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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Collaborative learning is an approach to education that emphasizes working together in groups to achieve shared learning objectives. Skill identification is a key aspect of collaborative learning as it enables group members to assign tasks and responsibilities that leverage each other's strengths and expertise. In this research work, we will explore different strategies for identifying skills in collaborative learning. One strategy for skill identification is self-assessment. Group members can reflect on their own experiences, expertise, and personal qualities that may be useful in a collaborative learning environment. This strategy is useful for individuals who may be less comfortable sharing their skills with others and can help each member gain a better understanding of their own strengths and weaknesses. By actively listening to each other and sharing knowledge and perspectives, group members can identify areas where each person has expertise and can contribute to the group's learning objectives. This strategy can help members build a shared understanding of the group's strengths and can facilitate effective collaboration. Assignments and projects can provide opportunities for members to showcase their skills and strengths. By observing each other's work and contributions to the project, the group can identify each member's strengths and assign tasks that play to those strengths. This strategy can help members feel valued and appreciated for their unique skills and expertise.
Keyword
Collaborative learning groups; Need for cognition; Core self-evaluations; Group discussion quality; Group performance;
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