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David J. Saccardi; David Dockan – Journal of General Music Education, 2025
Music classrooms have incorporated elements of cooperative peer learning for generations. Whether sharing an instrument or composing a song together, peers interact in many meaningful and spontaneous ways. While the principles of peer-assisted learning (PAL) might be familiar to many music teachers, the process and structures of reciprocal peer…
Descriptors: Music Education, Elementary School Students, Peer Teaching, Cooperative Learning
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Tan, Seng Chee; Wang, Xinghua; Li, Lu – Journal of Educational Computing Research, 2022
This study explored the development trajectory of shared epistemic agency in online collaborative learning through epistemic network analysis and lag sequential analysis. It was carried out in a postgraduate course with 14 in-service teachers. Drawing on the online discussion data from six sessions and the participants' academic scores, this study…
Descriptors: Cooperative Learning, Epistemology, Personal Autonomy, Online Courses
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Chang, Seung Ho; Norris, Michael L.; Lee, Jihyun – Strategies: A Journal for Physical and Sport Educators, 2019
Jokgu is a Korean net sport and features both volleyball and soccer skills in a challenge skill and game format. Jokgu provides students with the opportunity to develop health and skill related physical fitness components such as eye-foot coordination, flexibility, the fundamental motor skill of kicking and juggling. In addition, students can…
Descriptors: Team Sports, Physical Education, Physical Fitness, Skill Development
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Auerbach, Anna Jo; Schussler, Elisabeth E. – Journal of College Science Teaching, 2016
Active learning (or learner-centered) pedagogies have been shown to enhance student learning in introductory biology courses. Student collaboration has also been shown to enhance student learning and may be a critical part of effective active learning practices. This study focused on documenting the use of individual active learning and group…
Descriptors: Cooperative Learning, Group Instruction, Active Learning, Introductory Courses
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Morales, Grace; Sensevy, Gérard; Forest, Dominique – Educational Action Research, 2017
In this article we focus on "cooperative engineering", in which teachers and researchers co-design didactic sequences. In the first part of the article, we present cooperative engineering by describing some of the main principles on which it is grounded. The second part is dedicated to a case study, which enables us to illustrate some…
Descriptors: Kindergarten, Cooperative Learning, Cooperation, Engineering
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Flores, Alfinio; Park, Jungeun – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2016
In a course emphasizing interactive technology, 19 students, including 18 mathematics education majors, mostly in their first year, reinvented the definition of limit of a sequence while working in small cooperative groups. The class spent four sessions of 75 minutes each on a cyclical process of guided reinvention of the definition of limit of a…
Descriptors: Technology Uses in Education, Cooperative Learning, Definitions, Innovation
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Pliske, Rebecca M.; Caldwell, Tracy L.; Calin-Jageman, Robert J.; Taylor-Ritzler, Tina – Teaching of Psychology, 2015
We developed a two-semester series of intensive (six-contact hours per week) behavioral research methods courses with an integrated statistics curriculum. Our approach includes the use of team-based learning, authentic projects, and Excel and SPSS. We assessed the effectiveness of our approach by examining our students' content area scores on the…
Descriptors: Research Methodology, Statistics, Program Effectiveness, Integrated Curriculum
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Tortajada-Genaro, Luis Antonio – Journal of Technology and Science Education, 2014
The learning of solving multi-step problems is a relevant aim in chemical education for engineering students. In these questions, after analyzing initial data, a complex reasoning and an elaborated mathematical procedure is needed to achieve the correct numerical answer. However, many students are able to effectively use algorithms even with a…
Descriptors: Chemistry, Cooperative Learning, Problem Solving, Sequential Approach
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Young, Sarah – Science Scope, 2010
The "What's the "matter" With XOD" activity addresses students' misconceptions and refines their ideas about phases of matter. This activity introduces the characteristics for solids, liquids, and gases, and begins a discussion about physical and chemical changes and how matter can cycle through different phases. Depending on class size and…
Descriptors: Chemistry, Misconceptions, Inquiry, Problem Solving
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Amadio, William J. – American Journal of Business Education, 2009
This paper examines how Team Learning allows students to express themselves through their work. I define expression to include taking ownership of one's work, i.e. working through self-motivation rather than through the dictates of a teacher, and participating in a community of workers. This participation includes working with colleagues on…
Descriptors: Technical Education, Self Expression, Cooperative Learning, Teamwork
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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