Anthony Botelho

According to our database1, Anthony Botelho authored at least 17 papers between 2015 and 2019.

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Bibliography

2019
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning.
TLT, 2019

Refusing to Try: Characterizing Early Stopout on Student Assignments.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Using Big Data to Sharpen Design-Based Inference in A/B Tests.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
A Memory-Augmented Neural Model for Automated Grading.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Incorporating Rich Features into Deep Knowledge Tracing.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Sequencing content in an adaptive testing system: the role of choice.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Improving Sensor-Free Affect Detection Using Deep Learning.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Discovering 'Tough Love' Interventions Despite Dropout.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
The Prediction of Student First Response Using Prerequisite Skills.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Predicting Student Aptitude Using Performance History.
Proceedings of the 8th International Conference on Educational Data Mining, 2015


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