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Fan Ouyang; Luyi Zheng; Xinyu Dai; Weiqi Xu; Pengcheng Jiao – Educational Technology Research and Development, 2025
Computer-supported collaborative concept mapping (CSCCM), as one of the computer-mediated instruction and learning strategies, has been used to foster collaborative knowledge construction (CKC). Previous research has characterized groups based on final knowledge artifacts, products, or performances, rather than the temporal, process-oriented…
Descriptors: Content and Language Integrated Learning, Discourse Analysis, Computer Assisted Instruction, Concept Mapping
Linjing Wu; Xuelin Xiang; Xueyan Yang; Xuan Jin; Liang Chen; Qingtang Liu – Educational Technology Research and Development, 2025
Problem-solving strategies are crucial in learning programming. Owing to their hidden nature, traditional methods such as interviews and questionnaires cannot reflect the details and differences of problem-solving strategies in programming. This study uses the Hidden Markov Model to detect and compare the problem-solving strategies of different…
Descriptors: Markov Processes, Problem Solving, Programming, Identification
Gwo-Jen Hwang; Chun-Chun Chang; Chin-Ya Juan – Educational Technology Research and Development, 2025
Problem-posing has been regarded as a potential method to engage students in deeper thinking; however, without sufficient supports, most students could encounter difficulties in posing quality problems. In this study, a concept mapping-based online cooperative problem-posing (CM-OCPP) approach is proposed to guide students to complete…
Descriptors: Learning Processes, Learning Strategies, Concept Mapping, Electronic Learning

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