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Learning to swim in an ocean of student data

  • Carol Russel

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Downloads (Pure)

Abstract

Like other Australian universities, Western Sydney University collects a large amount of data on student learning experiences, including their use of technologies. For busy discipline academics the task of mining and analysing all the data, to create meaningful evidence that informs teaching practice, can seem overwhelming. Graphs of responses to multiple choice questions are relatively straightforward to generate and share. But text comments in response to open-ended questions, although potentially very revealing, are often not used systematically. The University is making both quantitative and qualitative student survey responses available in a format that teaching staff can access directly through an institutional data dashboard. There has been some progress and there are some challenges. During 2015 we have been aiming to encourage teaching staff not just to dip their toes in the water but to take the plunge and use both quantitative and qualitative data actively and with purpose.
Original languageEnglish
Title of host publicationProceedings of the 2015 ASCILITE Conference: Globally Connected, Digitally Enabled: 29 November – 2 December 2015, Curtin University, Perth, Western Australia
PublisherCurtin University
Pages532-536
Number of pages5
Publication statusPublished - 2015
EventAustralasian Society for Computers in Learning in Tertiary Education. Conference -
Duration: 27 Nov 2016 → …

Conference

ConferenceAustralasian Society for Computers in Learning in Tertiary Education. Conference
Period27/11/16 → …

Open Access - Access Right Statement

The author(s) assign a Creative Commons by attribution licence enabling others to distribute, remix, tweak, and build upon their work, even commercially, as long as credit is given to the author(s) for the original creation.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty

Keywords

  • Western Sydney University
  • data mining
  • educational surveys

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