Artificial Intelligence for Higher Education

Authors

  • R. D. Patidar O P Jindal University, Chhattisgarh (INDIA)
  • Vinita Bankira Vinoba Bhave University, Jharkhand (INDIA)

DOI:

https://doi.org/10.62431/7dsne293

Keywords:

Optimization, Credential-awarding, Collaboration, Pedagogical practice, Integration, Sophisticated, Formative evaluation, Personalized interventions

Abstract

Artificial Intelligence (AI) is increasingly recognized as a transformative force reshaping higher education in response to growing complexity, diversity, and global competitiveness. As universities and colleges navigate challenges related to massification, digital transformation, learner diversity, and demands for accountability, AI offers powerful tools to enhance academic quality, institutional efficiency, and student success. This chapter examines the multifaceted role of AI in higher education, highlighting its applications across teaching and learning, assessment and evaluation, student support and retention, research and knowledge creation, and institutional management and governance.
AI-driven systems enable personalized, learner-centered education through adaptive learning platforms, intelligent tutoring systems, and automated feedback mechanisms, supporting inclusive and flexible learning pathways. In assessment, AI enhances consistency, scalability, and formative feedback while enabling innovative evaluation of complex learning outcomes. Predictive analytics and intelligent advising systems support proactive, personalized student support, improving retention and equity. In research, AI accelerates data analysis, literature synthesis, interdisciplinary collaboration, and knowledge discovery, expanding the scope and impact of scholarly inquiry. At the institutional level, AI strengthens strategic planning, resource optimization, quality assurance, and evidence-based governance.
The chapter also critically examines ethical, equity, and governance considerations associated with AI adoption, including data privacy, algorithmic bias, transparency, academic freedom, and human oversight. Emphasizing a human-centered and responsible approach, it argues that AI should augment rather than replace human judgment and academic values. By situating AI within the broader mission of higher education, the chapter demonstrates how thoughtfully governed AI integration can enhance inclusivity, resilience, and sustainability, preparing institutions and learners for an increasingly digital and interconnected future.

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Published

2025-12-19

How to Cite

Artificial Intelligence for Higher Education. (2025). IARS’ Knowledge Planet, 979-8-25-326897-1. https://doi.org/10.62431/7dsne293

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