Empowering Education with AI: Insights into Personalization, Adaptive Platforms, and the Future of Learning
Vol 7, Issue 2, 2024
VIEWS - 69 (Abstract) 94 (PDF)
Abstract
the profound impact of AI on modern education, with a primary focus on its role in personalized learning, adaptive education, and the advent
of virtual teacher assistants like ChatGPT. Through extensive analysis, we identify that AI systems, by leveraging data, offer personalized
feedback and guidance, thus optimizing the learning experience. While AI holds promising potential for revolutionizing education, it also presents challenges such as ethical considerations of data privacy and the dynamic nature of its technologies. Furthermore, AI’s global influence
promises to reshape traditional teaching methods, emphasizing a more individualized approach, and potentially democratizing high-quality
educational access across the globe.
Keywords
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1. [1] Alashoor, T., Keil, M., Smith, H. J., & McConnell, A. R. (2022). Too Tired and in Too Good of a Mood to Worry about Privacy:
2. Explaining the Privacy Paradox through the Lens of Effort Level in Information Processing. Information Systems Research. Retrieved from
3. https://www.researchgate.net/publication/364758936.
4. [2] Asatiani, A., Malo, P., Rådberg Nagbøl, P. R., Penttinen, E., RintaKahila, T., & Salovaara, A. (2021). Sociotechnical Envelopment
5. of AI: An Approach to Organizational Deployment of Inscrutable AI Systems. Journal of the Association for Information Systems, 22(2),
6. 325–352.https://doi.org/10.17705/1jais.00491.
7. [3] Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). AI and Reflections from Educational
8. Landscape: A Review of AI Studies in Half a Century. Sustainability, 13(800).
9. [4] Dehling, T., & Sunyaev, A. (2023). A Design Theory for Transparency of Information Privacy Practices. Information Systems Research. Institute for Operations Research and the Management Sciences (INFORMS). https://doi.org/10.1287/isre.2019.0239.
10. [5] Fügener, A., Grahl, J., Gupta, A., & Ketter, W. (2021). Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working
11. with AI. MIS Quarterly, 45(3), 1527-1556. https://doi.org/10.25300/MISQ/2021/16553.
12. [6] Jahnke, I., Meinke‑Kroll, M., Todd, M., & Nolte, A. (2022). Exploring Artifact‑Generated Learning with Digital Technologies: Ad_x005fvancing Active Learning with Co‑design in Higher Education Across Disciplines. Technology, Knowledge and Learning, 27, 335-364. https://
13. doi.org/10.1007/s10758-020-09473-3.
14. [7] Leung, A. C. M., Santhanam, R., Kwok, R. C.-W., & Yue, W. T. (2023). Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment. Information Systems Research, 34(1), 27-49. https://doi.org/10.1287/
15. isre.2022.1123.
16. [8] Liao, G.-Y., Huang, T.-L., Dennis, A. R., & Teng, C.-I. (2023). The Influence of Media Capabilities on Knowledge Contribution in
17. Online Communities. Information Systems Research. https://doi.org/10.1287/isre.2023.1225.
18. [9] Li, J., Li, M., Wang, X., & Thatcher, J.B. (2021). Strategic directions for AI: The role of CIOs and boards of directors. MIS Quarterly, 45(3), 1603–1643.
19. [10] Lou, B., & Wu, L. (2021). AI on drugs: Can AI accelerate drug development? Evidence from a large-scale examination of
20. bio-pharma firms. MIS Quarterly, 45(3), 1451–1482.
21. [11] Nah, F.-F.-H., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: applications, challenges, and AI-human collaboration. Journal of Information Technology. Case Appl. Res., 25(3).
22. [12] Petrović, J., & Jovanović, M. (2021). The Role of Chatbots in Foreign Language Learning: The Present Situation and the Future
23. Outlook. In AI: Theory and Applications (pp.313–330). Springer, Cham.
24. [13] Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N.,
25. Schwabe, G., & Söllner, M. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information and Management,
26. 57(2). https://doi.org/10.1016/j.im.2019.103174.
27. [14] Song, X., Xu, B., & Zhao, Z. (2022). Can people experience romantic love for AI? An empirical study of intelligent assistants. In
28. formation and Management, 59(2). https://doi.org/10.1016/j.im.2022.103595.
29. [15] Strich, F., Mayer, A.-S., & Fiedler, M. (2021). What do I do in a world of AI? Investigating the impact of substitutive decision-making AI systems on employees’ professional role identity. Journal of the Association for Information Systems, 22(2), 9.
30. [16] Susarla, A., Gopal, R., Thatcher, J. B., & Sarker, S. (2023). The Janus Effect of Generative AI: Charting the Path for Responsible
31. Conduct of Scholarly Activities in Information Systems. Information Systems Research, 34(2), 399-408. https://doi.org/10.1287/isre.2023.
32. ed.v34.n2.
33. [17] Turja, T., Aaltonen, I., Taipale, S., & Oksanen, A. (2020). Robot acceptance model for care (RAM-care): A principled approach to
34. the intention to use care robots. Information & Management, 57, 103220. https://doi.org/10.1016/j.im.2019.103220.
35. [18] Van den Broek, E., Sergeeva, A., & Huysman, M. (2021). When the machine meets the expert: An ethnography of developing AI
36. for hiring. MIS Quarterly, 45(3), 1557-1.
DOI: https://doi.org/10.18686/ijmss.v7i2.4711
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