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Neil T. Heffernan
Neil Thomas Heffernan III
Person information
- affiliation: Worcester Polytechnic Institute, Worcester, MA, USA
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2020 – today
- 2024
- [c227]Allison Wang
, Ethan Prihar
, Aaron Haim
, Neil T. Heffernan
:
Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? AIED Companion (2) 2024: 242-250 - [c226]Aaron Haim
, Eamon Worden
, Neil T. Heffernan
:
The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. AIED Companion (2) 2024: 369-374 - [c225]Michael Smalenberger
, Elham Sohrabi, Mengxue Zhang, Sami Baral, Kelly Smalenberger
, Andrew S. Lan, Neil T. Heffernan:
Automatic Short Answer Grading in College Mathematics Using In-Context Meta-learning: An Evaluation of the Transferability of Findings. AIED Companion (1) 2024: 409-417 - [c224]Aaron Haim
, Stephen Hutt
, Stacy T. Shaw
, Neil T. Heffernan
:
Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. AIED Companion (2) 2024: 446-451 - [c223]Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore:
Causal Inference in Educational Data Mining. EDM 2024 - [c222]Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan:
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. EDM 2024 - [c221]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 - [c220]Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan:
From Reaction to Anticipation: Predicting Future Affect. EDM 2024 - [c219]Kirk Vanacore
, Ashish Gurung
, Adam Sales
, Neil T. Heffernan
:
The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. LAK 2024: 462-472 - [c218]Ashish Gurung
, Kirk Vanacore
, Andrew A. McReynolds
, Korinn S. Ostrow
, Eamon Worden
, Adam C. Sales
, Neil T. Heffernan
:
Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. LAK 2024: 507-517 - [c217]Hai Li
, Chenglu Li
, Wanli Xing
, Sami Baral
, Neil T. Heffernan
:
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. LAK 2024: 763-770 - [c216]Morgan P. Lee
, Abubakir Siedahmed
, Neil T. Heffernan
:
Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. LAK 2024: 864-870 - [c215]Hai Li
, Wanli Xing
, Chenglu Li
, Wangda Zhu
, Neil T. Heffernan
:
Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. L@S 2024: 371-375 - [c214]Steven Ritter
, Stephen E. Fancsali
, April Murphy
, Neil T. Heffernan
, Ben Motz
, Debshila Basu Mallick
, Jeremy Roschelle
, Danielle S. McNamara
, Joseph Jay Williams
:
Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2024: 565-566 - [e2]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] - [i12]Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla:
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR abs/2402.01580 (2024) - [i11]Sami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung, Neil T. Heffernan:
Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. CoRR abs/2411.08910 (2024) - 2023
- [j16]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) - [c213]Mingyu Feng
, Neil T. Heffernan
, Kelly Collins, Cristina Heffernan, Robert F. Murphy:
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. AIED 2023: 28-40 - [c212]Aaron Haim
, Stacy T. Shaw
, Neil T. Heffernan
:
How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. AIED (Posters/Late Breaking Results/...) 2023: 74-78 - [c211]Ethan Prihar
, Morgan P. Lee
, Mia Hopman
, Adam Tauman Kalai
, Sofia Vempala
, Allison Wang
, Gabriel Wickline, Aly Murray, Neil T. Heffernan
:
Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. AIED (Posters/Late Breaking Results/...) 2023: 290-295 - [c210]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 - [c209]Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan:
Auto-scoring Student Responses with Images in Mathematics. EDM 2023 - [c208]Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. EDM 2023 - [c207]Aaron Haim, Stacy T. Shaw, Neil T. Heffernan:
How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. EDM 2023 - [c206]Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan:
Knowledge Tracing Over Time: A Longitudinal Analysis. EDM 2023 - [c205]Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan:
Effective Evaluation of Online Learning Interventions with Surrogate Measures. EDM 2023 - [c204]Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan:
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. EDM 2023 - [c203]Aaron Haim
, Stacy T. Shaw
, Neil T. Heffernan
:
How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. LAK 2023: 156-164 - [c202]Kirk Vanacore
, Ashish Gurung
, Andrew A. McReynolds
, Allison S. Liu
, Stacy T. Shaw
, Neil T. Heffernan
:
Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. LAK 2023: 165-174 - [c201]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 - [c200]Ethan Prihar
, Aaron Haim
, Tracy Jia Shen
, Adam Sales
, Dongwon Lee
, Xintao Wu
, Neil T. Heffernan
:
Investigating the Impact of Skill-Related Videos on Online Learning. L@S 2023: 4-13 - [c199]Ashish Gurung
, Sami Baral
, Morgan P. Lee
, Adam C. Sales
, Aaron Haim
, Kirk P. Vanacore
, Andrew A. McReynolds
, Hilary Kreisberg
, Cristina Heffernan
, Neil T. Heffernan
:
How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. L@S 2023: 70-80 - [c198]Aaron Haim
, Chris Baxter
, Robert Gyurcsan
, Stacy T. Shaw
, Neil T. Heffernan
:
How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. L@S 2023: 174-182 - [c197]Aaron Haim
, Stacy T. Shaw
, Neil T. Heffernan
:
How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. L@S 2023: 248-250 - [c196]Steven Ritter
, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle S. McNamara, Richard G. Baraniuk, Debshila Basu Mallick, René F. Kizilcec, Ryan Baker, Stephen Fancsali, April Murphy:
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2023: 254-256 - [c195]Ethan Prihar
, Adam Sales
, Neil T. Heffernan
:
A Bandit You Can Trust. UMAP 2023: 106-115 - [i10]Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan:
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. CoRR abs/2306.00791 (2023) - 2022
- [j15]Wen Huang, Kevin Labille, Xintao Wu
, Dongwon Lee, Neil T. Heffernan:
Achieving User-Side Fairness in Contextual Bandits. Hum. Centric Intell. Syst. 2(3-4): 81-94 (2022) - [c194]Aaron Haim
, Ethan Prihar
, Neil T. Heffernan
:
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. AIED (2) 2022: 29-34 - [c193]Ashish Gurung
, Neil T. Heffernan
:
Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. AIED (2) 2022: 71-76 - [c192]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 - [c191]Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch
, Ashish Gurung
, Neil T. Heffernan:
More Powerful A/B Testing Using Auxiliary Data and Deep Learning. AIED (2) 2022: 524-527 - [c190]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 - [c189]Aaron Haim, Neil T. Heffernan:
Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. EDM 2022 - [c188]Ethan Prihar, Alexander Moore, Neil T. Heffernan:
Identifying Explanations Within Student-Tutor Chat Logs. EDM 2022 - [c187]Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan:
Exploring Common Trends in Online Educational Experiments. EDM 2022 - [c186]Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan:
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. EDM 2022 - [c185]Adam Sales, Neil T. Heffernan:
Causal Inference in Educational Data Mining. EDM 2022 - [c184]Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan:
Automatic Short Math Answer Grading via In-context Meta-learning. EDM 2022 - [c183]Jim Goodell
, Neil T. Heffernan:
Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy. HCI (49) 2022: 619-623 - [c182]Ethan Prihar, Aaron Haim
, Adam Sales, Neil T. Heffernan:
Automatic Interpretable Personalized Learning. L@S 2022: 1-11 - [c181]Steven Ritter
, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle S. McNamara, René F. Kizilcec, Jeremy Roschelle, Richard G. Baraniuk, Ryan Baker:
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2022: 252-254 - [d2]Aaron Haim
, Li Cheng
, Neil T. Heffernan
:
ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge. Zenodo, 2022 - [d1]Renah Razzaq
, Neil T. Heffernan
, Manuel Gonsalves:
Does automated reassesment & relearning improve math performance in comparison to traditional computer adaptive practice alone? Zenodo, 2022 - [i9]Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan:
Automatic Short Math Answer Grading via In-context Meta-learning. CoRR abs/2205.15219 (2022) - 2021
- [c180]Ethan Prihar, Alexander Moore, Neil T. Heffernan:
Identifying Struggling Students by Comparing Online Tutor Clickstreams. AIED (2) 2021: 290-295 - [c179]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. AIED (1) 2021: 408-419 - [c178]Wen Huang
, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Fairness-aware Bandit-based Recommendation. IEEE BigData 2021: 1273-1278 - [c177]Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan:
Improving Automated Scoring of Student Open Responses in Mathematics. EDM 2021 - [c176]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 - [c175]Ethan Prihar, Neil T. Heffernan:
A Novel Algorithm for Aggregating Crowdsourced Opinions. EDM 2021 - [c174]Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane:
Estimating the Intelligent Tutor Effects on Specific Posttest Problems. EDM 2021 - [c173]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 - [c172]Ashish Gurung
, Anthony F. Botelho, Neil T. Heffernan:
Examining Student Effort on Help through Response Time Decomposition. LAK 2021: 292-301 - [c171]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell:
Second Workshop on Educational A/B Testing at Scale. L@S 2021: 1-3 - [c170]Ethan Prihar, Thanaporn Patikorn
, Anthony Botelho, Adam Sales, Neil T. Heffernan:
Toward Personalizing Students' Education with Crowdsourced Tutoring. L@S 2021: 37-45 - [i8]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math KCs via Task-Adaptive Pre-Trained BERT. CoRR abs/2105.11343 (2021) - [i7]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee:
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education. CoRR abs/2106.07340 (2021) - [i6]Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan:
Reinforcement Learning for Education: Opportunities and Challenges. CoRR abs/2107.08828 (2021) - 2020
- [c169]Renah Razzaq
, Korinn S. Ostrow
, Neil T. Heffernan
:
Effect of Immediate Feedback on Math Achievement at the High School Level. AIED (2) 2020: 263-267 - [c168]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 - [c167]Aritra Ghosh
, Neil T. Heffernan, Andrew S. Lan:
Context-Aware Attentive Knowledge Tracing. KDD 2020: 2330-2339 - [c166]Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin:
Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD 2020: 3549-3550 - [c165]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 - [c164]Thanaporn Patikorn
, Neil T. Heffernan:
Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms. L@S 2020: 115-124 - [c163]Steven Ritter
, Neil T. Heffernan, Joseph Jay Williams, Burr Settles, Phillip Grimaldi, Derek Lomas:
Workshop Proposal: Educational A/B Testing at Scale. L@S 2020: 219-220 - [i5]Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan:
Context-Aware Attentive Knowledge Tracing. CoRR abs/2007.12324 (2020) - [i4]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Achieving User-Side Fairness in Contextual Bandits. CoRR abs/2010.12102 (2020)
2010 – 2019
- 2019
- [c162]Thanaporn Patikorn
, David Deisadze, Leo Grande, Ziyang Yu, Neil T. Heffernan
:
Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts. AIED (1) 2019: 396-405 - [c161]Xiwen Lu
, Korinn S. Ostrow, Neil T. Heffernan:
Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform. CSEDU (1) 2019: 321-329 - [c160]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 - [c159]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 - [c158]Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan:
Active Learning for Student Affect Detection. EDM 2019 - [c157]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
- [c156]Korinn S. Ostrow
, Neil T. Heffernan
:
Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments. AIED (1) 2018: 381-394 - [c155]Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan:
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. EDM 2018 - [c154]Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan:
Using Big Data to Sharpen Design-Based Inference in A/B Tests. EDM 2018 - [c153]Paul Salvador Inventado
, Sharris Gayle Francisco Inventado, Noboru Matsuda
, Yeping Li, Peter Scupelli
, Korinn Ostrow, Neil T. Heffernan, Shihfen Tu, Craig Mason, Mary Logue, Pat McGuire:
Using Design Patterns for Math Preservice Teacher Education. EuroPLoP 2018: 31:1-31:8 - [c152]Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé:
Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS 2018 - 2017
- [j14]Korinn S. Ostrow
, Yan Wang, Neil T. Heffernan:
How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation. J. Learn. Anal. 4(2) (2017) - [j13]Maria Ofelia Clarissa Z. San Pedro
, Ryan S. Baker, Neil T. Heffernan:
An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technol. Knowl. Learn. 22(3): 243-270 (2017) - [c151]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Victoria Almeda
, Laura K. Allen, Neil T. Heffernan:
Using natural language processing tools to develop complex models of student engagement. ACII 2017: 542-547 - [c150]Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan:
Improving Sensor-Free Affect Detection Using Deep Learning. AIED 2017: 40-51 - [c149]Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan:
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. EDM 2017 - [c148]Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan:
Modeling Wheel-spinning and Productive Persistence in Skill Builders. EDM 2017 - [c147]Thanaporn Patikorn, Neil T. Heffernan, Jian Zou:
An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. EDM 2017 - [c146]Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou:
Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. EDM 2017 - [c145]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 - [c144]Siyuan Zhao, Neil T. Heffernan:
Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks. EDM 2017 - [c143]Paul Salvador Inventado
, Peter Scupelli
, Cristina Heffernan, Neil T. Heffernan:
Feedback Design Patterns for Math Online Learning Systems. EuroPLoP 2017: 31:1-31:15 - [c142]Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan:
Sequencing content in an adaptive testing system: the role of choice. LAK 2017: 178-182 - [c141]Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda
, Alex J. Bowers, Neil T. Heffernan:
Using correlational topic modeling for automated topic identification in intelligent tutoring systems. LAK 2017: 393-397 - [c140]Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater:
Guidance counselor reports of the ASSISTments college prediction model (ACPM). LAK 2017: 479-488 - [c139]Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan:
Incorporating Rich Features into Deep Knowledge Tracing. L@S 2017: 169-172 - [c138]Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan:
A Memory-Augmented Neural Model for Automated Grading. L@S 2017: 189-192 - [c137]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 - [c136]Xiwen Lu
, Xiaolu Xiong, Neil T. Heffernan:
Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale. L@S 2017: 335-338 - 2016
- [j12]Neil T. Heffernan
, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams:
The Future of Adaptive Learning: Does the Crowd Hold the Key? Int. J. Artif. Intell. Educ. 26(2): 615-644 (2016) - [c135]Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan:
Semantic Features of Math Problems: Relationships to Student Learning and Engagement. EDM 2016: 223-230 - [c134]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 - [c133]Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Thomas Heffernan III, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Mia Almeda:
Hint Availability Slows Completion Times in Summer Work. EDM 2016: 388-393 - [c132]Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang:
Discovering 'Tough Love' Interventions Despite Dropout. EDM 2016: 650-651 - [c131]Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan
, Joseph Jay Williams:
The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. LAK 2016: 279-288 - [c130]Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan
:
Enhancing the efficiency and reliability of group differentiation through partial credit. LAK 2016: 454-458 - [c129]