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Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
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Stewart, Shannon L.; Klassen, Janell; Hamza, Chloe – Exceptionality Education International, 2016
Previous research linking school disruption with mental health problems has largely relied on assessments of academic achievement to measure school disruption. Early disruptive classroom behaviour (e.g., conflict with school staff, negative attitudes toward school), however, may precipitate poor academic performance and may stem from emerging…
Descriptors: Mental Health, Children, Youth, Clinical Diagnosis
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Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research