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Anthony Botelho
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2020 – today
- 2024
- [c41]Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore:
Causal Inference in Educational Data Mining. EDM 2024 - [c40]Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c39]Yu-Chia Kao, Anthony Botelho:
Be back in 5 minutes: Exploring correlations between short breaks with student performance. EDM 2024 - [c38]Seiyon M. Lee, Anthony F. Botelho:
The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math. EDM 2024 - [c37]Hongming Li, Anthony F. Botelho:
Developing Explainable AI Systems to Support Feedback for Students. EDM 2024 - [c36]Hongming Li, Seiyon Lee, Anthony F. Botelho:
This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices. EDM 2024 - [c35]Hongming Li, Shan Zhang, Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer, Anthony F. Botelho:
Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments. EDM 2024 - [c34]Shan Zhang, Hai Li, Hongming Li, Anthony F. Botelho, Maya Israel:
Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling. EDM 2024 - [e1]Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace Walkington:
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents] - 2023
- [j3]Anthony Botelho, Sami Baral
, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan:
Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics. J. Comput. Assist. Learn. 39(3): 823-840 (2023) - [c33]Guher Gorgun
Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing. AIED (Posters/Late Breaking Results/...) 2023: 302-307 - [c32]Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, John A. Erickson, Neil T. Heffernan:
Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. AIED (Posters/Late Breaking Results/...) 2023: 341-346 - [c31]Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan:
Auto-scoring Student Responses with Images in Mathematics. EDM 2023 - [c30]Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan:
Knowledge Tracing Over Time: A Longitudinal Analysis. EDM 2023 - [c29]Ashish Gurung
Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? LAK 2023: 399-410 - 2022
- [j2]Avery Harrison Closser
Blending learning analytics and embodied design to model students' comprehension of measurement using their actions, speech, and gestures. Int. J. Child Comput. Interact. 32: 100391 (2022) - [c28]Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan:
Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. AIED (1) 2022: 281-293 - [c27]Sami Baral, Karthik Seetharaman, Anthony F. Botelho, Anzhuo Wang
Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions. AIED (1) 2022: 685-690 - [c26]Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan:
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. EDM 2022 - 2021
- [c25]Anthony Botelho, Jenny Yun-Chen Chan, Cindy Trac, Avery Harrison Closser, Hannah Smith, Kathryn C. Drzewiecki, Erin Ottmar:
State vs. Trait: Examining Gaming the System in the Context of Math Perception Tasks. CogSci 2021 - [c24]Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan:
Improving Automated Scoring of Student Open Responses in Mathematics. EDM 2021 - [c23]John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan:
Is It Fair? Automated Open Response Grading. EDM 2021 - [c22]Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan:
Using Past Data to Warm Start Active Machine Learning: Does Context Matter? LAK 2021: 151-160 - [c21]Ashish Gurung
Examining Student Effort on Help through Response Time Decomposition. LAK 2021: 292-301 - [c20]Ethan Prihar, Thanaporn Patikorn
Toward Personalizing Students' Education with Crowdsourced Tutoring. L@S 2021: 37-45 - 2020
- [c19]Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu
Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. AIED (1) 2020: 562-573 - [c18]Avery Harrison, Hannah Smith, Anthony Botelho, Erin Ottmar, Ivon Arroyo:
For Good Measure: Identifying Student Measurement Estimation Strategies Through Actions, Language, and Gesture. ICLS 2020 - [c17]John A. Erickson, Anthony F. Botelho, Steven McAteer, Ashvini Varatharaj, Neil T. Heffernan:
The automated grading of student open responses in mathematics. LAK 2020: 615-624
2010 – 2019
- 2019
- [j1]Anthony F. Botelho
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. IEEE Trans. Learn. Technol. 12(2): 158-170 (2019) - [c16]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. EDM 2019 - [c15]Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan:
Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. EDM 2019 - [c14]Anthony F. Botelho, Ashvini Varatharaj, Eric G. Van Inwegen, Neil T. Heffernan:
Refusing to Try: Characterizing Early Stopout on Student Assignments. LAK 2019: 391-400 - 2018
- [c13]Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan:
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. EDM 2018 - [c12]Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan:
Using Big Data to Sharpen Design-Based Inference in A/B Tests. EDM 2018 - 2017
- [c11]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Improving Sensor-Free Affect Detection Using Deep Learning. AIED 2017: 40-51 - [c10]Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil T. Heffernan, Jian Zou:
Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. EDM 2017 - [c9]Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan:
Sequencing content in an adaptive testing system: the role of choice. LAK 2017: 178-182 - [c8]Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan:
Incorporating Rich Features into Deep Knowledge Tracing. L@S 2017: 169-172 - [c7]Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan:
A Memory-Augmented Neural Model for Automated Grading. L@S 2017: 189-192 - [c6]Biao Yin, Thanaporn Patikorn
Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. L@S 2017: 299-302 - 2016
- [c5]Anthony F. Botelho, Seth Adjei, Neil T. Heffernan:
Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. EDM 2016: 292-297 - [c4]Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang:
Discovering 'Tough Love' Interventions Despite Dropout. EDM 2016: 650-651 - [c3]Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan
Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. LAK 2016: 469-473 - 2015
- [c2]Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan:
Predicting Student Aptitude Using Performance History. EDM 2015: 622-623 - [c1]Anthony Botelho, Hao Wan, Neil T. Heffernan
The Prediction of Student First Response Using Prerequisite Skills. L@S 2015: 39-45
Coauthor Index
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last updated on 2024-12-13 19:10 CET by the dblp team
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