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Melzner, Nadine; Dresel, Markus; Kollar, Ingo – Metacognition and Learning, 2022
To be able to collaborate effectively and efficiently has been described as a complex and crucial twenty-first century skill. During collaboration, however, a variety of problems may emerge that require groups to engage in effective regulation processes, which is a complex task in itself. Up to now, little is known about (a) what types of…
Descriptors: Cooperative Learning, Metacognition, Learning Strategies, Case Studies
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Händel, Marion; de Bruin, Anique B. H.; Dresel, Markus – Metacognition and Learning, 2020
Extensive research has been conducted to understand how accurately students monitor their studying and performance via metacognitive judgments. Moreover, the bases of students' metacognitive judgments are of interest. While previous results are quite consistent regarding the importance of performance for the accuracy of metacognitive judgments,…
Descriptors: Individual Differences, Metacognition, Personality Traits, Decision Making
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Händel, Marion; Dresel, Markus – Metacognition and Learning, 2018
Since its introduction in the late 1990s, the unskilled and unaware effect motivated several further studies. As it stands, low-performing students are assumed to provide inaccurate and overconfident performance judgments. However, as research with second-order judgments (SOJs) indicates, they apparently have some metacognitive awareness of this.…
Descriptors: Metacognition, Accuracy, Undergraduate Students, Performance
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Daumiller, Martin; Dresel, Markus – Journal of Experimental Education, 2019
Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated…
Descriptors: Metacognition, Cues, Student Motivation, Pretests Posttests
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Tulis, Maria; Steuer, Gabriele; Dresel, Markus – Educational Psychology, 2018
Research on learning from errors gives reason to assume that errors provide a high potential to facilitate deep learning if students are willing and able to take these learning opportunities. The first aim of this study was to analyse whether beliefs about errors as learning opportunities can be theoretically and empirically distinguished from…
Descriptors: Beliefs, Educational Opportunities, Learning, Student Adjustment
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Dresel, Markus; Schmitz, Bernhard; Schober, Barbara; Spiel, Christine; Ziegler, Albert; Engelschalk, Tobias; Jöstl, Gregor; Klug, Julia; Roth, Anne; Wimmer, Bastian; Steuer, Gabriele – Studies in Higher Education, 2015
A global characteristic of higher education is the opportunity and necessity for students to self-regulate their learning. In contrast to considerable research focusing on self-regulated learning (SRL) from a behavioural perspective, little is known concerning the underlying competencies which enable students to succeed in SRL. A structural model…
Descriptors: Metacognition, Higher Education, Content Validity, Standards
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Dresel, Markus; Haugwitz, Marion – Journal of Experimental Education, 2008
The authors designed a computer-based approach to enhance motivation and self-regulated learning. Participants of the quasi-experimental study were 6th-grade students (N = 151) who worked with a mathematics-learning software program during regular classroom instruction. In the 1st condition, students received attributional software-generated…
Descriptors: Feedback (Response), Student Motivation, Independent Study, Computer Uses in Education