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Maria Bempeni; Stavroula Poulopoulou; Xenia Vamvakoussi – Online Submission, 2021
In the present study, we tested the hypotheses that: a) there are individual differences in secondary students' conceptual and procedural fraction knowledge, and b) these differences are predicted by students' approach (deep vs. surface) to mathematics learning. We used two instruments developed and evaluated for the purposes of the study which…
Descriptors: Mathematics Instruction, Teaching Methods, Prediction, Learning Processes
Hirschi, Andreas – Journal of Vocational Behavior, 2011
Developing career-choice readiness is an important task in adolescence, but current theory and research has provided a rather static view of the phenomenon. The present study investigated the development of career-choice readiness among a group of 325 Swiss students assessed four times every 5 months from seventh through eighth grade. A…
Descriptors: Career Choice, Occupational Information, Self Efficacy, Individual Differences
Yli-Piipari, Sami; Leskinen, Esko; Jaakkola, Timo; Liukkonen, Jarmo – Research Quarterly for Exercise and Sport, 2012
In this study we examined adolescents' physical activity (PA) stability as well as individual differences in PA across grades 7-9. In addition, we tested the predictive role of adolescents' self-determination and goal orientations in physical education at grade 6 in relation to their PA development. Adolescents' (N = 812) self-reported PA was…
Descriptors: Motivation, Physical Activity Level, Adolescents, Junior High School Students
Levpuscek, Melita Puklek; Zupancic, Maja; Socan, Gregor – Journal of Early Adolescence, 2013
The study examined individual factors and social factors that influence adolescent students' achievement in mathematics. The predictive model suggested direct positive effects of student intelligence, self-rated openness and parental education on achievement in mathematics, whereas direct effects of extraversion on measures of achievement were…
Descriptors: Mathematics Achievement, Adolescents, Social Influences, Individual Characteristics
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