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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
Rissanen, Inkeri; Kuusisto, Elina; Hanhimäki, Eija; Tirri, Kirsi – Scandinavian Journal of Educational Research, 2018
This qualitative case study examines teachers' implicit meaning systems built around their core beliefs on the malleability of human qualities. Previous research has demonstrated the influence of students' implicit theories on motivation and achievement and has presented successful interventions for students. However, research on teachers'…
Descriptors: Case Studies, Systems Approach, Recall (Psychology), Interviews
Leino, Anna-Liisa – 1980
A pilot study was conducted to determine effective methods for testing students' learning processes. The theoretical framework within which learning processes were investigated is based on the B-P-E paradigm. This states that "Behavior (B) is a function of the Person (P) and the Environment (E)". After reviewing research done in related…
Descriptors: Academic Ability, Academic Achievement, Cognitive Style, Conceptual Tempo
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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