Self-Report is Indispensable to Assess Students’ Learning

Self-report is required to assess mental states in nuanced ways. By implication, self-report is indispensable to capture the psychological processes driving human learning, such as learners’ emotions, motivation, strategy use, and metacognition. As shown in the contributions to this special issue,...

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Main Author: Reinhard Pekrun
Format: Article
Language:English
Published: EARLI 2020-03-01
Series:Frontline Learning Research
Online Access:https://journals.sfu.ca/flr/index.php/journal/article/view/637
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author Reinhard Pekrun
author_facet Reinhard Pekrun
author_sort Reinhard Pekrun
collection DOAJ
description Self-report is required to assess mental states in nuanced ways. By implication, self-report is indispensable to capture the psychological processes driving human learning, such as learners’ emotions, motivation, strategy use, and metacognition. As shown in the contributions to this special issue, self-report related to learning shows convergent and predictive validity, and there are ways to further strengthen its power. However, self-report is limited to assess conscious contents, lacks temporal resolution, and is subject to response sets and memory biases. As such, it needs to be complemented by alternative measures. Future research on self-report should consider not only closed-response quantitative measures but also alternative self-report methodologies, make use of within-person analysis, and investigate the impact of respondents’ emotions on processes and outcomes of self-report assessments.    
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spelling doaj.art-900eb9c309634c188aa9e2fc5c5d905a2022-12-22T02:07:05ZengEARLIFrontline Learning Research2295-31592020-03-018310.14786/flr.v8i3.637Self-Report is Indispensable to Assess Students’ LearningReinhard Pekrun0University of Essex, United Kingdom & Australian Catholic University, Sydney, Australia Self-report is required to assess mental states in nuanced ways. By implication, self-report is indispensable to capture the psychological processes driving human learning, such as learners’ emotions, motivation, strategy use, and metacognition. As shown in the contributions to this special issue, self-report related to learning shows convergent and predictive validity, and there are ways to further strengthen its power. However, self-report is limited to assess conscious contents, lacks temporal resolution, and is subject to response sets and memory biases. As such, it needs to be complemented by alternative measures. Future research on self-report should consider not only closed-response quantitative measures but also alternative self-report methodologies, make use of within-person analysis, and investigate the impact of respondents’ emotions on processes and outcomes of self-report assessments.     https://journals.sfu.ca/flr/index.php/journal/article/view/637
spellingShingle Reinhard Pekrun
Self-Report is Indispensable to Assess Students’ Learning
Frontline Learning Research
title Self-Report is Indispensable to Assess Students’ Learning
title_full Self-Report is Indispensable to Assess Students’ Learning
title_fullStr Self-Report is Indispensable to Assess Students’ Learning
title_full_unstemmed Self-Report is Indispensable to Assess Students’ Learning
title_short Self-Report is Indispensable to Assess Students’ Learning
title_sort self report is indispensable to assess students learning
url https://journals.sfu.ca/flr/index.php/journal/article/view/637
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