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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 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 - 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, Anthony F. Botelho:
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, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan:
Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? LAK 2023: 399-410 - 2022
- [j2]Avery Harrison Closser, John A. Erickson, Hannah Smith, Ashvini Varatharaj, Anthony F. Botelho:
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, George T. Heineman, Neil T. Heffernan:
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, Anthony F. Botelho, Neil T. Heffernan:
Examining Student Effort on Help through Response Time Decomposition. LAK 2021: 292-301 - [c20]Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan:
Toward Personalizing Students' Education with Crowdsourced Tutoring. L@S 2021: 37-45 - 2020
- [c19]Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan:
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, Ashvini Varatharaj, Thanaporn Patikorn, Diana Doherty, Seth Akonor Adjei, Joseph E. Beck:
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, Anthony F. Botelho, Neil T. Heffernan:
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 2024-11-08 20:28 CET by the dblp team
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