International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Influenced Educational Landscape: Challenges Related to Pedagogy and Evaluation from a Human-Centric Perspective

Author(s) Ms. Riya Anand
Country India
Abstract Artificial Intelligence (AI) has rapidly emerged as a transformative force within the contemporary educational landscape. Applications such as ChatGPT and other AI-driven tools are increasingly used by students and educators for content generation, information retrieval, lesson planning, and assessment design. Despite its growing adoption, users’ understanding of AI’s implications—both
benefits and limitations—remains relatively limited. This gap often leads to uncritical usage, over-dependence, and ethical concerns within teaching-learning processes. The present paper examines the key challenges associated with AI integration in education, with particular focus on pedagogy and evaluation. The study adopts a descriptive and analytical approach based on secondary sources including research articles, policy documents, and academic reports. It
highlights major pedagogical concerns such as changing teacher roles, diminished critical thinking, and dehumanization of learning, along with evaluation-related challenges including academic integrity, assessment reliability, and data privacy. The paper concludes by proposing human-centric remedial strategies to ensure ethical, balanced, and meaningful integration of AI into education systems.
Keywords Artificial Intelligence, Pedagogy, Evaluation, Academic Integrity, Human-Centric AI
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-08
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.71941
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E-ISSN 2582-2160
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