Titlebook: Computer Supported Education; 13th International C Beno Csapó,James Uhomoibhi Conference proceedings 2022 Springer Nature Switzerland AG 20

寡头政治

试验

Ghaida Al-Warith,Christoph Mosss. The results show differences between the students’ self-efficacy levels and identified tools and pedagogical solutions in each platform. The paper also discusses students’ preferences and need for learning analytics dashboards and peer comparisons as well as their potential for functioning as supporting measures for self-regulation.

Supplement

Comparative Analysis on Features Supporting Students’ Self-regulation in Three Different Online Lears. The results show differences between the students’ self-efficacy levels and identified tools and pedagogical solutions in each platform. The paper also discusses students’ preferences and need for learning analytics dashboards and peer comparisons as well as their potential for functioning as supporting measures for self-regulation.

minion

Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain’s Approachentation of a metamodel to integrate a learning analytics system closely linked to the knowledge of the semantics and structure of any document produced, natively. Finally, we present an initial evaluation of this metamodel by modelers and discuss the limits of this metamodel and the future changes required.

蕨类

Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnairetionnaire in two studies of . = 100 and . = 53 deployments, evaluating paper, laptops, iPads, and reMarkable tablets as reading support tools. These studies led to the current version of the aRSX, and the initial results suggest that the metric is a reliable and valid indicator of a tool’s ability to support reading of academic texts.

残废的火焰

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手榴弹

尖

Guidelines for the Application of Data Mining to the Problem of School Dropoutnts a waste of resources for students, their families, schools and society, and continues to be a challenge for educational institutions. In the last decade, the growing amount of data from educational institutions and the emergence of data science have led to data mining methodologies to explore th