Zhang Jiao, Zhao Min, Wang Liang
School of Foreign Languages, Dalian Polytechnic University, Dalian, 116034, China.
School of Maritime Economics and Management, Dalian Maritime University, Dalian, 116026, China.
Heliyon. 2024 Aug 21;10(16):e36441. doi: 10.1016/j.heliyon.2024.e36441. eCollection 2024 Aug 30.
Transactive memory system (TMS) makes learning and transferring knowledge easy and efficient. This study has constructed a conceptual model of TMS to reveal the crucial factors influencing the formation of a TMS in online asynchronous learning to foster knowledge sharing and collaboration and enhance knowledge transfer effectiveness. The conceptual model of TMS is built upon theoretical foundations concerning the creation of TMS and the variables influencing them. The study has put forth a set of hypotheses to predict the expected effects of group factors, individual factors, task interdependence, the degree of intellectual silence, and knowledge management on the formation of TMS. In this study, a total of 229 questionnaire data were collected from undergraduate, master's, and doctoral students in Northeast China who had experience with an online asynchronous learning TMS. Structural equation modeling has been employed to identify the key indicators involved and their influence on the formation of TMS. The empirical study was carried out using statistical analysis of SPSS data, with the results indicating that each factor has varying impacts on knowledge management, ultimately affecting the formation of TMS. These findings provide a more nuanced understanding of how these factors shape online asynchronous learning environments.
交互记忆系统（TMS）使知识的学习和传递变得轻松高效。本研究构建了一个TMS概念模型，以揭示影响在线异步学习中TMS形成的关键因素，促进知识共享与协作，提高知识传递效率。TMS概念模型基于有关TMS创建及其影响变量的理论基础构建。该研究提出了一组假设，以预测群体因素、个体因素、任务相互依存性、知识沉默程度和知识管理对TMS形成的预期影响。在本研究中，共收集了来自中国东北地区有在线异步学习TMS经验的本科生、硕士生和博士生的229份问卷数据。采用结构方程模型来识别相关关键指标及其对TMS形成的影响。通过对SPSS数据进行统计分析开展实证研究，结果表明各因素对知识管理有不同影响，最终影响TMS的形成。这些发现为理解这些因素如何塑造在线异步学习环境提供了更细致入微的认识。
