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Direct linkAdiv Gal – Education, Citizenship and Social Justice, 2025
This qualitative study examined the perceptions of 42 fifth-grade students (ages 11-12) along with 8 staff members, 9 ornithologists, and 10 high-tech experts who participated in a hackathon event. This was the culmination of a learning process designed to find environmental, technological, and humane solutions to the competition between the…
Descriptors: Computer Science, Grade 5, Elementary School Students, Group Activities
Download full textEyuboglu, Fatma Aycan Binay; Yilmaz, Fatma Gizem Karaoglan – Education Quarterly Reviews, 2022
Individuals may encounter many negativities due to the misuse of computers and the Internet. Children suffer the most from these negativities. This situation necessitates parents who always protect and stand by their children, to become knowledgeable about the safe use of computers and the Internet. In this study, we examined the opinions of the…
Descriptors: Parent Attitudes, Internet, Computer Uses in Education, Child Safety
Sun, Jerry Chih-Yuan; Kuo, Cian-Yu; Hou, Huei-Tse; Lin, Yu-Yan – Educational Technology & Society, 2017
The purposes of this study were to provide a game-based anti-phishing lesson to 110 elementary school students in Taiwan, explore their learning behavioral patterns, and investigate the effects of the flow states on their learning behavioral patterns and learning achievement. The study recorded behaviour logs, and applied a pre- and post-test on…
Descriptors: Educational Games, Electronic Learning, Educational Technology, Elementary School Students
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
