References of "Stadler, Matthias 50003136"
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See detailGuest Editorial
Stadler, Matthias UL; Greiff, Samuel UL; Krolak-Schwerdt, Sabine UL

in Special Issue: Current Methodological Issues in Educational Large-Scale Assessments – Part I (2016), 58

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See detailSpecial Issue: Current Methodological Issues in Educational Large-Scale Assessments – Part I
Stadler, Matthias UL; Krolak-Schwerdt, Sabine UL; Greiff, Samuel UL

in Psychological Test and Assessment Modeling (2016), 58

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See detailComplex Problem Solving and intelligence. A meta-analysis
Stadler, Matthias UL; Becker, N.; Gödker, M. et al

in Intelligence (2015), 53

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See detailDie Bedeutung komplexer Problemlösefähigkeit für ein erfolgreiches Studium
Stadler, Matthias UL; Becker, N.; Schult, J. et al

Scientific Conference (2015)

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See detailAssessing complex problem solving skills with Multiple Complex Systems.
Greiff, Samuel UL; Fischer, Andreas; Stadler, Matthias UL et al

in Thinking & Reasoning (2015), 21

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See detailIntelligenz und das Lösen komplexer Probleme
Becker, N.; Stadler, Matthias UL; Greiff, Samuel UL

in InMind (2015), 6

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See detailIntroduction on problem solving and empirical results on the use of strategies in complex problem solving tasks.
Wüstenberg, Sascha UL; Stadler, Matthias UL; Hautamäki, Jarkko et al

Scientific Conference (2014, April 30)

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See detailThe Utility of Complex Problems in University Selection
Stadler, Matthias UL; Greiff, Samuel UL

Scientific Conference (2014, April 30)

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See detailThe role of strategy knowledge for the application of strategies in complex problem solving tasks
Wüstenberg, Sascha UL; Stadler, Matthias UL; Hautamäki, Jarkko et al

in Technology, Knowledge and Learning (2014), 19

Education in the twenty-first century must prepare students to meet the challenges of a dynamic and interconnected world. However, assessment of students’ skills tends to focus primarily on static tasks ... [more ▼]

Education in the twenty-first century must prepare students to meet the challenges of a dynamic and interconnected world. However, assessment of students’ skills tends to focus primarily on static tasks. Therefore, it is not known whether knowledge about successful strategies displayed on static tasks can be transferred to interactive and dynamic environments. This study investigated whether students’ knowledge of a certain strategy (i.e., vary-one-thing-at-a-time, VOTAT) that was assessed in a paper-and-pencilbased scientific reasoning task as well as their fluid intelligence and learning orientation would be sufficient to explain variance in the application of the VOTAT strategy in solving an interactive complex problem solving (CPS) task (i.e., CPS strategy). Furthermore, we analyzed whether CPS strategy mediated the relation between the predictors (i.e., scientific reasoning, learning orientation, fluid intelligence) and CPS performance. The sample consisted of N = 3,191 Finnish students attending the 6th and 9th grades. Results revealed that all predictors were significantly related to CPS strategy, but a substantial amount of variance in CPS strategy remained unexplained (DeltaR-Square = .583). Furthermore, CPS strategy mediated the relation between the predictors and CPS performance. Three implications are discussed: Different demands on the problem solver, knowledge transfer from static versus interactive tasks, or metastrategic knowledge may explain the unexplained variance in CPS strategy. Additionally, the results of our mediation analyses emphasize the importance of measuring strategies via logfiles to gain a deeper understanding of determinants of students’ CPS performance. Finally, fostering motivational factors such as students’ learning orientation yields small improvements in CPS performance. [less ▲]

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