Beyond counting the correct responses: Metacognitive monitoring and score estimations in mathematics

This study investigated how well students differentiate their responses' accuracies (metacognitive monitoring) and estimate their test scores beyond counting—and counting on—the number of correct responses alone. Monitoring abilities of 2832 sixth‐graders (1410 male and 1422 female native in Tu...

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Bibliographic Details
Published inPsychology in the schools Vol. 59; no. 6; pp. 1105 - 1121
Main Authors Başokçu, Tahsin Oğuz, Güzel, Mehmet Akif
Format Journal Article
LanguageEnglish
Published Hoboken Wiley 01.06.2022
Wiley Subscription Services, Inc
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Summary:This study investigated how well students differentiate their responses' accuracies (metacognitive monitoring) and estimate their test scores beyond counting—and counting on—the number of correct responses alone. Monitoring abilities of 2832 sixth‐graders (1410 male and 1422 female native in Turkish) at an 11‐item Program for International Student Assessment (PISA)‐equivalent mathematics test were measured via response‐contingent Type‐2 signal detection theory. The students also made score estimations right before and immediately after completing the test (pre‐ and posttest estimations, respectively). Although high‐scoring students underestimated and low‐scoring ones overestimated how they would perform in the test, high‐scorers were accurate in their posttest estimations unlike the low‐scoring group, where the lattaer retained their overestimation tendencies. Having better monitoring performance, the high‐scoring group could subsequently calibrate their posttest estimations. Additional assessment methods such as measuring monitoring and score estimations seem to have the potential to reveal how mathematics students behave before, during, and after responding. Highlights Though students' pretest estimations are inaccurate, high scorers obtain accurate posttest estimations. Monitoring performance is well linked to students' test scores. Better monitoring at testing leads to better posttest score estimations.
ISSN:0033-3085
1520-6807
DOI:10.1002/pits.22665