20–22 Nov 2026
The WINC Aichi
Asia/Tokyo timezone

Visualizing Student Performance with a Desk Heat Map

22 Nov 2026, 09:45
1h
The WINC Aichi

The WINC Aichi

Poster Presentation (60-minutes) CALL: Computer Assisted Language Learning Room 1001

Speaker

Adam Stone

Abstract section 2: Contribution/research questions

The system helps instructors manage attendance, share provisional grades, and use a desk heat map to identify students needing support. The heat map lays out desks, showing each student’s name and score in color-coded boxes—green for high, red for low—letting instructors spot engagement patterns. Unlike Course Signals, which only flagged issues, this heat map ties data to seating, prompting timely instructor intervention. (Gašević, Dawson, & Siemens, 2015).

Abstract section 1: Relevance

Digital tools enable instructors to organize classroom data far more efficiently than traditional paper-based methods. In large classes, it remains challenging for teachers to stay aware of individual student’s progress while managing attendance and assessment data. Effective classroom management depends on identifying patterns in engagement and performance. Learning analytics visualizations help instructors spot these patterns and emerging issues early (Klerkx, Verbert, & Duval, 2017). The system presented offers a digital approach to attendance, grade monitoring, and performance visualization in one interface, helping instructors act quickly during and between classes.

Abstract section 4: Outcomes/results

Attendees will gain practical insights into how the system can be applied in their own teaching contexts. This will enhance their capacity to track student progress more precisely. It will also enable targeted interventions for students who show early signs of struggle, ensuring timely support. Finally, instructors will be better able to manage large language classes. Attendees will leave with an understanding of how to apply these tools to monitor student engagement, participation, and academic progress, enabling effective intervention when needed.

Abstract section 5: References

Klerkx, J., Verbert, K., & Duval, E. (2017). Learning analytics dashboards. In C. Lang, G. Siemens, A. Wise, & D. Gašević (Eds.), Handbook of learning analytics (pp. 143–150). Society for Learning Analytics Research. https://doi.org/10.18608/hla17.012

Gasevic, Dragan & Dawson, Shane & Siemens, George. (2015). Let’s not forget: Learning analytics are about learning. TechTrends. 59. 10.1007/s11528-014-0822-x.

Abstract section 3: Content/method

Attendees will learn how the system operates in detail, including how instructors upload grades, how students confirm attendance through mobile devices, and how these data points generate a desk heat map. The poster will guide them through the setup, such as creating class lists, adding student profile pictures, and ensuring privacy by addressing student data protection and password encryption.

Title Visualizing Student Performance with a Desk Heat Map
Teaching Context College and university education

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