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Trang Nguyen; Henna Vilppu; Ilona Södervik; Mari Murtonen – Online Learning, 2024
Pedagogical training is considered an efficient tool to train university teachers to understand and foster active learning. In Finland, pedagogical training courses are organized periodically at universities, and university teachers participate voluntarily to improve pedagogical knowledge and skills for teaching in higher education settings. This…
Descriptors: Foreign Countries, Universities, College Faculty, Active Learning
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Lindén, Rolf; Laakso, Mikko-Jussi – Journal of Educational Computing Research, 2018
In this article, we report the results of the impact of prior programming knowledge (PPK) on lecture attendance (LA) and on subsequent final programming exam performance in a university level introductory programming course. This study used Spearman's rank correlation coefficient, multiple regression, Kruskal-Wallis, and Bonferroni correction…
Descriptors: Prior Learning, Programming, Computer Science Education, Lecture Method
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Rissanen, A. J. – Science Education International, 2014
Lifelong learning and diverse technical information are challenges for designing curricula. The Finnish National Defence University (NDU) provides undergraduate- and graduate-level courses in academic and military disciplines according to the Bologna process. Technology is one of the major learning lines at the NDU, but basic scientific education…
Descriptors: STEM Education, Educational Strategies, Peer Teaching, Active Learning
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