计算机支持的协作学习和评估

J. Gikandi
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引用次数: 0

摘要

本章的重点是重新解释基于协作学习视角的最新研究结果。本研究采用案例研究设计,对两门在线研究生课程进行了集体案例研究。在线观察,分析存档的课程内容和访谈记录被用作数据收集技术。对来自多个来源的数据进行了三角测量。在数据分析中运用定性技术,并结合描述性统计来拓展定性数据的内涵。研究结果表明,社交互动对于促进正规在线教育中有意义的学习至关重要。研究结果进一步表明,继续(在职)教育中生产性社区的发展是一个渐进的过程,从兴趣社区到实践社区共经历了四个阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer-Supported Collaborative Learning and Assessment
This chapter focuses on re-interpreting the findings of a recent study based on collaborative learning perspectives. The study utilized a case study design in which two online postgraduate courses were investigated as a collective case study. Online observations, analysis of the archived course content and interview transcripts were used as data collection techniques. The data from multiple sources were triangulated. Qualitative techniques were used in data analysis and descriptive statistics were integrated to extend the meaning of qualitative data. The findings of the study suggest that social interactivity is pivotal to facilitating meaningful learning in formal online education. The findings further illustrate that development of productive communities in continuing (in-service) education is a gradual process that evolves through four stages starting from community of interest to community of practice.
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