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- research-articleMarch 2025
Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
LAK '25: Proceedings of the 15th International Learning Analytics and Knowledge ConferencePages 631–641https://doi.org/10.1145/3706468.3706552Educational stakeholders are often particularly interested in sparse, delayed student outcomes, like end-of-year statewide exams. The rare occurrence of such assessments makes it harder to identify students likely to fail such assessments, as well as ...
- short-paperMarch 2024
Estimating the Causal Treatment Effect of Unproductive Persistence
LAK '24: Proceedings of the 14th Learning Analytics and Knowledge ConferencePages 843–849https://doi.org/10.1145/3636555.3636899There has been considerable work in classifying and predicting unproductive persistence, but much less in understanding its causal impact on downstream outcomes of interest, like external assessments. In general, it is experimentally challenging to ...
- short-paperMarch 2021
The Haunted Desk: Exploring Non-Volitional Behavior Change with Everyday Robotics
- Lawrence H. Kim,
- Annel Amelia Leon,
- Ganapathy Sankararaman,
- Blake M. Jones,
- Gourab Saha,
- Amanda Spyropolous,
- Akshara Motani,
- Matthew Louis Mauriello,
- Pablo E. Paredes
HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot InteractionPages 71–75https://doi.org/10.1145/3434074.3447131We introduce and explore the concept of non-volitional behavior change, a novel category of behavior change interventions, and apply it in the context of promoting healthy behaviors through an automated sit-stand desk. While routine use of sit-stand ...