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Visualizing the Current Application and Future Directions of GenAI-Supported Student Learning and Development: Facilitations and Challenges

Shranjeno v:
izdano v:International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-28
Glavni avtor: Liao, XiFeng
Izdano:
IGI Global
Teme:
Visualization
Educational technology
Application
Research
Future
Generative artificial intelligence
Artificial intelligence
Learning
Systematic review
Technology
Students
Technology attitudes
Student Development
Influence of Technology
Online dostop:Citation/Abstract
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Resumen:The ubiquitous use of generative artificial intelligence (GenAI) technology has led to an explosion of scholarly interest in investigating the application of this emerging technology to supporting student learning and development. To gain an overarching view of the existing scientific literature and identify this field's areas of intense interest and future research trends, this systematic review, conducted with the assistance of the visualization software, aims to answer five research questions. This review identifies the main contributors to the relevant research, analyzes the status quo of GenAI technology in education, synthesizes the benefits and challenges of GenAI integration, and proposes interventions for future applications. The study proposes that a closer collaboration network in three dimensions—pedagogical use, learning integration, and administrative operation—may contribute to tackling negative impacts on student development and enhance effective learning.
ISSN:1548-1093
1548-1107
DOI:10.4018/IJWLTT.394575
Fuente:Applied Social Sciences Index & Abstracts (ASSIA)