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Elina Hannula; Kati Sormunen; Kai Hakkarainen; Tiina Korhonen – Education and Information Technologies, 2025
Transdisciplinary invention projects based on traditional and digital fabrication technologies engage young people in designing and making complex artifacts and constitute a central aspect of future-oriented education. In Finland, comprehensive school students (aged 7-15) from all over the country can practice their inventive skills in the annual…
Descriptors: Student Experience, Student Projects, Intellectual Property, Programming
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
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

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