Attitude of Post Graduate Level Students towards AI Impact on Education in Pondicherry University
Keywords:
Artificial Intelligence Impact, Attitude, Post Graduate Level StudentsAbstract
Artificial Intelligence is introduced as a computational concept in the mid-twentieth century; it has evolved from simple automation to transformative force in higher education to help all students develop skills according to their own interests with flexibility. The goal behind this system is to reduce the pressure on students in the higher education system. The aim of the study is to find out the post graduate level students attitude towards the impact of AI in Pondicherry University. The study is quantitative in nature and the research design is descriptive survey approach. The researcher used 30questionnaires for 286 samples to collect the data through simple random sampling. For data analysis Mean, SD, Degree of Freedom and t-test have used. The results of the study reveals that, the attitude level of post graduate level students towards AI impact on education is moderate. Urban post graduate level students have shown better attitude than rural post graduate level students towards AI impact on education. It has also found that comparatively male post graduate level students have more favourable attitude towards AI impact on education than the female post graduate level students. Science stream students have comparatively more favourable attitude towards AI impact on education than the arts stream post graduate level students.
References
Ajzen, I. (1991). The theory of planned behavior.Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Cabrera, C., & Neville, R. (2025).Understanding student perceptions on the use of generative AI in higher education.Teaching in Higher Education.Taylor & Francis.https://doi.org/10.1080/13562517.2025.1234567
Chew, S., AbdRazak, S. S., & Lo, Y. T. (2025). AI usage and academic performance among Malaysian university students.International Journal of Pervasive Computing and Communications, 21(2), 134–149. https://doi.org/10.1108/IJPCC-05-2025-0153
Durak, G., Öncü, S., &Çankaya, S. (2026).Development and validation of the scale for attitudes towards generative artificial intelligence (SAGAI).European Journal of Education, 61(1), 112–130. Wiley.https://doi.org/10.1111/ejed.12678
Farran, H., Khlaif, Z. N., Saifi, A. G., &Hijjawi, T. (2026).Generative AI adoption among arts and design students in higher education.Cogent Education, 13(1), 235–248. Taylor & Francis.https://doi.org/10.1080/2331186X.2026.2456123
Government of India.(2020). National Education Policy 2020.Ministry of Education.https://www.education.gov.in/nep2020
Maphosa, M., &Khoza, L. (2025).Exploring postgraduate students’ use of generative AI as a research support tool: A South African case.In AI in Education Series (pp. 45–60).Springer Nature.https://doi.org/10.1007/978-3-031-50029-1_4
Pokrivcakova, S. (2025).GenAI-supported thesis writing in EFL contexts: Pedagogical opportunities and ethical challenges. CALLEJ Journal, 26(1), 1–18. https://callej.org/journal/26-1/Pokrivcakova2025.pdf
Runcan, R., Runcan, P. L., Rad, D., & Marina, L. (2026).Exploring students’ attitudes toward the integration of artificial intelligence in education.Societies, 16(1), 21.MDPI.https://doi.org/10.3390/soc16010021
Usha, G. V., Nadar, B., Almalki, S., &Bhagat, T. (2025).Knowledge, attitudes, and practices of artificial intelligence in dentistry: A cross-sectional study. BMC Medical Education, 25(112), 1–9. https://doi.org/10.1186/s12909-025-04517-y
Yilmaz, R. (2025). Artificial intelligence in the ESP classroom: An action research on vocabulary learning in the context of nutrition and dietetics. In ICERI Proceedings 2025 (pp. 156–163).IATED.https://library.iated.org/view/YILMAZ2025AI
Ramasamy, P., &Devika, S. (2025). Students’ perceptions of AI-enabled learning tools in Indian higher education institutions.Journal of Educational Technology Systems, 54(4), 467–485. SAGE Publications.https://doi.org/10.1177/0047239525123456
Mishra, S., &Chattopadhyay, R. (2025).Artificial intelligence and digital literacy: Evaluating postgraduate attitudes in Indian universities. Asian Journal of Distance Education, 20(3), 210–228. https://asianjde.org/ojs/index.php/AsianJDE/article/view/567
Zhou, L., & Chen, X. (2026).Higher education students’ acceptance of AI-based learning systems: An international comparative study. Computers & Education Open, 8(1), 100210.Elsevier.https://doi.org/10.1016/j.caeo.2026.100210
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