Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts

Xiaojing Duan, Chaoli Wang, Guieswende Rouamba

2022

Abstract

Various educational settings have begun to increasingly leverage the power of data analytics to optimize the learning environment and enhance the learning experience for students. However, despite this effort, significant research gaps still exist around utilizing educational data mining to provide students with actionable feedback and assess the comprehensive impact of data-informed feedback on students. In this study, a learning analytics dashboard was designed to provide students with actionable feedback to advance their self-regulated learning skills and improve their course performance. A rigorous inquiry using mixed methods was also conducted to study the dashboard’s impacts on students. It found that students’ use of the dashboard was positively correlated with their course performance, and those who viewed the dashboard had higher course ranks. In addition, it showed that students’ use of the dashboard was positively correlated with their homework submission time, and those who viewed the dashboard submitted homework earlier as the course progressed. The inquiry also revealed that students had mixed feelings about the dashboard, including motivation and anxiety.

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Paper Citation


in Harvard Style

Duan X., Wang C. and Rouamba G. (2022). Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-562-3, pages 117-127. DOI: 10.5220/0011116400003182


in Bibtex Style

@conference{csedu22,
author={Xiaojing Duan and Chaoli Wang and Guieswende Rouamba},
title={Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2022},
pages={117-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011116400003182},
isbn={978-989-758-562-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Designing a Learning Analytics Dashboard to Provide Students with Actionable Feedback and Evaluating Its Impacts
SN - 978-989-758-562-3
AU - Duan X.
AU - Wang C.
AU - Rouamba G.
PY - 2022
SP - 117
EP - 127
DO - 10.5220/0011116400003182