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What does Artificial Intelligence Generated Content bring to Teaching and Learning? A literature review on AIGC in Education

Jiayuan Li, Sha Zhu, Harrison Hao Yang, Jian Xu

202412 citationsDOI

Abstract

In order to inspire future researches and practices regarding the use of Artificial Intelligence Generated Content (AIGC) in education, this study conducted a literature review on AIGC in education. The study found that using AIGC in teaching and learning brings unprecedented opportunities for digital transformation in education, including providing technical support for the enhancement of personalized learning, empowering the cultivation of higher-order cognitive skills, and transforming educational assessment to reshape teaching and learning. Nevertheless, the application of AIGC in education may involve risks such as cognitive biases, ethical concerns, and widening the digital divide. To address the risks, coping strategies have been proposed by researchers, including strengthening the capability of providing reliable AIGC services, developing ethical guidelines for AIGC in education, and promoting teachers’ and students’ digital literacy. However, the existing studies mainly focused on theoretical analyses, and practical researches of AIGC in education is still limited. Based upon the literature review, the authors put forward future research directions for reference.

Topics & Concepts

Computer scienceArtificial intelligenceMathematics educationPsychologyOnline Learning and Analytics