Hybrid Learning, Artificial Intelligence, and Indian Indigenized Values

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Author(s): Ritu Makhija (Chandigarh University, India), Shalini Aggarwal (Chandigarh University, India)and Sanjeev Jain (Chandigarh University, India)
Copyright: 2025
Pages: 18
Source title: Indigenous Teaching Disciplines and Perspectives for Higher Education
Source Author(s)/Editor(s): Maserole Christina Kgari-Masondo (The University of South Africa, South Africa)
DOI: 10.4018/979-8-3693-9296-6.ch013

Keywords: Education / Higher Education / Information Science Reference / Multicultural Education

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Abstract

In recent years, the integration of technology in education has transformed traditional teaching methods, paving the way for hybrid learning models that combine face-to-face instruction with online resources. This chapter explores the synergies between hybrid learning and Artificial Intelligence (AI) technologies in educational settings. By leveraging AI algorithms, machine learning, and natural language processing, educators can personalize learning experiences, analyze student data, and provide real-time feedback to enhance student engagement and academic performance. This chapter explores the Indian indigenized context of learning, and the role of AI in assessment. The chapter also delves into the challenges and opportunities of implementing AI in hybrid learning environments, including ethical considerations, data privacy concerns, and the need for teacher training. Ultimately, this chapter advocates for the thoughtful integration of AI in hybrid learning to create dynamic and adaptive educational experiences that cater to the diverse needs of learners in the digital age.

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Hybrid Learning, Artificial Intelligence, and Indian Indigenized Values

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