CategoriesCall for ProposalsHackathon

CfP LAK Hackathon 2019

You can find the CFP on EasyChair at

Welcome to the Fifth Learning Analytics Hackathon (LAK Hackathon).  In this event, we focus on improving the learner’s experience through trusted and inclusive learning analytics across spaces. We want to give visibility to new LA tools, standards and infrastructures. If you have a research question, data set, idea or a problem bring it to the hackathon. We encourage joining the event no matter what your background. We aim to address the science-practice divide, by having practitioners and researchers working in multidisciplinary teams towards common objectives. To ensure continuity with the whole LAK community, this year we allow also one-day participation in the LAK Hackathon, to allow people interested in parallel pre-conference workshops also to join and bring their research questions.

You have an opportunity to submit proposals for research questions to be addressed and explored at #LAKHackathon 2019 the yearly hackathon event of the Learning Analytics and Knowledge (LAK)conference.

List of Topics

The purpose of submitting a paper proposal is to describe an open research question relevant to the LAK conference and therefore to the LAK Hackathon. We are not looking for finished work. We are not even looking for started work. We are looking for clear challenges that can be the starting points for tasks to be completed at the Hackathon. Each contribution should therefore briefly provide some context for the proposed research question, explain the expected outcomes and objectives that the author wish to be achieved by exploring this question at the LAK Hackathon 2019.

Examples of possible topics, taken from the expected outcomes of LAK Hackathon 2019 include:

  • Multimodal Learning Analytics
  • Data Interoperability
  • Goal setting and analytics
  • Student facing Open APIs
  • Curriculum analytics
  • Trusted Learning Analytics.

Read more in detail the proposed challenges for the LAK Hackathon

Program & Organizing Committee

  • Daniele Di Mitri, Open University of the Netherlands
  • Adam Cooper, Tribal Group, the U.K.
  • Kirsty Kitto, University of Technology, Sydney
  • Gábor Kismihók, TIB Hannover
  • Stefan T. Mol, University of Amsterdam
  • Niall Sclater, Jisc / Sclater Digital Ltd
  • Jan Schneider, DIPF - Frankfurt
  • Alan Mark Berg, ICTS, University of Amsterdam

Submission guidelines

We are looking for short contributions following this template with a length of 1 page.  The contribution should formulate clear research question(s) that are relevant for the hackathon, provide context through the referencing of previous research and explaining the targets you wished to be achieved.  We expect the following structure for the short paper:

  1. Background: context and a short description of the problem to be addressed
  2. Research question(s): clear research question(s) to be answered at the hackathon
  3. Expected outcomes: description of the expected solutions to the research questions

Please submit your paper through the Easychair by 3 December 2018

Important dates

  • 30th October 2018 – Workshop calls for participation announced
  • 3rd December 2018 – Workshop papers submission deadline
  • 4th January 2019 – Notifications sent out (prior to early-bird registration deadline of 8 January 2019)
  • 5th February 2019 – Final version of papers due for Companion Proceedings
  • 4-5th March 2019 – LAK Hackathon taking place in Tempe, Arizona

(All deadline at 23:59 Hawaii time.)


All questions about submissions should be emailed to

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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