GENERATIVE ARTIFICIAL INTELLIGENCE IN TEACHING AND LEARNING: TRANSFORMING HIGHER EDUCATION THROUGH HUMAN–AI COLLABORATION

Author

Chaitra S Patil , Renuka B Hiremath


Abstract

 Generative Artificial Intelligence (GenAI) has emerged as a transformative technology with significant implications for contemporary education. The rapid development of large language models and generative applications has created new possibilities for teaching, learning, assessment, academic content development, and personalized educational support. Tools such as ChatGPT and other AI-enabled applications can assist educators in preparing instructional materials, generating assessment questions, designing classroom activities, explaining complex concepts, developing presentations, and providing individualized academic support. Similarly, students can employ GenAI to obtain explanations, summarize learning resources, generate ideas, improve written communication, explore alternative solutions, and support independent learning. Despite these opportunities, the integration of GenAI into education also presents substantial challenges. Concerns regarding academic integrity, plagiarism, inaccurate information, algorithmic bias, privacy, intellectual property, reduced critical thinking, and excessive dependence on AI require careful consideration. The educational value of GenAI therefore depends not simply on technological availability but on the manner in which these tools are incorporated into pedagogical practices.

The present study examines the role of Generative AI in teaching and learning, with particular emphasis on its applications, educational benefits, challenges, and implications for higher education. The study adopts a descriptive and exploratory research design based exclusively on secondary data obtained from academic literature, peer-reviewed research, books, systematic reviews, UNESCO publications, and other credible educational sources. A thematic approach is used to synthesize the available literature. The study finds that GenAI has considerable potential to improve instructional efficiency, personalized learning, student engagement, accessibility, and academic support. However, these benefits can be realized sustainably only when AI is integrated with teacher supervision, critical evaluation, ethical standards, and meaningful student participation. The study concludes that GenAI should be positioned as an augmentation technology rather than a substitute for educators. Higher education institutions should consequently develop AI literacy, responsible-use policies, assessment reforms, and faculty-development programmes to ensure that AI contributes to educational quality without undermining academic integrity and human intellectual development.



Keywords

Generative Artificial Intelligence, Generative AI, ChatGPT, Higher Education, Teaching and Learning, Personalized Learning, AI Literacy, Academic Integrity, Student Engagement, Human–AI Collaboration



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References


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