Exploring an Approach on Learning Feedback Strategy in the Metaverse: A Perspective of the Fusion of Multi-source Data
Authors: 
Tinghui Wu, Xuesong ZhaiAuthors Info & Claims
Pages 62 - 66
Abstract
Feedback is widely recognized as a crucial element in promoting the overall quality of education. However, the approach of feedback within the emerging Metaverse remains unclear. This study aims to address this gap by conducting an exploratory investigation into the feedback approach in the Metaverse. By utilizing supplementary log data and eye-tracking data, a feedback framework driven by multiple data sources is proposed. The findings of this study have significant implications for both theoretical and practical research in virtual learning, shedding light on the intricate feedback processes within the Metaverse and its potential to enhance educational practices.
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December 2023
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Published: 26 March 2024
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EBIMCS 2023
EBIMCS 2023: 2023 6th International Conference on E-Business, Information Management and Computer Science
December 30 - 31, 2023
Hong Kong, Hong Kong
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