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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
Wong, Gary Ka-Wai; Cheung, Ho-Yin – Interactive Learning Environments, 2020
The role of programming in computing education for children has grown rapidly in recent years with the proliferation of specially designed programming tools, which is grounded on Seymour Papert's theoretical work in Constructionism. Studies show that some children can develop computational thinking skills and practices with programming activities…
Descriptors: Elementary School Students, Student Attitudes, 21st Century Skills, Computation
Israel, Maya; Lash, Todd – Interactive Learning Environments, 2020
This paper presents findings from a two-year qualitative study examining integration of computer science (CS) and computational thinking (CT) into elementary mathematics instruction. Integrated units were developed by elementary teachers and CS/CT coaches with support from university faculty with expertise in CS/CT and elementary mathematics.…
Descriptors: Thinking Skills, Problem Solving, Computation, Mathematics Instruction
