“归属分析”:一个建议

Lisa-Angelique Lim, S. Buckingham Shum, P. Felten, Jennifer Uno
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引用次数: 0

摘要

众所周知,学生的归属感与成功过渡到高等教育有关,还与一系列积极成果有关,包括提高所有学生的学习能力、幸福感和成就。2019冠状病毒病大流行进一步凸显了归属感的重要性,因为越来越多的人转向在线学习,这凸显了在在线环境中监测和支持学生归属感的挑战。一个重大的挑战在于归属的争议性,以及它的复杂性——学生的归属体验是动态的和背景的。在创建一个连接归属感和学习分析领域的新议程时,我们提出了“归属感分析”的概念,以解决跟踪学生归属感的挑战。我们通过讨论学习分析领域的进步如何表明该领域探索如何利用数字痕迹数据、叙述、文本数据或组合来深入了解归属感的持续体验,从而支持归属感的巨大潜力,来呈现归属感的新兴景观。最后,我们向感兴趣的研究人员提出了一系列开放的问题,以推进归属分析领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Belonging Analytics”: A Proposal
It is well-established that a student’s sense of belonging is associated with successful transition into higher education, along with a raft of positive outcomes including enhanced learning, well-being, and attainment for all students. The importance of belonging was further heightened by the Covid-19 pandemic, as the increased shift to online learning highlighted the challenges of monitoring and supporting student belonging in online settings. A significant challenge lies in the contested nature of belonging, as well as its complexity – students’ experience of belonging is both dynamic and contextual. In creating a new agenda connecting the fields of belonging and learning analytics, we propose the idea of “belonging analytics” to address the challenge of tracking students’ belonging. We present the emerging landscape of belonging by discussing how the advancements in the learning analytics field indicate great potential for the field to explore how digital trace data, narratives, textual data, or a combination, could be harnessed to gain insights into the ongoing experience of belonging, and consequently, to support belonging. We conclude with a set of open questions to interested researchers, to advance the field of belonging analytics.
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