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Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
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Louca, Loucas T.; Zacharia, Zacharias C.; Michael, Michalis; Constantinou, Constantinos P. – Journal of Educational Computing Research, 2011
The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based…
Descriptors: Foreign Countries, Programming, Classification, Student Evaluation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection