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Xu, Zhen; Ritzhaupt, Albert D.; Umapathy, Karthikeyan; Ning, Yang; Tsai, Chin-Chung – Computer Science Education, 2021
Background and context: Researchers have been looking into the complexity of computer science (CS) education and tried to apply rigorous and relevant educational research methods to understand and facilitate the learning experience of students. Objective: The purpose of this study was to explore college students' conceptions of learning CS to shed…
Descriptors: College Students, Student Attitudes, Computer Science Education, Freehand Drawing
Demir, Ömer; Seferoglu, Süleyman Sadi – Journal of Educational Computing Research, 2021
This study's goal was to investigate the effect of homogeneous and heterogeneous pairs in terms of individual differences on group compatibility, flow, and coding performance in pair programming. In line with this goal, five individual difference variables of gender, learning style, friendship, the conscientiousness component of personality…
Descriptors: College Students, Programming, Coding, Cooperative Learning
Suárez, Maria del Mar; Gesa, Ferran – Language Learning Journal, 2019
Video viewing can be a valuable resource to expose students to large quantities of input so they can improve their vocabulary and content comprehension. Most studies so far have used short clips and have not explored in much detail the effects of individual differences (IDs) such as aptitude, listening skills and vocabulary size. This paper aims…
Descriptors: Language Proficiency, Vocabulary Development, Television, Programming (Broadcast)
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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