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Exploring college students' cognitive processing patterns during a collaborative problem-solving teaching activity integrating Facebook discussion and simulation tools

机译:结合Facebook讨论和模拟工具的协作式解决问题教学活动,探索大学生的认知处理模式

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Simulation and manipulation play vital roles in teaching procedural knowledge in science, technology, engineering, and mathematics (STEM) education. However, most studies in these fields have only focused on learning effectiveness rather than on students' collaborative problem-solving (CPS) processes and cognitive processing patterns in problem-solving activities. This paper aims to analyze learners' cognitive processing patterns in a CPS teaching activity that integrates Facebook discussion tools and simulation-based teaching software. The participants in this study included 45 students from the College of Management at a university in northern Taiwan. These students took an elective course titled "Introduction to the Network." This study used a quantitative content analysis (QCA) to code the online discussions and to explore the represented cognitive levels. Next, a lag sequential analysis (LSA) was conducted to analyze the coding results of the QCA to assess the behavioral patterns during the discussion process. The results indicate that students' network troubleshooting abilities improved over the course of the study. The learners' discussion patterns and cognitive levels during the activity are analyzed and discussed here. Differences in sequential cognitive processing patterns were found between the "discussion-centered" and "manipulation-centered" groups. The findings of this research may serve as a reference for instructors of STEM classes when integrating social networking services (e.g., Facebook) and CPS when designing virtual learning activities to improve learning effectiveness and increase cognitive levels.
机译:模拟和操纵在科学,技术,工程和数学(STEM)教育中的过程知识教学中起着至关重要的作用。但是,这些领域中的大多数研究仅关注学习效果,而不是学生在解决问题活动中的协作式解决问题(CPS)过程和认知处理模式。本文旨在分析CPS教学活动中学习者的认知处理模式,该活动将Facebook讨论工具和基于仿真的教学软件集成在一起。这项研究的参与者包括台湾北部一所大学的管理学院的45名学生。这些学生参加了名为“网络简介”的选修课。这项研究使用定量内容分析(QCA)对在线讨论进行编码,并探讨代表的认知水平。接下来,进行了滞后顺序分析(LSA)以分析QCA的编码结果,以评估讨论过程中的行为模式。结果表明,在学习过程中,学生的网络故障排除能力有所提高。在此分析和讨论学习者在活动中的讨论方式和认知水平。在“以讨论为中心”和“以操作为中心”的小组之间发现了顺序认知加工模式的差异。在设计虚拟学习活动以提高学习效果和提高认知水平时,将社交网络服务(例如Facebook)和CPS集成在一起时,这项研究的结果可为STEM课程的讲师提供参考。

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