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

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Veröffentlicht in:International Journal of Web-Based Learning and Teaching Technologies vol. 20, no. 1 (2025), p. 1-28
1. Verfasser: Liao, XiFeng
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IGI Global
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022 |a 1548-1093 
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024 7 |a 10.4018/IJWLTT.394575  |2 doi 
035 |a 3277804521 
045 2 |b d20250101  |b d20251231 
100 1 |a Liao, XiFeng  |u Hunan College of Information, China 
245 1 |a Visualizing the Current Application and Future Directions of GenAI-Supported Student Learning and Development: Facilitations and Challenges 
260 |b IGI Global  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Visualization 
653 |a Educational technology 
653 |a Application 
653 |a Research 
653 |a Future 
653 |a Generative artificial intelligence 
653 |a Artificial intelligence 
653 |a Learning 
653 |a Systematic review 
653 |a Technology 
653 |a Students 
653 |a Technology attitudes 
653 |a Student Development 
653 |a Influence of Technology 
773 0 |t International Journal of Web-Based Learning and Teaching Technologies  |g vol. 20, no. 1 (2025), p. 1-28 
786 0 |d ProQuest  |t Applied Social Sciences Index & Abstracts (ASSIA) 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3277804521/abstract/embedded/ITVB7CEANHELVZIZ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3277804521/fulltextPDF/embedded/ITVB7CEANHELVZIZ?source=fedsrch