ARTIFICIAL INTELLIGENCE IN EDUCATION: NAVIGATING THE NEXUS OF INNOVATION AND ETHICS FOR FUTURE LEARNING LANDSCAPES

Suvendu Ray; Deb Prasad Ray

doi:10.29121/granthaalayah.v11.i12.2023.5464

Authors

Suvendu Ray Research Scholar, Department of Education, University of Kalyani, Kalyani, Nadia, West Bengal, India https://orcid.org/0009-0001-5705-9105
Deb Prasad Ray Professor, Department of Education, University of Kalyani, Kalyani, Nadia, West Bengal, India

DOI:

https://doi.org/10.29121/granthaalayah.v11.i12.2023.5464

Keywords:

Artificial Intelligence, Ethical Issues, Innovation, Benefits, Challenges

Abstract [English]

Artificial intelligence (AI) holds the potential to revolutionize teaching and learning methodologies, tackle some of the largest issues facing education today, and hasten the achievement of SDG 4. The revolutionary effects of artificial intelligence (AI) on education are explored in depth in this study paper. Researcher examined the possible advantages, challenges, and ethical issues related to this changing paradigm by examining the incorporation of AI technology in several educational environments. In the present study, researchers have discussed the use of AI in education, focusing on its benefits like personalized learning, data-driven insights, and accessibility. It also discussed the drawbacks, such as data privacy, biases, and ethical issues. This study has also emphasized the importance of accountability, transparency, and justice in AI algorithms. It also discusses future developments in AI-driven education, such as adaptive learning, augmented reality, and the potential of AI to address global education issues. The focus is on promoting a balanced viewpoint and addressing ethical concerns in AI-driven education. The integration of Artificial Intelligence (AI) in education is a transformative process, offering a wide range of applications from predictive analytics to personalized learning platforms. However, ethical issues like privacy, bias, and transparency must be addressed to ensure responsible AI adoption in the future.

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References

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%2Fs43681-021-00096-7. DOI: https://doi.org/10.1007/s43681-021-00096-7

Akinwalere, S. N., & Ivanov, V. (2022). Artificial Intelligence in Higher Education: Challenges and Opportunities. Border Crossing, 12 (1), 1 – 15. http://dx.doi.org/10.33182/bc.v12i1.2015. DOI: https://doi.org/10.33182/bc.v12i1.2015

Bostrom, N. (2017). Super Intelligence: Paths, Dangers, Strategies. Oxford University Press, Cop.

Bowen, G. A. (2009). Document Analysis as a Qualitative Research Method. Qualitative Research Journal, 9(2), 27-40. http://dx.doi.org/10.3316/QRJ0902027. DOI: https://doi.org/10.3316/QRJ0902027

Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): A High Level Academic and Industry Note 2021. AI and Ethics, 2, 157-165. DOI: https://doi.org/10.1007/s43681-021-00074-z

Creswell, J. W. (2013). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. SAGE publications.

Devi, S. (2022). Education and the Use of Artificial Intelligence. International Journal of Engineering and Applied Computer Science, 4(1), 9-12.

Gocen, A., & Aydemir, F. (2020). Artificial Intelligence in Education and Schools. Research on Education and Media, 12(1), 13-21. http://dx.doi.org/10.2478/rem-2020-0003. DOI: https://doi.org/10.2478/rem-2020-0003

Hwang, G. J., Xie, H., Wah, B. W., & Gasevic, D. (2020). Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1. https://doi.org/10.1016/j.caeai.2020.100001. DOI: https://doi.org/10.1016/j.caeai.2020.100001

Jiménez, S., Juárez-Ramírez, R., Castillo, V.H., Licea, G., Ramírez-Noriega, A., & Inzunza, S. (2018). A Feedback System to Provide Affective Support to Students. Comput. Appl. Eng. Educ, 26(3), 473–483. https://doi.org/10.1002/cae.21900. DOI: https://doi.org/10.1002/cae.21900

Jones, A. (2011). Philosophical and Socio-Cognitive Foundations for Teaching in Higher Education Through Collaborative Approaches to Student Learning. Educational Philosophy and Theory, 43(9), 997–1011. https://doi.org/10.1111/j.1469-5812.2009.00631.x. DOI: https://doi.org/10.1111/j.1469-5812.2009.00631.x

Kieslich, K., Lunich, M., & Marcinkowski, F. (2021). Threats of Artificial Intelligence Scale (TAI). International Journal of Social Robotics, 13, 1563–1577. DOI: https://doi.org/10.1007/s12369-020-00734-w

Krutka, D., Manca, S., Galvin, S., Greenhow, C., Koehler, M., & Askari, E. (2019). Teaching “Against” Social Media: Confronting Problems of Profit in the Curriculum. Teachers College Record, 121(14), 1–42. http://dx.doi.org/10.1177/016146811912101410. DOI: https://doi.org/10.1177/016146811912101410

Lin, P. Y., Chai, C. S., Jong, M. S. Y., Dai, Y., Guo, Y., & Qin, J. (2021). Modeling the Structural Relationship Among Primary Students’ Motivation to Learn Artificial Intelligence. Computers and Education: Artificial Intelligence, 2, 1-7. https://doi.org/10.1016/j.caeai.2020.100006. DOI: https://doi.org/10.1016/j.caeai.2020.100006

Mohamed, H., & Lamia, M. (2018). Implementing Flipped Classroom that Used an Intelligent Tutoring System into Learning Process. Com put. Educ. 124, 62–76. https://doi.org/10.1016/j.compedu.2018.05.011. DOI: https://doi.org/10.1016/j.compedu.2018.05.011

Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B. P., Chlosta, P., & Somani, B. K. (2022). Legal and Ethical Consideration in Artificial Intelligence in Healthcare: WhoTakes Responsibility? Frontiers in Surgery, 9, 1-6. http://dx.doi.org/10.3389/fsurg.2022.862322. DOI: https://doi.org/10.3389/fsurg.2022.862322

Panda, S., & Kaur, N. (2023). Exploring the Intersection of Digital Innovation and Educational Reform: Social Implications of Augmented Reality in the Classroom. IGI Global, Page- 34. http://dx.doi.org/10.4018/978-1-6684-9103-4.ch006. DOI: https://doi.org/10.4018/978-1-6684-9103-4.ch006

Paschal, M. J., &Melly, I. K. (2023). Ethical Guidelines on the Use of AI in Education. IGI Global, 13. https://doi.org/10.4018/979-8-3693-0205-7.ch013. DOI: https://doi.org/10.4018/979-8-3693-0205-7.ch013

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020). Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices. In: Proceedings of the ACM FAT* Conference, 469–481. https://dx.doi.org/10.2139/ssrn.3408010. DOI: https://doi.org/10.1145/3351095.3372828

Ray, S., & Ghanta, B. (2022). Present Status of Inclusive Education in India. International Journal of Engineering Research Updates, 3(2), 1-7. http://dx.doi.org/10.53430/ijeru.2022.3.2.0052. DOI: https://doi.org/10.53430/ijeru.2022.3.2.0052

Ray, S., & Sikdar, D. P. (2023). Trending Scenario of Teaching Method in the Modern Education. International Journal of Teaching, Learning and Education, 2(3), 7-11. http://dx.doi.org/10.22161/ijtle.2.3.2. DOI: https://doi.org/10.22161/ijtle.2.3.2

Regan, P. M., & Jesse, J. (2019). Ethical Challenges of Edtech, Big Data and Personalized Learning: Twenty-First Century Student Sorting and Tracking. Ethics Inf. Technol. 21, 167–179. https://doi.org/10.1007/s10676-018-9492-2n. DOI: https://doi.org/10.1007/s10676-018-9492-2

Remian, D. (2019). Augmenting Education: Ethical Considerations for Incorporating Artificial Intelligence in Education (Unpublished Master’s Thesis). University of Massachusetts, Boston.

Shang, J. J., Jong, M. S. Y., Lee, F. L., Lee, J. H. M., Wong, M., Luk, E., & Cheung, K. (2006). Using the "Record-Replay" Function for Elaboration of Knowledge in Educational Games. Frontiers in Artificial Intelligence and Applications, 151, 503–506.

Slimi, Z., & Carballido, B. V. (2023). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies. TEM Journal, 12(2), 590-602. DOI: https://doi.org/10.18421/TEM122-02

Sodhro, A. H., Pirbhulal, S., & Albuquerque, V. H. C. (2019). Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications, IEEE Trans. Ind. Inf., 15(7), 4235–4243. https://doi.org/10.1109/TII.2019.2902878. DOI: https://doi.org/10.1109/TII.2019.2902878

Specia, M. (2020). Parents, Students and Teachers Give Britain a Failing Grade Over Exam Results. The New York Times.

Suh, W., & Ahn, S. (2022). Development and Validation of a Scale Measuring Student Attitudes toward Artificial Intelligence. SAGE Open, 1-12. https://doi.org/10.1177/21582440221100463. DOI: https://doi.org/10.1177/21582440221100463

Sánchez-Monedero, J., Dencik, L., & Edwards, L. (2020). What Does it Mean to ’Solve’ The Problem of Discrimination in Hiring? In: Proceedings of the ACM FAT* Conference, 458–468. https://dx.doi.org/10.2139/ssrn.3463141. DOI: https://doi.org/10.2139/ssrn.3463141

Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. Calif Manag Rev, 61, 15–42. http://dx.doi.org/10.2139/ssrn.3263878. DOI: https://doi.org/10.1177/0008125619867910

Wartman, S. A., & Combs, C. D. (2018). Medical Education Must Move From the Information Age to the Age of Artificial Intelligence. Academic Medicine, 93(8), 1107–1109. https://doi.org/10.1097/acm.0000000000002044. DOI: https://doi.org/10.1097/ACM.0000000000002044

Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J., Yuam, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Hindwai, 2021, 1-19. https://doi.org/10.1155/2021/8812542.

Zhang, G., & Lu, Y. (2021). Study on Artificial Intelligence: The State of the Art and Future Prospects. Journal of Industrial Information Integration, 23(2021), 1-9. https://doi.org/10.1016/j.jii.2021.100224. DOI: https://doi.org/10.1016/j.jii.2021.100224