Cikkek nyilvánosan hozzáférhető megbízással - Andrés Felipe ZambranoTovábbi információ
Valahol hozzáférhető: 6
Investigating algorithmic bias on bayesian knowledge tracing and carelessness detectors
AF Zambrano, J Zhang, RS Baker
Proceedings of the 14th Learning Analytics and Knowledge Conference, 349-359, 2024
Megbízások: US National Science Foundation
Cracking the code of learning gains: Using ordered network analysis to understand the influence of prior knowledge
AF Zambrano, A Barany, J Ocumpaugh, N Nasiar, S Hutt, A Goslen, ...
International Conference on Quantitative Ethnography, 18-33, 2023
Megbízások: US National Science Foundation
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning
AF Zambrano, RS Baker
Proceedings of the 14th Learning Analytics and Knowledge Conference, 66-77, 2024
Megbízások: US National Science Foundation
Says Who? How different ground truth measures of emotion impact student affective modeling
AF Zambrano, N Nasiar, J Ocumpaugh, A Goslen, J Zhang, J Rowe, ...
Proceedings of the 17th International Conference on Educational Data Mining …, 2024
Megbízások: US National Science Foundation
It’s good to explore: investigating silver pathways and the role of frustration during game-based learning
N Nasiar, AF Zambrano, J Ocumpaugh, S Hutt, A Goslen, J Rowe, ...
International Conference on Artificial Intelligence in Education, 497-503, 2023
Megbízások: US National Science Foundation
Active Learning for a Classroom Observer who Can't Time Travel
AF Zambrano, RS Baker, AS Lan
3rd International Workshop on What's Next in Affect Modeling? International …, 2023
Megbízások: US National Science Foundation
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