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Arif Rachmatullah; Nonye Alozie; Hui Yang – International Journal of Science Education, 2024
The current study explores the connection and affordances of talk and gesture in collaborative science problem-solving activities using an emerging analytical approach. A total of 15 three to five-member groups of middle school students participated in a set of clinical collaborative science problem-solving activities. Six groups (three low- and…
Descriptors: Middle School Students, Science Education, Language Usage, Nonverbal Communication
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Brett Criswell; Kadir Demir; Michelle Zoss – Science Education, 2025
This qualitative case study delved into students' understanding and positioning while they participated in solving an authentic, conceptually-based problem in a high-school chemistry class. Verbal and nonverbal cues, particularly gestures, offered broader awareness of students' engagement in sensemaking during the learning experience. The…
Descriptors: High School Students, Chemistry, Science Instruction, Student Attitudes
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Zhang, Ying – Journal of Research in Science Teaching, 2016
This article reports the results of an ethnographic research about the multimodal science discourse in a sixth-grade sheltered classroom involving English Language Learners (ELLs) only. Drawing from the perspective of multimodality, this study examines how science learning is constructed in science lectures through multiple semiotic resources,…
Descriptors: Middle School Teachers, Middle School Students, Grade 6, Ethnography
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