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Flynn, Erin; Motiff, Marisa; Mueller, Megan K.; Morris, Kevin N. – International Journal of Behavioral Development, 2023
Emotion regulation is a key developmental skillset, but many existing measures rely on self-report or laboratory-based measurement approaches. This study aimed to develop a training and implementation protocol for the widely used Facial Expression Coding System (FACES) to be used in real-world settings with pre-recorded video data. A revised…
Descriptors: Middle School Students, Special Education, Nonverbal Communication, Training
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Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Wilson, Amy Alexandra; Boatright, Michael D.; Landon-Hays, Melanie – Journal of Literacy Research, 2014
Framed in theories of social semiotics, this descriptive multiple case study examined six middle school teachers' use of gestures during one school year as they each taught two different subject areas: earth science, language arts, mathematics, and/or social studies. The data, which included field notes and photographs from 354 lessons and 151…
Descriptors: Middle School Teachers, Teaching Methods, Nonverbal Communication, Literacy Education
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Richland, Lindsey Engle – Cognition and Instruction, 2015
Deictic linking gestures, hand and arm motions that physically embody links being communicated between two or more objects in the shared communicative environment, are explored in a cross-cultural sample of mathematics instruction. Linking gestures are specifically examined here when they occur in the context of communicative analogies designed to…
Descriptors: Foreign Countries, Nonverbal Communication, Role, Mathematics Instruction
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
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Hsieh, Ya-Hui; Lin, Yi-Chun; Hou, Huei-Tse – Educational Technology & Society, 2015
Unlike most research, which has primarily examined the players' interest in or attitude toward game-based learning through questionnaires, the purpose of this empirical study is to explore students' engagement patterns by qualitative observation and sequential analysis to visualize and better understand their game-based learning process. We…
Descriptors: Elementary School Students, Learner Engagement, Educational Games, Teaching Methods
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