Topics

The expected outcomes of the LAKathon are the identification and concrete pilot implementations of prototype tools/systems/data/studies, which arise from the synthesis of educational technology,

software development, and data science perspectives. As for previous events, the hackathon will a repository of code, sample data, screenshots, and slides from the activity of participants.

At LAKathon2020 we expect to emphasise the following topics:

Multimodal Learning Analytics

Learning activities such as practical skills training and co-located group interactions represent a big set of learning moments taking place across physical and digital spaces, both in the classroom and at the workplace. These moments can be monitored via the tracking of multiple modalities including motoric and physiological information, learning context, environment, and activity (Di Mitri et al., 2018). This year the MMLAHack seeks to complement the conference workshop CrossMMLA with space for hands-on examples, prototype demonstrations, code-sharing, and solutions to technical issues in the field of MMLA.

Data Interoperability

It should not matter which institution a student attended, their learning data should make sense for a lifetime and in any environment. This becomes even more urgent in light of GDPR legislation and the concomitant right to data portability. In LAK20 we propose to return to the Edinburgh Statement on Data Interoperability (Edinburgh Statement, 2016), exploring ways of mapping between emerging xAPI Profiles, and published Caliper metric profiles. Bring your xAPI and Caliper data along and help us to find a way to develop LA tools that are agnostic about which data standard was used to generate that data.

Goal setting and analytics

Goal Setting (GS) theory, and GS tools and methodologies, can potentially enhance the performance of individuals. Tracking students’ learning through GS comes with a number of opportunities to gain insights into learning pathways, Self Regulated Learning and offline learning activities that students engage in. With the help of learning analytics, it is possible to connect students’ learning goals with performance and behavioural data coming from digital learning environments. This notion also creates the opportunity to continuously monitor students’ progress toward their explicit learning goals over time, and provide individual recommendations. We will build on the LAK16 Goal setting workshop ( Mol, Kobayashi, Kismihók & Zhao, 2016), available open-source applications (including the UvA Goal Setting Dashboard), and a large amount of labour market data (vacancy announcements) to formulate personal goals beyond the frames of formal education.

Analytics in game-based assessment and games for learning

Well designed games represent wonderful opportunities for learning and as assessment instruments for numerous reasons ( Kim at al. 2019 ): They keep players engaged through the process, most people have grown up playing games and they relate them with fun, and games can represent more closely real world situations than traditional learning environments. As a challenge, due to the often open nature of this medium, it is complex to make sense of these kinds of data. This challenge explores the affordances of using analytics to understand students’ learning process and to perform an assessment in games.

Curriculum Analytics

How can we enable the identification of effective or weak parts of the curriculum, leading to the building of better courses? Early efforts at linking learning design and learning analytics include the Australian “Loop” system, which integrates course structures and schedules in its visualisations to help evaluate the effectiveness of the learning activities and work at the Open University which assesses the impact of types of learning and assessment design on various measures of student success (Quan Nguyen, 2017). An approach we intend to explore is the building of learning designs which not only categorise different aspects of the learning process but also specify the data which needs to be captured to show whether the designs are proving effective.

Other Ideas?

You have the power: Please contribute a challenge to the hackathon, check our Call for Proposal.

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