# Making machine learning findings accessible to teachers in blended classrooms

Paola Mejia-Domenzain, Seyed Parsa Neshaei, Eva Laini, Tanya Nazaretsky, Peter Bühlmann, Tanja Käser
2026 · International Journal of Artificial Intelligence in Education

**Finding.** What teachers want from a learning-analytics dashboard differs considerably between blended and online contexts: preferences, requirements and concerns all shift.

## Abstract

Managing blended learning environments, which combine traditional face-to-face and online learning, can be challenging for teachers as it requires adapting and orchestrating both components effectively. Learning analytics dashboards (LAD) can provide teachers with insights into students' self-studying habits in the online component. While recent advances in machine learning (ML) enable the identification of meaningful behavioral patterns, existing LADs mostly focus on aggregated information. Reasons for this are manifold: including the potential lack of trust in ML processes and the intricate nature of their visualizations. In this paper, we follow a teacher-centered approach to study how to make ML-based findings accessible to teachers. We first design multiple visualizations and assess their perceived clarity, appeal, and actionability in a user study with 100 teachers. We then implement these visualizations on a dashboard to monitor student self-regulated learning behavior and adapt it to two different learning contexts: Reflective Writing and Flipped Classrooms. We evaluate the effectiveness and applicability of our dashboard through semi-structured interviews with 19 teachers. Our findings suggest that the visualization preferences, requirements, use, and concerns of LADs differ considerably between both contexts. Our study contributes to understanding teachers' design preferences in LADs and the integration of ML-based findings into classrooms.

## Links
- DOI: https://doi.org/10.1016/j.ijaied.2026.100001
- HTML: https://paola-md.github.io/papers/making-machine-learning-findings-accessible-to-teachers-in-blended-class.html
- Cite: https://paola-md.github.io/publications.bib

Part of the publication record of Paola Mejia-Domenzain, https://paola-md.github.io/