GENERATIVE AI AND THE FUTURE OF TEACHING AND LEARNING: EDUCATIONAL INNOVATION, RISKS, AND RESEARCH DIRECTIONS
DOI:
https://doi.org/10.69980/1585bh81Abstract
Generative AI (GenAI) has become a prevalent education technology that can create explanations, feedback, assessments, and academic content. This is a narrative review that consolidates the latest insights on the implications for teaching, student learning, assessment, personalization, the role of the teacher and the learner, academic integrity, ethical risks, institutional adoption and future research. The evidence indicates that GenAI has the potential to improve the efficiency of instruction, provide formative feedback, support learners, and enable human-AI interaction. It has, however, a restricted educational potential due to hallucination, bias, opacity, privacy issues, unequal access, overreliance, and difficulties with subjective authorship and assessment validity. To achieve effective integration, the pedagogical design needs to be intentional, disciplinary judgment is needed, AI literacy is essential, transparent governance, and continuous human oversight. Future research must go beyond short-term perceptions to include long-term and comparative studies focused on learning outcomes, cognitive effects, equity, institutional conditions, and sustainable models for responsible integration of GenAI.
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