Al-Shabandar, Raghad and Jaddoa, Ali and Elwi, Taha A. and Mohammed, A. H. and Hussain, Abir Jaafar (2024) A Systematic Review for the Implication of Generative AI in Higher Education. INFOCOMMUNICATIONS JOURNAL, 16 (3). pp. 31-42. ISSN 2061-2079
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Abstract
The rapid advancement of genitive AI, like Chat GPT, has initiated a profound transformation in higher edu cation. It offers customized learning experiences, automates administrative tasks, and provides personalized support to stu dents and educators. Following PRISMA guidelines, this paper presents a systematic review that delves into the implications of genitive AI, a cutting-edge language model, in higher education. We adopted ChatGPT as an example of this study. It thoroughly examines the potential advantages and constraints of integrat ing ChatGPT into educational environments, assessing the quality of 35 selected articles and conducting a comprehensive meta-analysis of their findings. This study yields fresh insights into the multifaceted consequences of employing ChatGPT in higher education and underscores the intricate landscape asso ciated with AI integration in academic settings. It emphasizes the imperativeness of addressing ethical, legal, and pragmatic challenges while capitalizing on the potential benefits of AI tech nology in education. Our systematic review reveals a consistent reservation trend regarding generative AI integration within educational contexts. These concerns encompass many issues, emphasizing the necessity for judicious implementation and ro bust safeguards to mitigate potential challenges.
Item Type: | Article |
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Uncontrolled Keywords: | Generative AI, ChatGPT, Education, PRISMA |
Subjects: | L Education / oktatás > LB Theory and practice of education / oktatás elmélete és gyakorlata > LB2300 Higher Education / felsőoktatás Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
Depositing User: | Andrea Tankó |
Date Deposited: | 14 Nov 2024 11:10 |
Last Modified: | 25 Nov 2024 09:19 |
URI: | https://real.mtak.hu/id/eprint/209606 |
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