Perspectives of Indian Researchers and Teachers on AI-Based Learning: Implications for School Psychology and Educational Practice in India
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Vol 07, Number 2 July, 2026
Pramila Ramani, Central University of Tamil Nadu, Thiruvarur Michiko Ishikawa Tokyo University of Graduate Studies and Social Welfare, Tokyo page No:124-134
There have been many useful contributions of AI in the field of education through
personalized learning, inclusion, adaptive learning, and keeping students engaged.
This study focuses on how Indian scholars and educators view AI based learning. In
order to conduct the research, a descriptive survey was adopted, adopting a mixedmethod
approach. For this purpose, 10 researchers and 10 teachers were selected
purposefully from different institutes in India. The information was gathered using semistructured
interviews, online surveys, and informal academic discussions. The
quantitative data were analysed using mean, standard deviation, Cronbach’s alpha,
percentage analysis, and chi-square analysis, whereas thematic analysis was used
for qualitative data. It was found that researchers and teachers had positive attitudes
about integrating AI into the teaching-learning process. Both researcher groups believed
that AI had helped improve personalized learning, accessibility, multilingual learning,
engaging students, and inclusive learning. Concerns relating to teachers’ readiness,
digital divide, ethical concerns, data security, plagiarism, abuse of AI, and infrastructure
were also noted. Both groups were in full agreement that the use of AI should be only
to support the teaching process instead of replacing the teachers. This paper
underscores the importance of adopting ethical policies on AI usage, conducting training
for the teachers, improving technological resources, and integrating the use of humancentred
AI in India’s education system