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Eliza L. Congdon; Elizabeth M. Wakefield; Miriam A. Novack; Naureen Hemani-Lopez; Susan Goldin-Meadow – Cognitive Science, 2024
Gestures--hand movements that accompany speech and express ideas--can help children learn how to solve problems, flexibly generalize learning to novel problem-solving contexts, and retain what they have learned. But does it matter who is doing the gesturing? We know that producing gesture leads to better comprehension of a message than watching…
Descriptors: Nonverbal Communication, Predictor Variables, Learning Processes, Generalization
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Kaylee Fantin-Hardesty; Rachel Tremaine; Jocelyn Rios; Hortensia Soto – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Student engagement is an impactful component of student experience in mathematics classrooms and can shape academic and affective outcomes. The measurement of engagement in classroom settings has been limited to self-report measures or observational frameworks which privilege verbal participation. By conducting a microanalysis of two students'…
Descriptors: Undergraduate Students, College Faculty, Mathematics Instruction, College Mathematics
Harris, Stephen – 1979
Aboriginal learning contexts are nonformal and are divided into 15 learning style characteristics (such as present-time orientation, authority, personal independence, and right to know) and 5 rules of interpersonal communication (right to speak, absence of interpersonal debate, avoidance of speaking roughly, avoidance of verbal confrontation, and…
Descriptors: Aboriginal Australians, Cognitive Style, Cultural Context, Foreign Countries
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Johnson-Gentile, Kay; And Others – Journal of Educational Computing Research, 1994
Describes a study that investigated the effects of computer and noncomputer environments on fifth- and sixth-grade students' learning of geometric motions. The use of LOGO and the treatment of experimental and control groups are discussed, and the results of immediate and delayed posttests are reviewed. (38 references) (LRW)
Descriptors: Analysis of Variance, Comparative Analysis, Computer Assisted Instruction, Elementary Education
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