where is the evidence? a call to action for learning analytics
TRANSCRIPT
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Source: https://commons.wikimedia.org
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Photo CC0 http://maxpixel.freegreatpicture.com
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5Cartoon CC BY-NC Randall Munro https://xkcd.com/882/
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6Cartoon CC BY-NC Randall Munro https://xkcd.com/882/
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7Cartoon CC BY-NC Randall Munro https://xkcd.com/882/
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8Cartoon CC BY-NC Randall Munro https://xkcd.com/882/
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Neil Howard: CC BY-NC 2.0
Programme for InternationalStudent Assessment (PISA)
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https://xkcd.com/1739/
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http://evidence.laceproject.eu/
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http://evidence.laceproject.eu/evidence/evidence-flow-map/
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Clow, LAK12, http://oro.open.ac.uk/34330/
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Photo CC-BY sophie https://flic.kr/p/48Q2xa
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Photo: commons.wikimedia.org
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LAK: Use the peer review process to address the problem
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LAK: Prioritise gaps in evidence in call
for papers
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LAK: Strengthen the scrutiny of statistics in the review process
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LAK: Aim to make findings more
accessible to non-researchers
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LAK: Review best practice from fields more advanced in use of evidence
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LAK: Ask authors to identify how their work fits into the learning analytics
cycle
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Bidding for grants? How could your work fill an existing gap in the evidence?
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Bring together bodies of work and
highlight main findings
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Pathways to impact: how will you share your findings with those outside universities?
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Establish expectations about quality of evidence
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Help doctoral students to fill gaps and to fit their work into the learning analytics cycle
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33FAILThe 2nd LAK athon
#lakfailDoug Clow, Rebecca Ferguson, Kirsty Kitto, Yong-Sang Cho, Mike Sharkey, Cecilia Aguerrebere
POSTER
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