Joining Informal Learning in Online Knowledge Communities and Formal Learning in Higher Education: Instructional Design and Evaluation of a Blended-Learning Seminar with Learning Analytics Support

IxD&A Pub Date : 2019-12-20 DOI:10.55612/s-5002-043-006
Nicolae Nistor, M. Dascalu, Stefan Trausan-Matu
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引用次数: 1

Abstract

The use of online knowledge communities (OKCs) as informal learning environments in connection with formal learning encounters two main issues: the learning guidance issue, and the newcomer integration issue. While the former can be solved by instructional design, the latter is still open and may be solved by Social Learning Analytics (SLA). This paper proposes B-LABS (Blogs and Learning Analytics Based Seminar), a higher education seminar with a formal component as a face-to-face seminar, and an informal component comprising learning in OKCs. B-LABS was carried out with N= 65 undergraduate students. SLA tools were employed to select responsive OKCs that were likely to integrate newcomers. The students successfully followed the B-LABS script; learning outcomes included students’ insight in mathematics didactics, and knowledge of OKC specific educational approaches. Student acceptance of the learning environment was predicted by performance expectancy and perceived social influence. Future development includes refining functions predicting the likeliness of OKC newcomer integration.
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加入在线知识社区中的非正式学习和高等教育中的正式学习:有学习分析支持的混合学习研讨会的教学设计和评估
前者可以通过教学设计来解决,后者仍然是开放的,可以通过社会学习分析(SLA)来解决。本文提出了B-LABS(博客和基于学习分析的研讨会),这是一个高等教育研讨会,其正式组成部分是面对面的研讨会,非正式组成部分包括OKCs的学习。B-LABS以N= 65名本科生为研究对象。使用SLA工具来选择可能整合新来者的响应性okc。学生们成功地遵循了B-LABS的脚本;学习成果包括学生对数学教学的洞察力,以及对俄克拉荷马州立大学具体教育方法的了解。学生对学习环境的接受程度可通过预期表现和感知到的社会影响来预测。未来的发展包括改进预测OKC新人整合可能性的功能。
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