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Exploring the transactive relationships of influence factors for online asynchronous learning transactive memory
Jiao Zhang1, Min Zhao2, Liang Wang2
1School of Foreign Languages, Dalian Polytechnic University, Dalian, 116034, China.
Heliyon
|September 11, 2024
Summary
This study explores factors influencing Transactive Memory Systems (TMS) in online learning. Findings reveal how group dynamics, individual traits, and knowledge management impact TMS formation for better knowledge sharing.
Area of Science:
- Educational Technology
- Knowledge Management
- Social Psychology
Background:
- Transactive Memory Systems (TMS) enhance learning and knowledge transfer.
- Online asynchronous learning environments present unique challenges for TMS development.
- Understanding factors influencing TMS formation is crucial for effective online education.
Purpose of the Study:
- To construct a conceptual model of TMS formation in online asynchronous learning.
- To identify key factors influencing TMS development, including group dynamics, individual attributes, task interdependence, intellectual silence, and knowledge management.
- To enhance knowledge sharing, collaboration, and knowledge transfer effectiveness in online learning.
Main Methods:
- Development of a conceptual model based on theoretical foundations of TMS.
- Formulation of hypotheses predicting the influence of various factors on TMS formation.
- Empirical data collection via questionnaires from 229 students in Northeast China with online asynchronous learning TMS experience.
- Structural Equation Modeling (SEM) and SPSS statistical analysis to test hypotheses and identify key indicators.
Main Results:
- Each investigated factor demonstrated varying impacts on knowledge management.
- These impacts collectively influence the formation of Transactive Memory Systems (TMS).
- The study identified specific indicators crucial for TMS development in online asynchronous settings.
Conclusions:
- The study provides empirical evidence on the factors shaping TMS in online asynchronous learning.
- Findings offer a nuanced understanding of how individual, group, and task-related elements contribute to effective knowledge management and transfer.
- The research informs the design and optimization of online learning environments to foster robust TMS.
Keywords:
Influence factorsOnline asynchronous learningStructural equation modelingTransactive memory systemTransactive relationshipsMore Related Videos
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