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Songhee Han; Min Liu; Ying Cai; Peixia Shao – Instructional Science: An International Journal of the Learning Sciences, 2025
The effectiveness of science problem-based learning (PBL) is highly dependent on individual students' variability. Researchers have shown the need for cognition (NFC) and motivation are significant factors. Despite the acknowledged impact of these constructs, there is a gap in understanding the relationships among NFC, motivation, and learning…
Descriptors: Problem Based Learning, Science Instruction, Middle School Students, Student Motivation
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Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
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van Harsel, Milou; Hoogerheide, Vincent; Janssen, Eva; Verkoeijen, Peter; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2022
Presenting novices with examples and problems is an effective and efficient way to acquire new problem-solving skills. Nowadays, examples and problems are increasingly presented in computer-based learning environments, in which learners often have to self-regulate their learning (i.e., choose what type of task to work on and when). Yet, it is…
Descriptors: Video Technology, Metacognition, Problem Based Learning, Problem Solving