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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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Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
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Kumps, Audrey; Temperman, Gaetan; De Lievre, Bruno – Turkish Online Journal of Educational Technology - TOJET, 2022
In French-speaking Belgium, one of the new tasks of the teacher will be to develop the informational skills of learners. Therefore, the main purpose of this research is to identify the variables that affect the performance of online information retrieval so that teachers can plan appropriate teaching activities. The statistical Classification and…
Descriptors: Foreign Countries, Online Searching, Search Strategies, Information Retrieval