Where is the evidence? A call to action for learning analytics

Source: https://commons.wikimedia.org

Photo CC0 http://maxpixel.freegreatpicture.com

5Cartoon CC BY-NC Randall Munro https://xkcd.com/882/

6Cartoon CC BY-NC Randall Munro https://xkcd.com/882/

7Cartoon CC BY-NC Randall Munro https://xkcd.com/882/

8Cartoon CC BY-NC Randall Munro https://xkcd.com/882/

Neil Howard: CC BY-NC 2.0

Programme for InternationalStudent Assessment (PISA)

https://xkcd.com/1739/

http://evidence.laceproject.eu/

http://evidence.laceproject.eu/evidence/evidence-flow-map/

Clow, LAK12, http://oro.open.ac.uk/34330/

Photo CC-BY sophie https://flic.kr/p/48Q2xa

Photo: commons.wikimedia.org

LAK: Use the peer review process to address the problem

LAK: Prioritise gaps in evidence in call

for papers

LAK: Strengthen the scrutiny of statistics in the review process

LAK: Aim to make findings more

accessible to non-researchers

LAK: Review best practice from fields more advanced in use of evidence

LAK: Ask authors to identify how their work fits into the learning analytics

cycle

Bidding for grants? How could your work fill an existing gap in the evidence?

Bring together bodies of work and

highlight main findings

Pathways to impact: how will you share your findings with those outside universities?

Establish expectations about quality of evidence

Help doctoral students to fill gaps and to fit their work into the learning analytics cycle

33FAILThe 2nd LAK athon

#lakfailDoug Clow, Rebecca Ferguson, Kirsty Kitto, Yong-Sang Cho, Mike Sharkey, Cecilia Aguerrebere

POSTER