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Perceived Relevance of Digital Badges Predicts Longitudinal Change in Program Engagement
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Higashi, Ross; Schunn, Christian D. – Journal of Educational Psychology, 2020
Digital badges have long been assumed to possess motivational qualities that could encourage learners to engage with learning content. However, prior studies have found the effects of badges to be complex, differing by learner, type of badge, and potentially other factors. Qualitative reports suggest that individuals' perceptions of digital badges…
Descriptors: Recognition (Achievement), Learner Engagement, Student Attitudes, Student Motivation
Predicting Women's Persistence in Computer Science- and Technology-Related Majors from High School to College
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Weston, Timothy J.; Dubow, Wendy M.; Kaminsky, Alexis – ACM Transactions on Computing Education, 2020
While demand for computer science and information technology skills grows, the proportion of women entering computer science (CS) fields has declined. One critical juncture is the transition from high school to college. In our study, we examined factors predicting college persistence in computer science- and technology-related majors from data…
Descriptors: Females, Academic Persistence, High School Students, Computer Science Education
Exploring Students Intentions to Study Computer Science and Identifying the Differences among ICT and Programming Based Courses
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Giannakos, Michail N. – Turkish Online Journal of Educational Technology - TOJET, 2014
Computer Science (CS) courses comprise both Programming and Information and Communication Technology (ICT) issues; however these two areas have substantial differences, inter alia the attitudes and beliefs of the students regarding the intended learning content. In this research, factors from the Social Cognitive Theory and Unified Theory of…
Descriptors: Foreign Countries, Computer Science, Computer Science Education, Programming
Exploring the Psychological Predictors of Programming Achievement
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Erdogan, Yavuz; Aydin, Emin; Kabaca, Tolga – Journal of Instructional Psychology, 2008
The main purpose of this study is to explore the predictors of programming achievement. With this aim in mind, the students' success in the programming courses is specified as the dependent variable and creativity, problem solving, general aptitudes, computer attitudes and mathematics achievement are specified as the independent variables. A…
Descriptors: Predictor Variables, Programming, Achievement, Correlation
Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)
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Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries