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- W4367308892 abstract "Data-driven learning analytics can optimise the learning process and improve learning effect, but most current research focuses on the instrumental rationality of learning analytics at the expense of its value rationality. Based on learning analytics, this study applies spearman correlation analysis and multiple linear regression analysis to extract key variables that affect learning effect, build the best predictive model to identify potential risk takers, and cluster learning groups with similar behaviours. Based on the characteristics of the learning groups, three personalised teaching interventions, namely precise teacher intervention, visualisation of learning outcomes and collaborative construction of knowledge, are established to promote the learning effect of the learning groups and also reflect the value rationality of learning analysis." @default.
- W4367308892 created "2023-04-29" @default.
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- W4367308892 date "2023-03-16" @default.
- W4367308892 modified "2023-09-25" @default.
- W4367308892 title "Prediction and Intervention in the Effect of Online Learning in the Context of Learning Analytics" @default.
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- W4367308892 doi "https://doi.org/10.1109/iceit57125.2023.10107873" @default.
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