What type of study is this?

This is a Literature Review study.

September 10, 2025

Generative Artificial Intelligence in Higher Education: Challenges, Opportunities and Pedagogical Implications

Key Points

Generative artificial intelligence improves productivity and student engagement, but also raises academic integrity concerns.
The literature review spans GAI use in higher education from 2024 to 2025, highlighting its strengths and weaknesses.
Clear institutional policies and ethical guidelines are essential for responsible integration of generative artificial intelligence.
Future research is needed to explore pedagogical strategies and the long-term impacts of GAI on learning.

Abstract

Generative Artificial Intelligence (GAI) is transforming Higher Education (HE), impacting academic writing, teaching methodologies and institutional practices. This study presents a literature review on the use of GAI in HE between 2024 and 2025, analyzing its strengths, weaknesses, opportunities and challenges. GAI improves productivity, student engagement, and personalization, but raises concerns about academic integrity, envy, and over-reliance on this technology. The results highlight the need for clear institutional policies, ethical guidelines and continuous training for teachers, ensuring a responsible integration of GAI. Future research should address pedagogical strategies, ethical issues, and long-term impacts of GAI on learning.

AIに質問

Bookmark