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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
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Damsa, Crina; Muukkonen, Hanni – Research Papers in Education, 2020
This paper elaborates on the notion of object-oriented collaborative learning by building on empirical material from two case studies in higher education. Prior empirical findings show how knowledge objects are evolving entities, shaped by the interactions between participants, and how students learn from engaging in knowledge practice that…
Descriptors: Instructional Design, Cooperative Learning, Case Studies, Higher Education
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Nevalainen, Seppo; Sajaniemi, Jorma – Journal of Educational Computing Research, 2008
When visualization tools utilized in computer programming education have been evaluated empirically, the results have remained controversial. To address this problem, we have developed a model of short-term effects of program animation, and used it in a series of experiments. In the current experiment, we varied visual representation of an…
Descriptors: Computer Assisted Instruction, Computer Graphics, Animation, Programming
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