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Gediminas Merkys; Sigitas Vaitkevicius; Daiva Bubeliene; Vaino Brazdeikis – Informatics in Education, 2025
The paper presents graduates results in computer science testing according to their dependence from students' gender, family socioeconomic status, and the type of prosperity of the locality of the school in Lithuania. It was found that the gender of the graduate does not affect the results in computer science test. However, the girls who chooses…
Descriptors: Foreign Countries, Computer Science Education, Gender Differences, Socioeconomic Status
Khenner, Evgeniy; Semakin, Igor – ACM Transactions on Computing Education, 2014
This article deals with some aspects of studying Informatics in Russian schools. Those aspects are part of the "third dimension" of the Darmstadt model (they are also projected on the other two dimensions of this model) and include evolution of the subject, regulatory norms conforming to the Federal Educational Standards, the learning…
Descriptors: Foreign Countries, Information Technology, Computer Science Education, Secondary Education
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers and posters of the 13th International Conference on Mobile Learning 2017, which was organised by the International Association for Development of the Information Society (IADIS), in Budapest, Hungary, April 10-12, 2017. The Mobile Learning 2017 Conference seeks to provide a forum for the presentation and…
Descriptors: Conference Papers, Telecommunications, Handheld Devices, Educational Technology
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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