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Hirvonen, Riikka; Aunola, Kaisa; Alatupa, Saija; Viljaranta, Jaana; Nurmi, Jari-Erik – Learning and Instruction, 2013
Although students' affects and behaviors in achievement situations have been shown to be influenced by their previous learning experiences, less is known about how they relate to students' dispositional characteristics, such as temperament. This study examined to what extent children's temperament is related to their affective and behavioral…
Descriptors: Prior Learning, Tests, Anxiety, Inhibition
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
Peer reviewedCoffin, R. J.; MacIntyre, P. D. – Computers in Human Behavior, 1999
This study of college students examined the effects of motivation to learn to use computers, and previous experience with computers, on three computer-related affective states: anxiety, attitudes, and self-efficacy. Discusses gender differences, path analysis, effects on academic performance, and intrinsic versus extrinsic reasons for taking the…
Descriptors: Academic Achievement, Affective Behavior, College Students, Computer Anxiety
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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