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Learning analytics in higher education --- challenges and policies: a review of eight learning analytics policies

Tsai, Yi-Shan, Gasevic, Dragan·2017·Proceedings of the Seventh International Learning Analytics & Knowledge Conference

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Abstract

This paper presents the results of a review of eight policies for learning analytics of relevance for higher education, and discusses how these policies have tried to address prominent challenges in the adoption of learning analytics, as identified in the literature. The results show that more considerations need to be given to establishing communication channels among stakeholders and adopting pedagogy-based approaches to learning analytics. It also reveals the shortage of guidance for developing data literacy among end-users and evaluating the progress and impact of learning analytics. Moreover, the review highlights the need to establish formalised guidelines to monitor the soundness, effectiveness, and legitimacy of learning analytics. As interest in learning analytics among higher education institutions continues to grow, this review will provide insights into policy and strategic planning for the adoption of learning analytics.

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“[54].”
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Authors: Tsai, Y.-S., & Gasevic, D.
Affiliations: University of Edinburgh (GB)
The University of Edinburgh, Edinburgh, United Kingdom
ORCID: Tsai, Yi-Shan
Venue: Proceedings of the Seventh International Learning Analytics & Knowledge Conference
Publisher: ACM
Published: 2017-03-13
Pages: 233-242
DOI: 10.1145/3027385.3027400
OpenAlex: W2593639882
Cited by: 211
References: 20
Citations by year: 2026: 20 · 2025: 22 · 2024: 32 · 2023: 31 · 2022: 28 · 2021: 20 · 2020: 31 · 2019: 14 · 2018: 10 · 2017: 3
FWCI: 14.63
Type: conference paper
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: International Conference on Learning Analytics and Knowledge (LAK) (publishedVersion)
HAL (submittedVersion)
Funders: European Commission (562080-EPP-1-2015-1-BE-EPPKA3-PIFORW)
Topics: Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
Physical Sciences › Computer Science › Information Systems › Educational and Technological Research
Keywords: learning analytics, higher education, barriers to adoption, stakeholder communication, data literacy, strategic planning

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Learning analytics in higher education --- challenges and policies: a review of eight learning analytics policies

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