Abstract

In an increasingly expanding higher education system, students have routinely said that they don’t get enough access to feedback to support their learning. While this feedback loop is recognised as a critical issue, the growing use of technology as part of teaching and learning could provide some solutions to this problem. The emergence of the field of learning analytics has the potential to provide mechanisms for reducing some of the concerns students have about receiving feedback. However, a greater understanding of how learning analytics can be used to provide meaningful assessment feedback to students is needed. This paper presents the initial findings from a study that investigated students’ preferences for the delivery of assessment feedback to improve their learning. The findings show that there is a diversity of student perspectives on what feedback is most useful for their learning which is influenced by the type of assessment, the discipline in which the assessment takes place, the year level of the student and the ability to compare performance to others. The outcomes of this study provide evidence of what students want when it comes to analytics-based feedback which can be used to inform the development of guidelines for how such feedback can be designed and delivered in higher education.

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