Citation :

Renuka Devi D, Midhunchakkaravarthy, "Uncovering Student Perspectives on the Transformative Impact of Generative AI in Education," International Journal of Electronics and Communication Engineering, vol. 13, no. 7, pp. 297-310, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I7P121

Abstract

The use of Generative AI(GAI) as an embedded tool in traditional teaching processes has brought about new revolutionary ways that are changing the nature of educational activity. As we continue to evolve through phases of innovation, an increasing number of educators are seeking to incorporate AI into their teaching to enhance student creativity, streamline certain aspects of the teaching/learning process, and improve overall learning outcomes. Although existing research focuses on academic performance and engagement, the objective of this research is to identify the impact on the creative quotient of students in a real-time learning environment. Through an extensive real-time survey, students' perceptions and experiences of AI-driven educational tools were assessed. Therefore, the results collectively provide an all-encompassing perspective of how GAI is transforming education and offer potential paths toward future innovations and developments within the teaching and learning environment. An integration of both AI and traditional teaching methods will promote a balanced and forward-thinking educational model. There is insufficient real-time evidence on whether GAI influences creativity or leads to dependence on the technology. The novelty of this research aims at measuring and comparing the influences of GAI with traditional learning methods and outcomes. This proposed research work will be evaluated using real-time data collected from various university students via a research study. Real-time analysis of the data will provide insight into how GAI has impacted the creative quotient of students who prefer to utilize modern tools over the traditional teaching-learning methodology.

Keywords

AI, Education, Generative AI (GAI), Innovation, Learning, Survey.

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