News Story

KMi at LAK15 – Poughkeepsie

John Domingue, Friday 27 Mar 2015

A group of KMIers have just returned from the 5th ACM Learning Analytics and Knowledge (LAK) conference, this year held in Poughkeepsie, New York. 

Zdenek Zdrahal, Martin Hlosta, and Jakub Kuzilek were attending to present work on OU Analyse, which as well as attracting interest from participants was highlighted in OU PVC Belinda Tynan’s keynote talk on Thursday.

Duygu was presenting her PhD work on the Xerox Incremental Parser (XIP) and Simon his work on epistemic-commitments in information seeking tasks (video of extended talk at Rutgers the following week to follow).  Simon also co-organised a workshop on the Temporal Analysis of Learning Data – It’s About Time – proceedings pieces for the short paper and workshop are on ORO.

Beyond KMi (and of course, ex-KMIer Simon Buckingham Shum) the OU was very well represented, with (Best Paper Award recipient) Sharon Slade from the Business School; Bart Rienties, Rebecca Ferguson, and Denise Whitelock all from IET; and head of Analytics Kevin Mayles with PVC Belinda Tynan. This year’s conference included a number of talks considering both institutional issues in developing analytics strategies, and research around discourse-centric learning analytics: both areas well represented by the OU.

Check out the papers in the proceedings, and get your train tickets early for a local LAK16 in Edinburgh!

Related Links:


KMi News Image 0
LAK15 Conference
KMi News Image 1


Connected

OU Analyse

The OU Analyse project is piloting new machine learning based methods for early identification of students who are at risk of failing.

Website Icon

Latest News

Best Paper Award at EKAW 2024 for groundbreaking work on capturing the political discourse in the news

Building Trust and Preempting Misinformation: Prof. Harith Alani on Combating Disinformation in Central Banking

KMi’s Paula Reyero-Lobo Passes Her PhD Viva with Flying Colours! 

KMi researchers win Best Resource Paper Award at ISWC 2024  

KMi at ISWC 2024: Advancing the Semantic Web with Knowledge Graphs and LLMs 

Sections

RSS iconKnowledge Media institute News RDF

View by

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team