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

Yi Shan Tsai; Dragan Gasevic

doi:10.1145/3027385.3027400

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

Yi Shan Tsai, Dragan Gasevic

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

145 Citations (Scopus)

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.

Original language	English
Title of host publication	LAK'17 Conference Proceedings
Subtitle of host publication	The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data
Editors	Inge Molenaar, Xavier Ochoa, Shane Dawson
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	233-242
Number of pages	10
ISBN (Electronic)	9781450348706
DOIs	https://doi.org/10.1145/3027385.3027400
Publication status	Published - 13 Mar 2017
Externally published	Yes
Event	International Learning Analytics & Knowledge Conference 2017 - Morris J Wosk Centre for Dialogue, Simon Fraser University, Vancouver, Canada Duration: 13 Mar 2017 → 17 Mar 2017 Conference number: 7th http://lak17.solaresearch.org/

Conference

Conference	International Learning Analytics & Knowledge Conference 2017
Abbreviated title	LAK 2017
Country/Territory	Canada
City	Vancouver
Period	13/03/17 → 17/03/17
Internet address	http://lak17.solaresearch.org/

Keywords

Challenge
Code of practice
Higher education
Learning analytics
Policy
Strategy

Access to Document

10.1145/3027385.3027400

Cite this

Tsai, Y. S., & Gasevic, D. (2017). Learning analytics in higher education - Challenges and policies: a review of eight learning analytics policies. In I. Molenaar, X. Ochoa, & S. Dawson (Eds.), LAK'17 Conference Proceedings: The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data (pp. 233-242). Association for Computing Machinery (ACM). https://doi.org/10.1145/3027385.3027400

Tsai, Yi Shan ; Gasevic, Dragan. / Learning analytics in higher education - Challenges and policies : a review of eight learning analytics policies. LAK'17 Conference Proceedings: The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. editor / Inge Molenaar ; Xavier Ochoa ; Shane Dawson. New York NY USA : Association for Computing Machinery (ACM), 2017. pp. 233-242

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Tsai, YS & Gasevic, D 2017, Learning analytics in higher education - Challenges and policies: a review of eight learning analytics policies. in I Molenaar, X Ochoa & S Dawson (eds), LAK'17 Conference Proceedings: The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. Association for Computing Machinery (ACM), New York NY USA, pp. 233-242, International Learning Analytics & Knowledge Conference 2017, Vancouver, British Columbia, Canada, 13/03/17. https://doi.org/10.1145/3027385.3027400

Learning analytics in higher education - Challenges and policies: a review of eight learning analytics policies. / Tsai, Yi Shan ; Gasevic, Dragan.
LAK'17 Conference Proceedings: The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. ed. / Inge Molenaar; Xavier Ochoa; Shane Dawson. New York NY USA: Association for Computing Machinery (ACM), 2017. p. 233-242.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - 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.

KW - Challenge

KW - Code of practice

KW - Higher education

KW - Learning analytics

KW - Policy

KW - Strategy

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Tsai YS , Gasevic D. Learning analytics in higher education - Challenges and policies: a review of eight learning analytics policies. In Molenaar I, Ochoa X, Dawson S, editors, LAK'17 Conference Proceedings: The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data. New York NY USA: Association for Computing Machinery (ACM). 2017. p. 233-242 doi: 10.1145/3027385.3027400

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

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