uts case study - ascilite2015 learning analytics workshop
TRANSCRIPT
Introducing Analy0cs at UTS Example: Academic Wri0ng Analy0cs
Simon Buckingham Shum Director, Connected Intelligence Centre Professor of Learning Informatics @sbuckshum #LearningAnalytics
utscic.edu.au
Stakeholders to build writing analytics tool
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Ágnes Sándor Xerox Research Centre Europe
Grenoble (linguist: modelling
academic writing)
Xerox Incremental
Parser
Rosalie Goldsmith Institute for Multimedia Learning (researcher in reflective writing in engineering)
Philippa Ryan Faculty of Law (academic teaching civil law)
Reflective writing rubrics
Civil Law student writing
Simon Buckingham Shum Shawn Wang, Simon Knight
Connected Intelligence Centre (learning analytics researchers and web developer)
User requirements, interface design and evaluation, data collection & analysis
AWA: Analytical Academic Writing
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Roll over sentences with Fkeys for a popup reminding you of their meaning
Engaging Law academic in tuning AWA
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1. Trigger curiosity through CIC briefings
2. Submit collabora0on proposal to CIC
3. Agree 0melines
4. Think aloud user interface walkthrough
5. Preliminary text analyses
6. Systema0c text analyses
7. Refine parser
8. Design student pilot
9. Gather student feedback
Validating the tool: student feedback
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“takes the emo+on out of having your work scru+nized”
“it was not embarrassing in the way that it can be when a tutor or marker gives feedback”
“I definitely found it useful. It also made me realise that I tend to use bold, certain language in making my point towards the end of each paragraph rather than up front at the beginning (when introducing my point).”
“I realise now what descrip+ve wri+ng is -‐ the soCware had quite a bit to say about my lack of jus+fica+on -‐ also true -‐ pressed for +me and difficult circumstances have caused this for me in this instance -‐ good to see it sampled.”
Validating the tool: academic trust
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An issue of “Algorithmic Accountability” Critical to forge trust between all the stakeholders: Educators, Analysts, Students
We aim to ensure that academics feel that:
their expertise is respected
their feedback has an impact
they understand the tool sufficiently to trust it
ideally they get esteem and research outputs from engaging with analytics