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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Niwat Srisawasdi; Tawinan Jan-in; Banjong Prasongsup; Patcharin Panjaburee – Journal of Chemical Education, 2025
Real-world applications can be potent tools in chemistry teaching, fostering highly beneficial learning for students. By involving students in real-world phenomena, we not only alter their perceptions of chemistry but also cultivate crucial chemistry competencies, preparing them for the future as scientists and citizens. In this report, we…
Descriptors: Foreign Countries, Science Education, Chemistry, Grade 4