F., Imran, A. S., Pireva Nuci, K., & Wani, M. A. (2021). Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study. Applied Sciences, 11(9), 3986. https://doi.org/10.3390/app11093986

Kirova, V. D., Ku, C. S., Laracy, J. R., & Marlowe, T. J. (2023). The Ethics of Artificial Intelligence in the Era of Generative AI. Journal of Systemics, Cybernetics and Informatics, 21(4), 42–50. https://doi.org/10.54808/JSCI.21.04.42

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for Language Teaching and Learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868

Koubaa, A., Boulila, W., Ghouti, L., Alzahem, A., & Latif, S. (2023). Exploring ChatGPT Capabilities and Limitations: A Critical Review of the NLP Game Changer [Preprint]. MATHEMATICS & COMPUTER SCIENCE. https://doi.org/10.20944/preprints202303.0438.v1

Kramsch, C. (2014). Teaching Foreign Languages in an Era of Globalization: Introduction. The Modern Language Journal, 98(1), 296–311. https://doi.org/10.1111/j.1540-4781.2014.12057.x

Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198

Lai, T., Zeng, X., Xu, B., Xie, C., Liu, Y., Wang, Z., Lu, H., & Fu, S. (2024). The application of artificial intelligence technology in education influences Chinese adolescent’s emotional perception. Current Psychology, 43(6), 5309–5317. https://doi.org/10.1007/s12144-023-04727-6

Lee, H. (2023). Using ChatGPT as a Learning Tool in Acupuncture Education: Comparative Study. JMIR Medical Education, 9, e47427. https://doi.org/10.2196/47427

Lee, L. N., Kim, M. J., & Hwang, W. J. (2019). Potential of Augmented Reality and Virtual Reality Technologies to Promote Wellbeing in Older Adults. Applied Sciences, 9(17), Article 17. https://doi.org/10.3390/app9173556

Lorenzen, P., Davis, B. C., & Joshi, S. (2005). Unbiased Atlas Formation Via Large Deformations Metric Mapping. In J. S. Duncan & G. Gerig (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 (Vol. 3750, pp. 411–418). Springer Berlin Heidelberg. https://doi.org/10.1007/11566489_51

Mathew, A. N., V., R., & Paulose, J. (2021). NLP-based personal learning assistant for school education. International Journal of Electrical and Computer Engineering (IJECE), 11(5), 4522. https://doi.org/10.11591/ijece.v11i5.pp4522-4530

Meng, Y., Zhou, D., Gao, R., Ma, J., Wang, C., & Zhou, X. (2016). Ossification of the posterior atlantoaxial membrane associated with atlas hypoplasia: A case report. Medicine, 95(48), e5563. https://doi.org/10.1097/MD.0000000000005563

Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., Dijkstra, K., Fisk, A. D., Rogers, W. A., & Sharit, J. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710–1721. https://doi.org/10.1016/j.chb.2010.06.020

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), 153. https://doi.org/10.3390/computers12080153

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

Nistor, N., Gö?ü?, A., & Lerche, T. (2013). Educational technology acceptance across national and professional cultures: A European study. Educational Technology Research and Development, 61(4), 733–749. https://doi.org/10.1007/s11423-013-9292-7

Ouyang, F., Dinh, T. A., & Xu, W. (2023). A Systematic Review of AI-Driven Educational Assessment in STEM Education. Journal for STEM Education Research, 6(3), 408–426. https://doi.org/10.1007/s41979-023-00112-x

Paguirigan, J. (2023). Customized learning management system for the students and teachers of Isabela State University-Ilagan Campus, Philippines. Journal for Educators, Teachers and Trainers, 14(1), 302–313. https://doi.org/10.47750/jett.2023.14.01.026

Park, W., & Kwon, H. (2023). Implementing artificial intelligence education for middle school technology education in Republic of Korea. International Journal of Technology and Design Education. https://doi.org/10.1007/s10798-023-09812-2

Paskevicius, M. (2021). Educators as Content Creators in a Diverse Digital Media Landscape. Journal of Interactive Media in Education, 2021(1), 18. https://doi.org/10.5334/jime.675

Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: An emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 9. https://doi.org/10.1186/s40561-019-0089-y

Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153. https://doi.org/10.2478/jolace-2019-0025

Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8

Qadir, J. (2023). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. 2023 IEEE Global Engineering Education Conference (EDUCON), 1–9. https://doi.org/10.1109/EDUCON54358.2023.10125121

Qu, J., Zhao, Y., & Xie, Y. (2022). Artificial intelligence leads the reform of education models. Systems Research and Behavioral Science, 39(3), 581–588. https://doi.org/10.1002/sres.2864

Rahm, L., & Rahm-Skågeby, J. (2023). Imaginaries and problematisations: A heuristic lens in the age of artificial intelligence in education. British Journal of Educational Technology, 54(5), 1147–1159. https://doi.org/10.1111/bjet.13319

Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Applied Sciences, 13(9), Article 9. https://doi.org/10.3390/app13095783

Ramadania, D. A. (2021). Students’ perception of learning management system (lms) utilized in online english learning situation during covid-19 pandemic. ELLTER Journal, 2(2), 36–46. https://doi.org/10.22236/ellter.v2i2.7589

Ramkorun, B. (2024). Graph plotting of 1-D motion in introductory physics education using scripts generated by ChatGPT 3.5. Physics Education, 59(2), 025020. https://doi.org/10.1088/1361-6552/ad2191

Ritala, P., Ruokonen, M., & Ramaul, L. (2024). Transforming boundaries: How does ChatGPT change knowledge work? Journal of Business Strategy, 45(3), 214–220. https://doi.org/10.1108/JBS-05-2023-0094

Rojas-Sánchez, M. A., Palos-Sánchez, P. R., & Folgado-Fernández, J. A. (2023). Systematic literature review and bibliometric analysis on virtual reality and education. Education and Information Technologies, 28(1), 155–192. https://doi.org/10.1007/s10639-022-11167-5

Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3

Roshan, P. K., Jacobs, M., Dye, M., & DiSalvo, B. (2014). Exploring How Parents in Economically Depressed Communities Access Learning Resources. Proceedings of the 18th International Conference on Supporting Group Work, 131–141. https://doi.org/10.1145/2660398.2660415

Rotkin, V. (2020). Generation of training initial generation content. Electrical and Computer Systems, 33(108), 66–73. https://doi.org/10.15276/eltecs.32.108.2020.7

Ruan, Y. (2022). Special-Purpose English Teaching Reform and Model Design in the Era of Artificial Intelligence. Mathematical Problems in Engineering, 2022, 1–12. https://doi.org/10.1155/2022/3068136

Sailer, M., Bauer, E., Hofmann, R., Kiesewetter, J., Glas, J., Gurevych, I., & Fischer, F. (2023). Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning. Learning and Instruction, 83, 101620. https://doi.org/10.1016/j.learninstruc.2022.101620

Sallam, M. (2023). ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare, 11(6), Article 6. https://doi.org/10.3390/healthcare11060887

Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023). ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations. Narra J, 3(1), e103. https://doi.org/10.52225/narra.v3i1.103

Schneider, K., Tomchuk, D., Snyder, B., Bisch, T., & Koch, G. (2024). Incorporating Artificial Intelligence Into Athletic Training Education: Developing Case-Based Scenarios Using ChatGPT. Athletic Training Education Journal, 19(1), 42–50. https://doi.org/10.4085/1062-6050-028.23

Smith, G. G., Haworth, R., & Žitnik, S. (2020). Computer Science Meets Education: Natural Language Processing for Automatic Grading of Open-Ended Questions in eBooks. Journal of Educational Computing Research, 58(7), 1227–1255. https://doi.org/10.1177/0735633120927486

Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2024). AI ?driven adaptive learning for sustainable educational transformation. Sustainable Development, sd.3221. https://doi.org/10.1002/sd.3221

Su, J., & Yang, W. (2023). Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education. ECNU Review of Education, 6(3), 355–366. https://doi.org/10.1177/20965311231168423

Sun, G. H., & Hoelscher, S. H. (2023). The ChatGPT Storm and What Faculty Can Do. Nurse Educator, 48(3), 119–124. https://doi.org/10.1097/NNE.0000000000001390

Surapaneni, K. M., Rajajagadeesan, A., Goudhaman, L., Lakshmanan, S., Sundaramoorthi, S., Ravi, D., Rajendiran, K., & Swaminathan, P. (2024). Evaluating CHATGPT as a SELF?LEARNING tool in medical biochemistry: A performance assessment in undergraduate medical university examination. Biochemistry and Molecular Biology Education, 52(2), 237–248. https://doi.org/10.1002/bmb.21808

Teebagy, S., Colwell, L., Wood, E., Yaghy, A., & Faustina, M. (2023). Improved Performance of ChatGPT-4 on the OKAP Examination: A Comparative Study with ChatGPT-3.5. Journal of Academic Ophthalmology, 15(02), e184–e187. https://doi.org/10.1055/s-0043-1774399

Teo, T., Fan, X., & Du, J. (2015). Technology acceptance among pre-service teachers: Does gender matter? Australasian Journal of Educational Technology, 31(3). https://doi.org/10.14742/ajet.1672

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), 15. https://doi.org/10.1186/s40561-023-00237-x

Tokuda, N., & Chen, L. (2001). An online tutoring system for language translation. IEEE Multimedia, 8(3), 46–55. https://doi.org/10.1109/93.940000

Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What Should Every Child Know about AI? Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9795–9799. https://doi.org/10.1609/aaai.v33i01.33019795

Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185–1193. https://doi.org/10.1016/j.chb.2015.02.014

Tsortanidou, X., Karagiannidis, C., & Koumpis, A. (2017). Adaptive Educational Hypermedia Systems based on Learning Styles: The Case of Adaptation Rules. International Journal of Emerging Technologies in Learning (iJET), 12(05), 150. https://doi.org/10.3991/ijet.v12i05.6967

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, ?., & Polosukhin, I. (2017). Attention is All you Need. Advances in Neural Information Processing Systems, 30. https://proceedings.neurips.cc/paper_files/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html

Vo, N. N. Y., Vu, Q. T., Vu, N. H., Vu, T. A., Mach, B. D., & Xu, G. (2022). Domain-specific NLP system to support learning path and curriculum design at tech universities. Computers and Education: Artificial Intelligence, 3, 100042. https://doi.org/10.1016/j.caeai.2021.100042

Wang, F., Vemuri, B. C., & Eisenschenk, S. J. (2006). Joint Registration and Segmentation of Neuroanatomic Structures From Brain MRI. Academic Radiology, 13(9), 1104–1111. https://doi.org/10.1016/j.acra.2006.05.017

Wang, R., Sun, Z., & Zhou, Y. (2023). Research on the new model of “Internet + education” based on artificial intelligence. In K. Zhang (Ed.), International Conference on Mathematics, Modeling, and Computer Science (MMCS2022) (p. 78). SPIE. https://doi.org/10.1117/12.2670426

Wang, X., Gong, Z., Wang, G., Jia, J., Xu, Y., Zhao, J., Fan, Q., Wu, S., Hu, W., & Li, X. (2023). ChatGPT Performs on the Chinese National Medical Licensing Examination [Preprint]. In Review. https://doi.org/10.21203/rs.3.rs-2584079/v1

Wang, Y., Su, Z., & Yan, M. (2023). Social Metaverse: Challenges and Solutions. IEEE Internet of Things Magazine, 6(3), 144–150. https://doi.org/10.1109/IOTM.001.2200266

Wei, Q., Wang, Y., Yao, Z., Cui, Y., Wei, B., Li, T., & Xu, X. (2023). Evaluation of ChatGPT’s performance in providing treatment recommendations for pediatric diseases. Pediatric Discovery, 1(3), e42. https://doi.org/10.1002/pdi3.42

Wu, L., Li, K., Yu, M., & Lin, Y. (2024). Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends. English Language Teaching and Linguistics Studies, 6(4), p215. https://doi.org/10.22158/eltls.v6n4p215

Xie, H., Chu, H.-C., Hwang, G.-J., & Wang, C.-C. (2019). Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 140, 103599. https://doi.org/10.1016/j.compedu.2019.103599

Xing, Y. (2024). Exploring the use of ChatGPT in learning and instructing statistics and data analytics. Teaching Statistics, 46(2), 95–104. https://doi.org/10.1111/test.12367

Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: A systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 59. https://doi.org/10.1186/s40594-022-00377-5

Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 28(11), 13943–13967. https://doi.org/10.1007/s10639-023-11742-4

Yu, H., & Nazir, S. (2021). Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies. Mobile Information Systems, 2021, 1–16. https://doi.org/10.1155/2021/3773414

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

Zeb, A., Ullah, R., & Karim, R. (2024). Exploring the role of ChatGPT in higher education: Opportunities, challenges and ethical considerations. The International Journal of Information and Learning Technology, 41(1), 99–111. https://doi.org/10.1108/IJILT-04-2023-0046

Zhao, J., & Fu, G. (2022). Artificial Intelligence-Based Family Health Education Public Service System. Frontiers in Psychology, 13, 898107. https://doi.org/10.3389/fpsyg.2022.898107