1

When Can We Trust AI Coding of Student-Generated Text? A Committee-Based Approach to Diagnosing Agreement and Uncertainty at Scale

In Proceedings of the 27th International Conference on Artificial Intelligence in Education (AIED 2026).

Using RE-LLM Coding Uncertainty to Resolve Codebook Ambiguities: An Example of the CLARIFY Toolset and Workflow in Action

LAK26 The Second International Workshop on Hybrid Intelligence: Human-AI Collaboration and Learning.

Studying with Learners’ Own Music: Preliminary Findings on Concentration and Task Load

In Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK 2021).

Exploring Interdisciplinary Data Science Education for Undergraduates: Preliminary Results

In Diversity, Divergence, Dialogue - The 16th International Conference on Information (iConference 2021).

Learning with Background Music: A Field Experiment

In Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK 2020).

Can Background Music Facilitate Learning? Preliminary Results on Reading Comprehension

In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK 2019).

On the Relationships between Music-Induced Emotion and Physiological Signals

In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018).