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HACK@LAK18 Call for Proposals

Call For Proposals (

The Hack@LAK18 is a pre-conference workshop of the 8th International Learning Analytics and Knowledge Conference (LAK). It is the fourth in the series of Hackathons held at LAK, where we encourage a hands-on approach to combining novel data sources in a realistic infrastructure for the benefit of Learning. The approach is multi-disciplinary, reviewed from all angles, self-organising and team building. Anyone is welcome to participate as long as they are motivated to be politely critical and work towards and expand common objectives.

Please feel free to bring along your research questions, datasets and methodologies to the workshop for incorporation in the multidisciplinary activities. If you would like to suggest open research questions that you think should be addressed at the event, then please see our Call for Proposals which is open until December 18. However, you don’t have to have submitted a proposal in order to participate!

The event itself will take place on March 5-9, 2018 in Sydney, Australia.

This workshop is called a data hackathon but it is not just for techies. If you are involved in education, whether as a teacher, instructor, learning technologist or instructional designer, this is the chance to gain better insight into what is kinds of data are already available and also to help system developers gather the information you really need to better support your vision for user-centred learning analytics.


The purpose of submitting a paper proposal is to describe an open research question relevant to the LAK conference and therefore to Hack@LAK18. We are not looking for finished work. We are not event looking for started work. We are looking for challenges that can be the starting points for tasks to be completed at the Hackathon. Each paper should therefore briefly provide some context for the proposed research question, refer to previous research, explain the objectives that the author wishes to be achieved through exploring this question and describe the potential impact on practices, tool support, and research in learning analytics. Examples of possible topics, taken from the expected outcomes of Hack@LAK18 include:

  • Personal analytics supporting self-directed learning
  • Goal setting and analytics
  • Playgrounds for data literacy
  • Student facing Open APIs
  • Infrastructure-integrated approaches for the joint exploitation of distributed data sources, including synthetic data
  • Analytics beyond user-computer interaction data


We are looking for short papers following this template with a length of 2 to 3 pages including references.  The paper’s purpose is to set a research question(s) that are relevant for the hackathon, provide context through the referencing of previous research and explaining the targets you wished achieved and the potential impact on open source software, standards, best practices.

We expect the following structure for the short paper:

  1. Abstract
  2. Introduction: Setting context and a brief literature review and Research Question(s)
  3. Impact: Including the targets and potential effect on Learning Analytics practices
  4. Acknowledgements
  5. References

Please submit your paper through the easychair by 18 December 2017

On behalf of the hackathon organisers,

Daniele Di Mitri

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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