Human-Centred Learning Analytics (HCLA) is a growing field in Learning Analytics (LA) that focuses on creating educational analytics and AI systems while prioritizing human values, ethical practices, and thoughtful design. As Human-Centered AI (HCAI) becomes more popular, it’s crucial to ensure that these technologies in education are effective, ethical, learner-focused, and aligned with societal needs.

This fifth HCLA workshop explores the latest in Human-Centered LA and AI, discussing new approaches and their broader impact on education. We aim to foster discussions on creating ethical, inclusive, and sustainable solutions that truly benefit learning and education.

Submission Guidelines

We have a call for papers. Attendees can optionally submit a position workshop paper (max 4 pages, using CEUR overleaf or .zip file template). The organisers welcome two types of contributions:

• short empirical paper to showcase work in progress, tools or successful HCLA and AI in education experiences; or
• short discussion papers provoking the audience to think about key issues and problems related to HCLA or HCAI in education and the use of human-centred design to support the LA design process.

The following can guide the selection of topics for submitted papers: 

• What is the state of the art in HCLA, and what have we learned from these experiences? 

• Within the context of our field, how do we appropriate concepts such as "participatory", "co-design" and "human-centeredness", which point at strong bodies of literature and communities beyond LA? 

• How can we design LA systems for and/or with educational stakeholders? 

• Grounding on broad HCAI principles (Shneiderman, 2022): how can we create LA systems that are reliable, safe, and trustworthy? 

• How do we achieve balance between human agency and AI agency in LA? 

Committees

Organizing committee

• Riordan Alfredo (riordan.alfredo@monash.edu)
• Simon Buckingham Shum (Simon.BuckinghamShum@uts.edu.au)
• Mutlu Cukurova (m.cukurova@ucl.ac.uk)
• Yannis Dimitriadis (yannis@tel.uva.es)
• Charles Lang (charles.lang@tc.columbia.edu)
• Roberto Martinez-Maldonado (roberto.martinezmaldonado@monash.edu)
• Patricia Santos (patricia.santos@upf.edu)
• Paraskevi Topali (evi.topali@ru.nl)
• Olga Viberg (oviberg@kth.se)

Venue

The workshop will be held at the 15th International Conference of Learning Analytics and Knowledge, Dublin, Ireland. 

Contact

All questions about submissions should be emailed to riordan.alfredo@monash.edu