Student Centred Design of a Learning Analytics System

E. Quincey, C. Briggs, T. Kyriacou, R. Waller
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引用次数: 38

Abstract

Current Learning Analytics (LA) systems are primarily designed with University staff members as the target audience; very few are aimed at students, with almost none being developed with direct student involvement and undertaking a comprehensive evaluation. This paper describes a HEFCE funded project that has employed a variety of methods to engage students in the design, development and evaluation of a student facing LA dashboard. LA was integrated into the delivery of 4 undergraduate modules with 169 student sign-ups. The design of the dashboard uses a novel approach of trying to understand the reasons why students want to study at university and maps their engagement and predicted outcomes to these motivations, with weekly personalised notifications and feedback. Students are also given the choice of how to visualise the data either via a chart-based view or to be represented as themselves. A mixed-methods evaluation has shown that students' feelings of dependability and trust of the underlying analytics and data is variable. However, students were mostly positive about the usability and interface design of the system and almost all students once signed-up did interact with their LA. The majority of students could see how the LA system could support their learning and said that it would influence their behaviour. In some cases, this has had a direct impact on their levels of engagement. The main contribution of this paper is the transparent documentation of a User Centred Design approach that has produced forms of LA representation, recommendation and interaction design that go beyond those used in current similar systems and have been shown to motivate students and impact their learning behaviour.
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以学生为中心的学习分析系统设计
当前的学习分析(LA)系统主要以大学教职员工为目标受众;很少有课程是针对学生的,几乎没有课程是由学生直接参与并进行全面评估的。本文描述了一个HEFCE资助的项目,该项目采用多种方法让学生参与设计、开发和评估面向LA的学生仪表板。LA被整合到4个本科模块中,有169名学生注册。仪表盘的设计采用了一种新颖的方法,试图了解学生想要在大学学习的原因,并将他们的参与度和预测结果映射到这些动机上,每周提供个性化的通知和反馈。学生还可以选择如何通过基于图表的视图或以自己的形式表示数据。一项混合方法评估表明,学生对基础分析和数据的可靠性和信任感是可变的。然而,学生们大多对系统的可用性和界面设计持积极态度,几乎所有注册的学生都与他们的LA进行了互动。大多数学生可以看到洛杉矶系统如何支持他们的学习,并表示这将影响他们的行为。在某些情况下,这对他们的参与水平产生了直接影响。本文的主要贡献是以用户为中心的设计方法的透明文档,该方法产生了超越当前类似系统中使用的LA表示,推荐和交互设计形式,并已被证明可以激励学生并影响他们的学习行为。
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