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Zheng, Lanqin; Long, Miaolang; Niu, Jiayu; Zhong, Lu – International Journal of Computer-Supported Collaborative Learning, 2023
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated group learning engagement via deep neural network models in a computer-supported collaborative…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Automation
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Yoder, Michele E. – Management Teaching Review, 2023
Porter's five forces model is an important tool in strategic management. Strategy students use the five forces model to conduct industry analysis by evaluating the external conditions that impact firms in a given industry. The five forces model is deceptively simple, yet it encompasses important nuances that students sometimes struggle to fully…
Descriptors: Industry, Models, Educational Games, Business Education
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Miller, Katharine E. – Communication Teacher, 2023
Courses: Introduction to Corporate Communication, Introduction to Organizational Communication, Topics in Organizational Communication. Objectives: This activity aims to give students an opportunity and space to critique and examine organizational activities and business practices, and how this may impact students' future employment or consumer…
Descriptors: Aggression, Racism, Intercultural Communication, Interpersonal Communication
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Richters, Constanze; Stadler, Matthias; Radkowitsch, Anika; Schmidmaier, Ralf; Fischer, Martin R.; Fischer, Frank – Large-scale Assessments in Education, 2023
Background: Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators of diagnostic accuracy and checked whether and how quickly diagnostic accuracy could be predicted from these behavioral…
Descriptors: Prediction, Clinical Diagnosis, Cooperative Learning, Simulation
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Buttle, Avril; Mullaney, Isobelle – International Journal of Art & Design Education, 2023
The aim of this paper is to ascertain the main subject qualities in Junior Cycle (JC) Visual Art (VA) in The Republic of Ireland, and whether these qualities are unique to the subject. The context of JC VA education is outlined through the exploration of its values, aims and objectives as well as investigating the subject's unique qualities. A…
Descriptors: Visual Arts, Art Education, Foreign Countries, Creativity
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Ross, Matthew M. – Journal of Education for Business, 2023
This research examines the relationship between prerequisite algebra knowledge and graduate corporate finance course performance. Standardized math questions designed for an undergraduate introductory finance course also predict quantitative performance metrics among 128 business graduate students. Results demonstrate that prerequisite math…
Descriptors: Graduate Students, Business Administration Education, Mathematics Skills, Cooperative Learning
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Kontorovich, Igor'; Locke, Kim – Digital Experiences in Mathematics Education, 2023
Learning-support system is an umbrella term that we use for digital resources that assign students with mathematical questions and give automatic feedback on the inserted answers. Transitioning between questions and feedback is characteristic to students' work with such systems. We apply the commognitive framework to explore the role of…
Descriptors: Mathematics Skills, Calculus, Cooperative Learning, Learning Management Systems
Barton, Keith C.; Ho, Li-Ching – Phi Delta Kappan, 2023
To expand students' preparation for civic life, many teachers regularly engage students in discussions related to contentious issues. These discussions, however, typically restrict the range of communicative styles allowed and prioritizes disagreements between fixed and competing choices. Keith C. Barton & Li-Ching recommend that educators…
Descriptors: Cooperative Learning, Problem Solving, Discussion, Teaching Methods
Yingbo Ma – ProQuest LLC, 2023
Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…
Descriptors: Cooperative Learning, Models, Interaction, Behavior
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Dirin, Amir; Nieminen, Marko; Laine, Teemu H.; Nieminen, Lassi; Ghalebani, Leila – Education and Information Technologies, 2023
Emotional contagion is an intriguing subject in many academic fields, and it is also relevant in collaborative learning where learners share a physical or virtual space. We aimed at exploring the possibilities of motivating, fascinating, and experiential elements of virtual reality (VR) in a collaborative learning context, with a focus on…
Descriptors: Computer Simulation, Cooperative Learning, Psychological Patterns, College Freshmen
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Ma, Ning; Gong, Kaixin; Zeng, Min – Journal of Computer Assisted Learning, 2023
Background: Collaborative learning has become a crucial approach to promoting online in-service teacher training. Appropriate peer recommendation for group composition is the basis to ensure productive learning outcomes of collaborative learning. However, there is a lack of understanding of the impact of peer recommendation on in-service teachers'…
Descriptors: Teachers, Cooperative Learning, Electronic Learning, Faculty Development
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Hawlitschek, Anja; Berndt, Sarah; Schulz, Sandra – Computer Science Education, 2023
Background and Context: Pair programming is an important approach to fostering students' programming and collaborative learning skills. However, the empirical findings on pair programming are mixed, especially concerning effective instructional design. Objective: The objective of this literature review is to provide lecturers with systematic…
Descriptors: Cooperative Learning, Programming, Computer Science Education, College Students
Berri, Sarah Berri – ProQuest LLC, 2023
Previous research has shown the importance of regulating learning and collaboration in instructional design. Moreover, learners often struggle to regulate their learning and collaborate effectively, which can hinder knowledge acquisition and academic achievements. To address these challenges, the Understand, Plan, Monitor, and Reflect (UPMR)…
Descriptors: Electronic Learning, Active Learning, Student Projects, Cooperative Learning
Zhiyuan Li – ProQuest LLC, 2023
Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…
Descriptors: Self Management, Learning Strategies, Supervision, Task Analysis
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André Moura; Ann MacPhail; Amândio Graça; Paula Batista – Journal of Teaching in Physical Education, 2024
Purpose: Improving students' learning is dependent on students' participation, meaningfulness, and value of the teaching--learning process. This study explores students' learning experiences when undertaking the role of co-constructors and co- and self-regulators in a cooperative learning environment. Methods: The study included 110 school…
Descriptors: Physical Education, Cooperative Learning, Preservice Teachers, Student Experience
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