THE TRANSFORMATIVE ROLE OF GENERATIVE AI IN EDUCATION: CHALLENGES AND OPPORTUNITIES FOR ENHANCING STUDENT LEARNING AND ASSESSMENT THROUGH MASS INTEGRATION

Authors

  • Abubokor Hanip Washington University of Science and Technology, USA. Author
  • Afjal H. Sarower Washington University of Science and Technology, USA. Author
  • Touhid Bhuiyan Washington University of Science and Technology, USA. Author

Keywords:

Generative AI In Education, Ethical Considerations, Personalized Learning

Abstract

Generative AI (GenAI) technologies, encompassing language models and text generation tools, have emerged as transformative tools with significant implications for education. This research delves into the multifaceted applications and ramifications of integrating GenAI into students' learning and assessment practices. By harnessing the capabilities of GenAI, educational institutions stand to offer tailored learning experiences, foster heightened engagement, and streamline assessment methodologies. Nonetheless, ethical quandaries, notably concerning plagiarism and academic integrity, necessitate careful consideration to ensure responsible deployment. This study meticulously scrutinizes the advantages, hurdles, and optimal approaches for incorporating GenAI within educational environments, seeking to furnish educators and policymakers with insights into harnessing the potential of this groundbreaking technology. Through comprehensive examination, this research endeavors to pave the way for informed decision-making regarding the integration of GenAI, ultimately aiming to bolster educational efficacy and innovation.

References

Abunaseer, H. (n.d.). The use of generative AI in education: applications, and impact. Pressbooks. Retrieved from https://pressbooks.pub/techcurr2023/chapter/the-use-of-generative-ai-in-educationapplications-and-impact/

Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). Ethical principles for artificial intelligence in K-12 education. Computers and Education: Artificial Intelligence, 4, 100131. https://doi.org/10.1016/j.caeai.2023.100131

Ahmad, S. F., et al. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Communications, 10(1), 311. https://doi.org/10.1057/s41599-023-01787-8

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2(3), 431-440. https://doi.org/10.1007/s43681-021-00096-7

Bender, J., Gebru, T., McMillan-Major, A., & Mitchell, M. (2021). On the dangers of stochastic parrots: Can language models be too big? arXiv preprint arXiv:2101.02233.

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.

Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y

Chauncey, S. A., & McKenna, H. P. (2023). A framework and exemplars for ethical and responsible use of AI chatbot technology to support teaching and learning. Computers & Education: Artificial Intelligence, 5, 100182. https://doi.org/10.1016/j.caeai.2023.100182

Clark, J. H., Koenecke, A., Naecker, J., & Thorne, J. (2021). The role of artificial intelligence in enhancing education. Journal of Artificial Intelligence in Education, 31(3), 345-365.

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2023.2190148

Dong, R., et al. (2020). Integrating artificial intelligence into education: Opportunities, challenges, and expectations. Smart Learning Environments, 7(1), 1-18.

Dosovitskiy, A., Springenberg, J. T., & Brox, T. (2016). Generating images with perceptual similarity metrics based on deep networks. In Advances in Neural Information Processing Systems (pp. 658-666).

Essien, A., Chukwukelu, G., & Essien, V. (2021). Opportunities and challenges of adopting artificial intelligence for learning and teaching in higher education. In Fostering Communication and Learning with Underutilized Technologies in Higher Education (p. 12). IGI Global. https://doi.org/10.4018/978-1-79984846-2.ch005

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

Gong, Y., Liu, C., Zhang, M., & Chen, Y. (2020). The integration of artificial intelligence in education: Opportunities, challenges, and expectations. Journal of Educational Computing Research, 58(8), 13991420.

Goodfellow, I., Bengio, Y., & Courville, A. (2014). Deep learning. MIT Press.

Gururangan, S., Marasović, A., Swayamdipta, S., Lo, K., Beltagy, I., Downey, D., ... & McElroy, B. (2020). Don't stop pretraining: Adapt language models to domains and tasks. arXiv preprint arXiv:2004.10964.

Haleem, A., Javaid, M., Qadri, M. A., & Suman, 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

Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, S. (2022). Artificial intelligence for assessment and feedback to enhance student success in higher education. Mathematical Problems in Engineering, 2022, 1-19. https://doi.org/10.1155/2022/5215722

Humble, N., & Mozelius, P. (2022). The threat, hype, and promise of artificial intelligence in education. Discover Artificial Intelligence, 2(1), 22. https://doi.org/10.1007/s44163-022-00039-z

Ilkka, T. (2018). The impact of artificial intelligence on learning, teaching, and education. Ministry of Education. Retrieved from https://repositorio.minedu.gob.pe/handle/20.500.12799/6021

Kamalov, F., & Gurrib, I. (2023). A new era of artificial intelligence in education: A multifaceted revolution. Computer and Society. https://doi.org/10.48550/arXiv.2305.18303

Kasneci, E., et al. (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

Khan, I., Ahmad, A. R., Jabeur, N., et al. (2021). An artificial intelligence approach to monitor student performance and devise preventive measures. Smart Learning Environments, 8, 17. https://doi.org/10.1186/s40561-021-00161-y

Kundi, B., Morr, C. E., Gorman, R., & Dua, E. (2022). Artificial intelligence and bias: A scoping review. In AI and Society. Chapman and Hall/CRC.

Lee, J., & Kim, S. (2021). Teacher perceptions and professional development needs regarding the integration of AI in education. Journal of Educational Computing Research, 59(3), 683-703.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Mishra, A. (2023). Enhancing personalized learning with artificial intelligence: Opportunities and challenges. Research and Reviews: International Journal of Multidisciplinary, 8(8), 8. https://doi.org/10.31305/rrijm.2023.v08.n08.014

Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445-8501. https://doi.org/10.1007/s10639-022-11491-w

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

Niskanen, T., Sipola, T., & Väänänen, O. (2023). Latest trends in artificial intelligence technology: A scoping review. arXiv preprint arXiv:2305.04532. https://doi.org/10.48550/arXiv.2305.04532

Perkins, M. (2023). Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.07

Pinkwart, N. (2016). Another 25 years of AIED? Challenges and opportunities for intelligent educational technologies of the future. International Journal of Artificial Intelligence in Education, 26(2), 771-783. https://doi.org/10.1007/s40593-016-0099-7

Singh, T., Mishra, J., Singh, T., & Mishra, J. (2021). Learning with artificial intelligence systems: Application, challenges, and opportunities. In Impact of AI Technologies on Teaching, Learning, and Research in Higher Education (p. 18). IGI Global. https://www.igi-global.com/gateway/chapter/261506

Sottilare, R. A., Baker, R. S., Graesser, A. C., & Lester, J. C. (2018). Special issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a stable and flexible platform for innovations in AIED research. International Journal of Artificial Intelligence in Education, 28(2), 139-151. https://doi.org/10.1007/s40593-017-0149-9

Verma, A., Kumar, Y., & Kohli, R. (2021). Study of AI techniques in quality education: Challenges and recent progress. SN Computer Science, 2(4), 238. https://doi.org/10.1007/s42979-021-00635-3

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

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Published

2024-10-19

How to Cite

Abubokor Hanip, Afjal H. Sarower, & Touhid Bhuiyan. (2024). THE TRANSFORMATIVE ROLE OF GENERATIVE AI IN EDUCATION: CHALLENGES AND OPPORTUNITIES FOR ENHANCING STUDENT LEARNING AND ASSESSMENT THROUGH MASS INTEGRATION. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET), 15(5), 161-175. https://lib-index.com/index.php/IJARET/article/view/IJARET_15_05_012