Anthony Botelho
Orcid: 0000-0002-7373-4959
According to our database1,
Anthony Botelho
authored at least 36 papers
between 2015 and 2023.
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Bibliography
2023
Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics.
J. Comput. Assist. Learn., June, 2023
Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers?
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Proceedings of the 16th International Conference on Educational Data Mining, 2023
Proceedings of the 16th International Conference on Educational Data Mining, 2023
Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
2022
Blending learning analytics and embodied design to model students' comprehension of measurement using their actions, speech, and gestures.
Int. J. Child Comput. Interact., 2022
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring.
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
2021
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
Is It Fair? Automated Open Response Grading.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Improving Automated Scoring of Student Open Responses in Mathematics.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
State vs. Trait: Examining Gaming the System in the Context of Math Perception Tasks.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
For Good Measure: Identifying Student Measurement Estimation Strategies Through Actions, Language, and Gesture.
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020
Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning.
IEEE Trans. Learn. Technol., 2019
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
Proceedings of the 11th International Conference on Educational Data Mining, 2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018
2017
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017
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
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
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
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
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015