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Schneider, Barbara; Krajcik, Joseph; Lavonen, Jari; Salmela-Aro, Katariina; Broda, Michael; Spicer, Justina; Bruner, Justin; Moeller, Julia; Linnansaari, Janna; Juuti, Kalle; Viljaranta, Jaana – Journal of Research in Science Teaching, 2016
This study explores how often students are engaged in their science classes and their affective states during these times, using an innovative methodology that records these experiences "in situ". Sampling a subset of high schools in the U.S. and Finland, we collected over 7,000 momentary responses from 344 students over the course of a…
Descriptors: Educational Environment, Foreign Countries, Science Instruction, High School Students
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Cheng, Kun-Hung; Hou, Huei-Tse; Wu, Sheng-Yi – Interactive Learning Environments, 2014
In the social interactions among individuals of learning communities, including those individuals engaged in peer assessment activities, emotion may be a key factor in learning. However, research regarding the emotional response of learners in online peer assessment activities is relatively scarce. Detecting learners' emotion when they make…
Descriptors: Online Courses, Electronic Learning, Peer Evaluation, Emotional Response
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Celik, Mehmet – Hacettepe University Journal of Education, 2004
Given the important role of the affective variables in the process of learning, this paper examines ways of overcoming negative effects (i.e. anxiety, boredom) of the contextual factors. Exemplifying the uses of humor through context-specific, purpose-driven jokes, it maintains that humor can be utilized to produce a resourceful, encouraging and…
Descriptors: Humor, Learning Processes, Suggestopedia, English (Second Language)
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