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Maximizing Online Learning Intervention Strategies through Powerful Learning Analysis Techniques |
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PP: 1563-1574 |
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doi:10.18576/jsap/130601
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Author(s) |
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Simin Cai,
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Abstract |
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| Online learning is increasingly important for lifelong learning. Analyzing learner’s behavior of using learning analytics tools can help improve engagement and quality. In this paper, we investigate the impact of these tools on teacher interventions in online collaborative learning. Based on different intervention models, this paper designs matching experiments to investigate the influence of learning analysis tools on teachers’ intervention behavior. The study found that learning analysis tools in online collaborative learning had a significant impact on teachers’ intervention behavior, and teachers in the experimental group were significantly higher than those in the control group in the total frequency of intervention, cognitive intervention and personal intervention. In addition, this paper further puts forward some suggestions on the use of learning analysis tools in teaching practice, which provides a new way to adapt to the era of big data education and teaching.
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