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Direct linkQian 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
Israel, Maya; Chung, Moon Y.; Wherfel, Quentin M.; Shehab, Saddeddine – Computer Science Education, 2020
Background and Context: Elementary computer science (CS) can be engaging and challenging for some students with disabilities who struggle with complex problem solving. Objective: This study examined academic engagement of students with autism spectrum disorder (ASD) in elementary CS instruction. Method: A mixed methods case study was used to study…
Descriptors: Elementary School Students, Computer Science Education, Autism, Pervasive Developmental Disorders
