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Granularity matters
- Source :
- Metacognition and Learning, 14(1), 1-19. Springer, Cham
- Publication Year :
- 2019
- Publisher :
- Springer, Cham, 2019.
-
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.
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 15561623
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Metacognition and Learning
- Accession number :
- edsair.doi.dedup.....becbf6cad5843735cc472d0d9c59d2ea
- Full Text :
- https://doi.org/10.1007/s11409-019-09188-6