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Direct linkZiyi Kuang; Xiaxia Jiang; Keith T. Shubeck; Xiaoxue Leng; Yahong Li; Rui Zhang; Zhen Wang; Shun Peng; Xiangen Hu – Educational Psychology, 2024
This study explored the role of question types and prior knowledge in vicarious learning with an intelligent tutoring system. In experiment 1, the participants were assigned to three conditions (deep questions, shallow questions, control), the results showed that participants in the deep questions condition had higher retention test scores than…
Descriptors: Questioning Techniques, Intelligent Tutoring Systems, Cognitive Processes, College Students
Julia M. Rodriguez Buritica; Ben Eppinger; Hauke R. Heekeren; Eveline A. Crone; Anna C. K. van Duijvenvoorde – npj Science of Learning, 2024
Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based…
Descriptors: Observational Learning, Individual Differences, Children, Young Adults
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
