优化根据学生要求定制的学习分析仪表板

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rotem Israel-Fishelson;Dan Kohen-Vacs
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引用次数: 0

摘要

教育仪表盘使学生能够监控和反思学习过程中的学习成绩和管理方面的问题。有时,教育机构会利用学习管理系统或学生信息台中的信息整合仪表盘。学习分析提供了丰富这些仪表盘的方法,让学生接触到监控数据以外的分析信息,如智能建议。尽管仪表盘种类繁多,但以学生为中心的视角以及使仪表盘适应学生个人需求的能力并不常见。为了识别和支持希望跟踪其学习常规的学生的需求,将学生定位为这些仪表盘设计过程的核心是非常重要的。本文介绍了我们研究的一个新阶段,以扩大我们对学生在使用高级形式的学习分析仪表板时监控其教育常规和偏好的需求的理解。我们提出了一种设计教育仪表盘的优化方法。从这个意义上说,我们研究并寻求整合学生最需要的组件。因此,我们既要考虑组件的类型,也要考虑它们在定制仪表板中的排列。我们的研究成果揭示了学生在使用这些仪表盘时的趋势和习惯。它还为优化实施符合学生真实要求的学习分析仪表盘提供了重要的见解和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Optimization of Learning Analytics Dashboards That are Customized for the Students’ Requirements
Educational dashboards enable students to monitor and reflect on academic performance and administrative aspects of the learning processes. Occasionally, educational institutions integrate dashboards using the information found in their learning management systems or their students' information desks. Learning analytics offers ways to enrich these dashboards and expose students to analyzed information beyond the monitored data provided such as smart recommendations. Despite the large variety of dashboards, the students’ centric perspective and the ability to adapt the dashboard to their personal needs is not a common practice. To identify and support the needs of students who wish to track aspects of their learning routine, it is very important to position the students at the core of the design process of these dashboards. This article presents a new phase in our research to expand our understanding of the students' needs in monitoring their educational routines and preferences while using an advanced form of a learning analytics dashboard. We propose an optimized approach for designing educational dashboards. In this sense, we examine and seek to integrate the components that are prominently required by students. Hence, we address both the type of components as well as their arrangement within the customized dashboard. The outcomes of our efforts reveal findings concerning students’ trends and habits when exploiting these dashboards. It also offers pivotal insights and recommendations for the optimized implementation of learning analytics dashboards that are aligned with the students’ authentic requirements.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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