1. Granularity matters
- Author
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Sanne F. E. Rovers, Hans H.C.M. Savelberg, Anique B. H. de Bruin, Jeroen J. G. van Merriënboer, Geraldine Clarebout, Promovendi SHE, RS: SHE - R1 - Research (OvO), and Onderwijsontw & Onderwijsresearch
- Subjects
Value (ethics) ,STRATEGIES ,Process (engineering) ,QUESTIONNAIRE ,Metacognition ,050105 experimental psychology ,Education ,Self-regulated learning ,METACOGNITIVE KNOWLEDGE ,ACHIEVEMENT ,Mathematics education ,0501 psychology and cognitive sciences ,Research question ,Granularity ,SOCIALLY SHARED REGULATION ,05 social sciences ,Problem statement ,050301 education ,Contrast (statistics) ,MOTIVATION ,MODEL ,Educational research ,PERSPECTIVES ,Calibration ,Trace data ,Psychology ,0503 education ,Self-report - Abstract
Although self-regulated learning (SRL) is becoming increasingly important in modern educational contexts, disagreements exist regarding its measurement. One particularly important issue is whether self-reports represent valid ways to measure this process. Several researchers have advocated the use of behavioral indicators of SRL instead. An outstanding research debate concerns the extent to which it is possible to compare behavioral measures of SRL to traditional ways of measuring SRL using self-report questionnaire data, and which of these methods provides the most valid and reliable indicator of SRL. The current review investigates this question. It was found that granularity is an important concept in the comparison of SRL measurements, influencing the degree to which students can accurately report on their use of SRL strategies. The results show that self-report questionnaires may give a relatively accurate insight into students' global level of self-regulation, giving them their own value in educational research and remediation. In contrast, when students are asked to report on specific SRL strategies, behavioral measures give a more accurate account. First and foremost, researchers and practitioners must have a clear idea about their research question or problem statement, before choosing or combining either form of measurement.
- Published
- 2019
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