Enhancing students’ self-regulation and mathematics performance: the influence of feedback and self-evaluative standards

By A. S. Labuhn, B. Zimmerman, Marcus Hasselhorn. 2010

251 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Education, Social Psychology

View Paper: https://www.semanticscholar.org/paper/0c398c33531d98fcd1e445aa09e32aed7d35ad96

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In Developmental and Educational Psychology

In Education

In Social Psychology

Citations in the corpus

Motivational and affective determinants of self-regulatory strategy use in elementary school mathematics (2015, background): “Studying such relationships at earlier stages of development gains more and more interest in literature (Aunola, Leskinen, & Nurmi, 2006; Dermitzaki et al., 2009; Kramarski et al., 2009; Labuhn et al., 2010).”
A Critical Review of Research on Student Self-Assessment (2019, background): “…consistency increases when it is taught and supported in many of the ways any other skill must be taught and supported (Lopez and Kossack, 2007; Labuhn et al., 2010; Chang et al., 2012, 2013; Hawkins et al., 2012; Panadero and Romero, 2014; Lin-Siegler et al., 2015; Fitzpatrick and Schulz,…”
Students' intentions to study non-compulsory mathematics: the importance of how good you think you are (2015, result): “…training compared with other students (Huff & Nietfeld, 2009); however, receiving feedback increased the accuracy of mathematics self-evaluations for Grade 5 students in Germany, and in over-confident students the feedback additionally led to slightly increased performance (Labuhn et al., 2010).”
The effects of feedback on achievement, interest and self-evaluation: the role of feedback’s perceived usefulness (2014, methodology): “So far, however, only one study has dealt with the impact of elaborated feedback on calibration and found a positive effect (Labuhn et al., 2010).”
The effects of self-regulated learning training on community college students’ metacognition and achievement in developmental math courses (2016, background): “Labuhn et al. (2010) found self-monitoring and using feedback can improve calibration accuracy and math performance.”