LA policy: developing an institutional policy for learning analytics using the RAPID outcome mapping approach

Yi Shan Tsai, Dragan Gasevic, Pedro J. Muñoz-Merino, Shane Dawson

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Abstract

This workshop aims to promote strategic planning for learning analytics in higher education through developing institutional policies. While adoption of learning analytics is predominantly seen in small-scale and bottom-up patterns, it is believed that a systemic implementation can bring the widest impact to the education system and lasting benefits to learners. However, the success of it highly depends on the adopted strategy that meets the needs of various stakeholders and systematically pushes the institution towards achieving its targets. It is imperative to develop a learning analytics policy that ensures a practice that is valid, effective and ethical. The workshop involves two components. The first component includes a set of presentations about the state of learning analytics in higher education, drawing on results from an Australian and a European project examining institutional learning analytics policy and adoption processes. The second component is an interactive session where participants are encouraged to share their motivations for adopting learning analytics and the diversity of challenges they perceive impede analytics adoption in their institution. Using the RAPID Outcome Mapping Approach (ROMA), participants will create a draft policy that articulates how the various challenges can be addressed. This workshop aims to further develop our understanding of how learning analytics operates in an organizational system and promote a cultural change in how such analytics are adopted in higher education.

Original languageEnglish
Title of host publicationLAK'17 Conference Proceedings
Subtitle of host publicationThe Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data
EditorsInge Molenaar, Xavier Ochoa, Shane Dawson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages494-495
Number of pages2
ISBN (Electronic)9781450348706
DOIs
Publication statusPublished - 13 Mar 2017
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2017 - Morris J Wosk Centre for Dialogue, Simon Fraser University, Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017
Conference number: 7th
http://lak17.solaresearch.org/

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2017
Abbreviated titleLAK 2017
CountryCanada
CityVancouver
Period13/03/1717/03/17
Internet address

Keywords

  • Higher education
  • Learning analytics
  • Policy

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