用面向学生的学习分析仪表板支持学生代理

IF 2.9 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Learning Analytics Pub Date : 2023-08-10 DOI:10.18608/jla.2023.7729
Anceli Kaveri, Anni Silvola, H. Muukkonen
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引用次数: 0

摘要

学习分析仪表板(LAD)开发因过于数据驱动以及开发人员缺乏对学习分析(LA)非技术方面的理解而受到批评。开发人员解决他们对学习者的理解的能力,以及让学生参与开发过程的系统努力,是创建基于教学的面向学生的仪表盘的核心。然而,关于开发人员对支持LA学生的看法的研究有限。我们研究了跨学科LA开发团队(IDT)对支持学生代理的看法和意图,以及面向学生的LAD开发过程。在社会认知理论框架的支持下,对访谈(N=12)进行了定性内容分析,以分析IDT对学生代理的看法。IDT成员对学生代理有不同的概念,但一致认为,它表现在战略学习进展和计划,以及积极解释和使用基于LA的反馈中。IDT成员对学生参与法援发展过程有不同意见。提到了IDT内部的沟通挑战和有限的资源,阻碍了开发工作。这项研究的结果强调了促进IDT成员之间沟通的重要性,即指导教学设计原则和在LA发展过程中系统地使用教育概念。
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Supporting Student Agency with a Student-Facing Learning Analytics Dashboard
Learning analytics dashboard (LAD) development has been criticized for being too data-driven and for developers lacking an understanding of the nontechnical aspects of learning analytics (LA). The ability of developers to address their understanding of learners as well as systematic efforts to involve students in the development process are central to creating pedagogically grounded student-facing dashboards. However, limited research is available about developer perceptions on supporting students with LA. We examined an interdisciplinary LA development team’s (IDT) perceptions of and intentions to support student agency, and the student-facing LAD development process. Qualitative content analysis supported by a social cognitive theory framework was conducted on interviews (N = 12) to analyze the IDT’s perceptions of student agency. IDT members had differing conceptions of student agency but agreed that it manifests in strategic study progression and planning, as well as in active interpretation and use of LA-based feedback. IDT members had differing views on student involvement in the LAD development process. Communication challenges within an IDT and limited resources were mentioned, impeding development work. The results of this study highlight the importance of fostering communication among IDT members about guiding pedagogical design principles and the systematic use of educational concepts in LA development processes.
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来源期刊
Journal of Learning Analytics
Journal of Learning Analytics Social Sciences-Education
CiteScore
7.40
自引率
5.10%
发文量
25
期刊最新文献
Generative AI and Learning Analytics NLP-Based Management of Large Multiple-Choice Test Item Repositories Session-Based Time-Window Identification in Virtual Learning Environments Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels Bayesian Generative Modelling of Student Results in Course Networks
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