学习分析仪表板研究忽视了多样性、公平性和包容性

K. Williamson, René F. Kizilcec
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引用次数: 6

摘要

学习分析仪表板(LADs)在高等教育中变得越来越普遍,可以帮助学生、教师和工作人员做出基于数据的决策。尽管对lad的设计和可用性进行了广泛的研究,但很少有研究将其与多样性、公平性和包容性问题联系起来。我们进行了一项重要的文献综述,以解决三个研究问题:LAD研究如何有助于改善多样性、公平性和包容性?lad如何有助于维持或加剧不公平的结果?这个研究领域未来有哪些机会?我们的回顾显示,到目前为止,文献中很少使用lad来解决或改善多样性、公平性和包容性问题。我们认为,将这些问题排除在LAD研究之外并不是一个孤立的疏忽,它有可能加剧高等教育系统内现有的不公平现象。我们认为,可以有意地设计、研究和部署lad,以促进公平的结果,并帮助消除教育中的不公平现象。我们强调了未来LAD研究解决多样性、公平性和包容性问题的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning Analytics Dashboard Research Has Neglected Diversity, Equity and Inclusion
Learning analytic dashboards (LADs) have become more prevalent in higher education to help students, faculty, and staff make data-informed decisions. Despite extensive research on the design and usability of LADs, few studies have examined them in relation to issues of diversity, equity, and inclusion. We conducted a critical literature review to address three research questions: How does LAD research contribute to improving diversity, equity, and inclusion? How might LADs contribute to maintaining or exacerbating inequitable outcomes? And what future opportunities exist in this research space? Our review showed little use of LADs to address or improve issues of diversity, equity, and inclusion in the literature thus far. We argue that excluding these issues from LAD research is not an isolated oversight and it risks reinforcing existing inequities within the higher education system. We argue that LADs can be designed, researched, and deployed intentionally to advance equitable outcomes and help dismantle inequities in education. We highlight opportunities for future LAD research to address issues of diversity, equity, and inclusion.
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