News Story
OU Analyse @ LAK2016
Martin Hlosta, Thursday 9 Jun 2016As part of this year Learning Analytics and Knowledge(LAK16) conference in Edinburgh, the OU Analyse team from KMi organised The Data Literacy for Learning Analytics Workshop. The organisation of this workshop was motivated by the success of the Machine Analytics workshop at LAK14 in Indianapolis.
The workshop ran the whole day on April 26th 2016 and attracted around 30 participants from Higher Education institutions from countries in Europe, America and Asia.
The workshop was divided into two parts. After the introduction by Annika Wolff, 4 accepted papers were presented, one of them by prof. Zdenek Zdrahal http://events.kmi.open.ac.uk/dataliteracy4la/papers/DLitLA-16_paper_4.pdf.
After the lunch break, the participants were divided by their interests into two groups – 1) Analyzing and visualizing learner data using The Open University Learning Analytics Dataset and 2) Communicating from aggregated data, discussing the issues how to communicate the results from Learning Analytics to different types of user, including expert and non experts, or faculty, tutors, or students.
Based on the feedback from all the participants, new connections and ideas based of these connections were made during the run of the workshop and we believe we will organise another event of the following LAK in Vancouver 2017.
All the accepted and presented papers together with all the information about the workshop can be found on: http://events.kmi.open.ac.uk/dataliteracy4la/
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.
Latest News
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