Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 12 |
Since 2006 (last 20 years) | 25 |
Descriptor
Source
Journal of Computer Assisted… | 35 |
Author
Hoyles, C. | 2 |
Liu, Chen-Chung | 2 |
Andy Nguyen | 1 |
Argelagós, E. | 1 |
Asma Hadyaoui | 1 |
Carr, Tony | 1 |
Chang, Ming-Hua | 1 |
Chen, W. | 1 |
Cheng, Chia-Hui | 1 |
Cheung, W. C. | 1 |
Chiocchio, F. | 1 |
More ▼ |
Publication Type
Journal Articles | 35 |
Reports - Research | 24 |
Reports - Evaluative | 6 |
Reports - Descriptive | 4 |
Books | 1 |
Information Analyses | 1 |
Opinion Papers | 1 |
Education Level
Higher Education | 12 |
Postsecondary Education | 10 |
Secondary Education | 3 |
High Schools | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Audience
Practitioners | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ridwan Whitehead; Andy Nguyen; Sanna Järvelä – Journal of Computer Assisted Learning, 2024
Background: The necessity of supporting socially shared regulation of learning (SSRL) for learners is widely acknowledged as a crucial element for successful collaborative learning (CL). However, inherent challenges are presented for the observation, study, and support of SSRL. Non-verbal behaviours have been identified as a potentially rich…
Descriptors: Nonverbal Communication, Eye Movements, Secondary School Students, Group Activities
Zamecnik, Andrew; Kovanovíc, Vitomir; Joksimovíc, Srécko; Grossmann, Georg; Ladjal, Djazia; Marshall, Ruth; Pardo, Abelardo – Journal of Computer Assisted Learning, 2023
Background: Maintaining cohesion is critical for teams to achieve shared goals and performance outcomes within a work-integrated learning (WIL) environment. Cohesion is an emergent state that develops over time, representing the synchrony of different behavioural interactions. Cohesive teams will exhibit such phenomena by their temporal…
Descriptors: Data Use, Group Dynamics, College Students, Cooperative Learning
Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
Asma Hadyaoui; Lilia Cheniti-Belcadhi – Journal of Computer Assisted Learning, 2024
Background: Project-based collaborative learning (PBCL) is a technique that supports knowledge and skill development through complex, real-world projects. Understanding factors that influence group performance in PBCL, such as gender composition, is crucial. Objectives: This study investigates the impact of gender composition on group performance…
Descriptors: Gender Differences, Skill Development, Cooperative Learning, Active Learning
Dana Kube; Sebastian Gombert; Nathalie John; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender and gender diversity are group features affecting social interaction and are critical for gender-inclusive and equitable education. As such, the role of gender and gender diversity is of particular relevance to computer-supported collaborative learning (CSCL). However, up until now, research on this topic in CSCL remains scarce.…
Descriptors: Sexual Identity, Sex Role, Gender Differences, Gender Issues
Liu, Chen-Chung; Lin, Tsun-Wei; Cheng, Chia-Hui; Wen, Cai-Ting; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Tsai, Meng-Jung; Lin, Hung-Ming; Hwang, Fu-Kwun – Journal of Computer Assisted Learning, 2022
Background: Collaborative computer simulations are available on some online platforms which support students at distributed locations to synchronously collaborate on the simulations to learn sciences. However, how students collaborate with each other in collaborative simulations is not clear. Objectives: The aim of this study was to investigate…
Descriptors: Computer Simulation, Cooperative Learning, Electronic Learning, Student Attitudes
Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
Pietarinen, Tarja; Vauras, Marja; Laakkonen, Eero; Kinnunen, Riitta; Volet, Simone – Journal of Computer Assisted Learning, 2019
This study examined affect during high school students' face-to-face collaborative inquiry learning in science, supported by the web-based software Virtual Baltic Sea Explorer. Self-reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of…
Descriptors: High School Students, Inquiry, Cooperative Learning, Educational Technology
Spikol, Daniel; Ruffaldi, Emanuele; Dabisias, Giacomo; Cukurova, Mutlu – Journal of Computer Assisted Learning, 2018
Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…
Descriptors: Student Projects, Active Learning, Teaching Methods, Group Dynamics
Li, S. C.; Pow, J. W. C.; Cheung, W. C. – Journal of Computer Assisted Learning, 2015
This study aims to examine how students' learning trajectories progress in an online social annotation environment, and how their cognitive processes and levels of interaction correlate with their learning outcomes. Three different types of activities (cognitive, metacognitive and social) were identified in the online environment. The time…
Descriptors: Interaction, Computer Mediated Communication, Metacognition, Regression (Statistics)
Lambic, Dragan; Lazovic, Bojana; Djenic, Aleksandar; Maric, Miroslav – Journal of Computer Assisted Learning, 2018
In this paper, a new approach for the formation of four-member collaborative learning groups is presented. Group formation is presented by the mathematical optimization problem. Based on the proposed approach and the variable neighbourhood search (VNS) algorithm, the application that solves the presented problem and provides the appropriate…
Descriptors: Heuristics, Cooperative Learning, Group Dynamics, Interpersonal Relationship
Goggins, S. P.; Galyen, K. D.; Petakovic, E.; Laffey, J. M. – Journal of Computer Assisted Learning, 2016
This exploratory study focuses on the design and evaluation of teaching analytics that relate social learning structure with performance measures in a massive open online course (MOOC) prototype environment. Using reflexive analysis of online learning trace data and qualitative performance measures we present an exploratory empirical study that:…
Descriptors: Online Courses, Electronic Learning, Group Dynamics, Social Structure
Ting, M.-Y.; Kuo, B.-C. – Journal of Computer Assisted Learning, 2016
The purpose of this study was to investigate the effect of a calculus system that was designed using an adaptive dynamic assessment (DA) framework on performance in the "finding an area using an integral". In this study, adaptive testing and dynamic assessment were combined to provide different test items depending on students'…
Descriptors: Calculus, Alternative Assessment, Models, Test Items
Kirschner, P. A.; Kreijns, K.; Phielix, C.; Fransen, J. – Journal of Computer Assisted Learning, 2015
Most distributed and virtual online environments for and pedagogies of computer-supported collaborative learning (CSCL) neglect the social and social-emotional aspects underlying the group dynamics of learning and working in a CSCL group. These group dynamics often determine whether the group will develop into a well-performing team and whether a…
Descriptors: Online Courses, Virtual Classrooms, Computer Uses in Education, Cooperative Learning
Pifarré, M.; Cobos, R.; Argelagós, E. – Journal of Computer Assisted Learning, 2014
This paper studies how the integration of group awareness tools in the knowledge management system called KnowCat (Knowledge Catalyser), which promotes collaborative knowledge construction, may both foster the students' perception about the meaningfulness of visualization of group awareness information and promote better collaborative…
Descriptors: Knowledge Management, Cooperation, Student Attitudes, Group Dynamics