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Download full textDe Coninck, David; d'Haenens, Leen – Comunicar: Media Education Research Journal, 2023
Previous research on gender differences in young people's digital development has shown that boys and girls differ in frequency and type of internet use, but vital gaps in the literature remain. In recent years, gender is increasingly considered to be a multidimensional concept with a growing number of young people identifying as non-binary (i.e.…
Descriptors: Gender Differences, Technological Literacy, LGBTQ People, Internet
Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19
Direct linkKurhila, Jaakko; Vihavainen, Arto – ACM Transactions on Computing Education, 2015
The Finnish national school curriculum, effective from 2004, does not include any topics related to Computer Science (CS). To alleviate the problem that school students are not able to study CS-related topics, the Department of Computer Science at the University of Helsinki prepared a completely online course that is open to pupils and students in…
Descriptors: Foreign Countries, Online Courses, Computer Science, Computer Science Education
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
