Generative Artificial Intelligence and the Reconstruction of Teaching and Learning: A Scholarly Review

سال انتشار: 1405
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 11

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ELTCONF01_222

تاریخ نمایه سازی: 18 مرداد 1405

چکیده مقاله:

The rapid advancement of generative artificial intelligence (AI) has triggered a profound transformation in educational practice, demanding new pedagogical frameworks, updated assessment strategies, and institutional policies that address emerging ethical challenges. This paper critically synthesizes insights from Bowen and Watson's Teaching with AI: A Practical Guide to a New Era of Human Learning and Miller et al.'s Generative AI in Education. The review highlights convergences in their discussions of AI literacy, assessment redesign, and the need for intentional integration of AI into instructional design. It further explores tensions in the literature regarding epistemic authority, academic integrity, and institutional responsibilities. The paper concludes by outlining implications for educators and future research directions.

نویسندگان

Maryam Ranjbar

English Language Department, Bonab Branch, Islamic Azad University, Bonab, Iran