Students' Perception Towards Artificial Intelligence in Higher Education in India

This research examines students' perceptions of Artificial Intelligence (AI) in higher education in India. Data was collected from 100 students from different fields from engineering, management and science and used a quantitative research study design. A structured questionnaire used with a five-point Likert scale evaluated categories including Awareness, Perception, Perceived Benefits, Implementation, Adoption, and Challenges. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to explore the data. The result of the measurement model confirmed construct reliability and validity. The structural model's findings showed that  high awareness  of students predicts perception ,perception strongly predicts implementation, and implementation significantly predicts adoption. Perception and challenges , on the other hand, had no visible impact on adoption, suggesting that barriers are less powerful than anticipated. The results shown  that the main factors influencing the adoption of AI in higher education are effective implementation and the way the implementation introduced . By highlighting implementation as a crucial mediator in adoption models, the work adds theoretical value and has applications for educators and policymakers.

ChatGPT, Digital Learning, AI Adoption, Higher Education, Student Perception, Ethical AI

1. Aithal, A., & Aithal, P. S. (2019). Adoption of AI in higher education: Opportunities and challenges. International Journal of Applied Engineering and Management Letters, 3(2), 1–19. https://doi.org/10.5281/zenodo.3381382 [Google Scholar] [Crossref]

2. Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190. https://doi.org/10.1016/j.tele.2017.05.008 [Google Scholar] [Crossref]

3. Alhumaid, K., Ali, S., Waheed, A., Zahid, E., & Habes, M. (2020). COVID-19 & e-learning: Perceptions of university students. Education Research International, 2020, 8896534. https://doi.org/10.1155/2020/8896534 [Google Scholar] [Crossref]

4. Chen, X., Zou, D., Cheng, G., & Xie, H. (2021). Artificial intelligence in education: A review. Educational Technology & Society, 24(3), 1–13. [Google Scholar] [Crossref]

5. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]

6. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M.,Williams, M. D. (2021). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2021.102542 [Google Scholar] [Crossref]

7. Feng, Y., Xie, H., Zou, D., & Wong, T. L. (2023). Artificial intelligence in higher education: A bibliometric review. Computers and Education: Artificial Intelligence, 4, 100117. https://doi.org/10.1016/j.caeai.2023.100117 [Google Scholar] [Crossref]

8. Faggella, D. (2019). AI in education: Applications, opportunities, and risks. Emerj Artificial Intelligence Research. https://emerj.com [Google Scholar] [Crossref]

9. Gao, C., Shen, H., & Zhang, J. (2022). Students’ attitudes toward artificial intelligence–enhanced learning. International Journal of Educational Technology in Higher Education, 19(1), 21. https://doi.org/10.1186/s41239-022-00327-4 [Google Scholar] [Crossref]

10. HolonIQ. (2021). Artificial Intelligence in education market report. HolonIQ. https://www.holoniq.com [Google Scholar] [Crossref]

11. Huang, R., Spector, J. M., & Yang, J. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Springer. https://doi.org/10.1007/978-981-13-6643-7 [Google Scholar] [Crossref]

12. Jaiswal, A., Arun, C. J., & Varma, A. (2022). Adoption of artificial intelligence in higher education: A conceptual framework. Education and Information Technologies, 27(1), 1–19. https://doi.org/10.1007/s10639-021-10665-8 [Google Scholar] [Crossref]

13. Johnson, N., Veletsianos, G., & Seaman, J. (2020). US faculty and administrators’ experiences and approaches in the early weeks of the COVID-19 pandemic. Online Learning, 24(2), 6–21. https://doi.org/10.24059/olj.v24i2.2285 [Google Scholar] [Crossref]

14. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004 [Google Scholar] [Crossref]

15. Kose, U. (2017). Artificial intelligence-based education. International Journal of Artificial Intelligence and Applications, 8(1), 67–77. https://doi.org/10.5121/ijaia.2017.8106 [Google Scholar] [Crossref]

16. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. [Google Scholar] [Crossref]

17. Mishra, S., & Sharma, R. (2020). Adoption of AI-driven learning tools in Indian higher education. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012 [Google Scholar] [Crossref]

18. OECD. (2021). AI and the future of skills: Capabilities and assessments. OECD Publishing. https://doi.org/10.1787/bf1d6d50-en [Google Scholar] [Crossref]

19. 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), 1–13. https://doi.org/10.1186/s41039-017-0062-8 [Google Scholar] [Crossref]

20. Rolfe, V. (2021). The role of AI in higher education: Risks and rewards. Open Learning: The Journal of Open, Distance and e-Learning, 36(2), 119–133. https://doi.org/10.1080/02680513.2021.1895276 [Google Scholar] [Crossref]

21. UNESCO. (2021). AI and education: Guidance for policymakers. UNESCO. https://unesdoc.unesco.org [Google Scholar] [Crossref]

22. 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 [Google Scholar] [Crossref]

• Strategic Leadership and Cybersecurity Readiness in Digitally Transforming Organisations
• Spatial Distribution of Tourism Infrastructure in Awka, Onitsha and Nnewi Urban Areas of Anambra State.
• Emerging Technologies, Education and Skill Development for A Sustainable Blue Economy in Nigeria.
• Quantum Dot–Based Solar Cells: Advancements, Challenges, and Future Prospects
• A Study on the Impact of Artificial Intelligence on Employment Trends and Workforce Dynamics