Applying Learning Factors Analysis to Build Stereotypic Student Models. - Anna N. Rafferty; Michael Yudelson (AIED, 2007)

Finding Contradictions in Text. - Marie-Catherine de Marneffe; Anna N. Rafferty; Christopher D. Manning (ACL, 2008)

Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment. - Sebastian Padó; Marie-Catherine de Marneffe; Bill MacCartney; Anna N. Rafferty; Eric Yeh; Christopher D. Manning (TAC, 2008)

Random Walks for Text Semantic Similarity. - Daniel Ramage; Anna N. Rafferty; Christopher D. Manning (Graph-based Methods for Natural Language Processing, 2009)

Exploring the Relationship Between Learnability and Linguistic Universals. - Anna N. Rafferty; Thomas L. Griffiths 001; Marc Ettlinger (CMCL@ACL, 2011)

Faster Teaching by POMDP Planning. - Anna N. Rafferty; Emma Brunskill; Thomas L. Griffiths 001; Patrick Shafto (AIED, 2011)

Optimally Designing Games for Cognitive Science Research. - Anna N. Rafferty; Matei Zaharia; Thomas L. Griffiths 001 (CogSci, 2012)

Inferring learners' knowledge from observed actions. - Anna N. Rafferty; Michelle M. LaMar; Thomas L. Griffiths 001 (EDM, 2012)

ChemVLab+: Evaluating a Virtual Lab Tutor for High School Chemistry. - Jodi L. Davenport; Anna N. Rafferty; Michael J. Timms; David Yaron; Michael Karabinos (ICLS, 2012)

Automating Guidance for Students' Chemistry Drawings. - Anna N. Rafferty; Elizabeth Gerard; Kevin W. McElhaney; Marcia C. Linn (AIED Workshops, 2013)

Estimating Student Knowledge from Paired Interaction Data. - Anna N. Rafferty; Jodi L. Davenport; Emma Brunskill (EDM, 2013)

The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use. - Stephan C. Meylan; Brett Goldstein; Anna N. Rafferty; Thomas L. Griffiths 001 (CogSci, 2014)

A Bounded Rationality Account of Wishful Thinking. - Rebecca Neumann; Anna N. Rafferty; Thomas L. Griffiths 001 (CogSci, 2014)

Tracking Student Understanding of Chemical Reactions in ChemVLab+. - Anna N. Rafferty; Jodi L. Davenport; David Yaron (CogSci, 2014)

Diagnosing Algebra Understanding via Bayesian Inverse Planning. - Anna N. Rafferty; Thomas L. Griffiths 001 (EDM, 2014)

Promoting Student Learning through Automated Formative Guidance on Chemistry Drawings. - Anna N. Rafferty; Libby F. Gerard; Kevin W. McElhaney; Marcia C. Linn (ICLS, 2014)

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor. - Anna N. Rafferty; Thomas L. Griffiths 001; Dan Klein 001 (Cogn. Sci., 2014)

Applying Probabilistic Models for Knowledge Diagnosis and Educational Game Design. - Anna N. Rafferty (2014)

Interpreting Freeform Equation Solving. - Anna N. Rafferty; Thomas L. Griffiths 001 (AIED, 2015)

Inferring Learners' Knowledge From Their Actions. - Anna N. Rafferty; Michelle M. LaMar; Thomas L. Griffiths 001 (Cogn. Sci., 2015)

Using Inverse Planning for Personalized Feedback. - Anna N. Rafferty; Rachel Jansen; Thomas L. Griffiths 001 (EDM, 2016)

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. - Joseph Jay Williams; Juho Kim 001; Anna N. Rafferty; Samuel G. Maldonado; Krzysztof Z. Gajos; Walter S. Lasecki; Neil T. Heffernan (L@S, 2016)

Faster Teaching via POMDP Planning. - Anna N. Rafferty; Emma Brunskill; Thomas L. Griffiths 001; Patrick Shafto (Cogn. Sci., 2016)

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. - Joseph Jay Williams; Anna N. Rafferty; Andrew M. Ang; Dustin Tingley; Walter S. Lasecki; Juho Kim 001 (CHI Extended Abstracts, 2017)

Algebra is not like trivia: Evaluating self-assessment in an online math tutor. - Rachel Jansen; Anna N. Rafferty; Tom Griffiths 001 (CogSci, 2017)

Eliciting Middle School Students' Ideas About Graphs Supports Their Learning from a Computer Model. - Eliane Wiese; Anna N. Rafferty; Marcia C. Linn (CogSci, 2017)

MOOClets: A Framework for Dynamic Experimentation and Personalization. - Joseph Jay Williams; Anna N. Rafferty; Samuel G. Maldonado; Andrew M. Ang; Dustin Tingley; Juho Kim 001 (L@S, 2017)

Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. - Anna N. Rafferty; Huiji Ying; Joseph Jay Williams (AIED (2), 2018)

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. - Joseph Jay Williams; Anna N. Rafferty; Dustin Tingley; Andrew M. Ang; Walter S. Lasecki; Juho Kim 001 (CHI, 2018)

Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. - Rachel Jansen; Anna N. Rafferty; Tom Griffiths 001 (CogSci, 2018)

An Overview of Machine Teaching. - Xiaojin Zhu 001; Adish Singla; Sandra Zilles; Anna N. Rafferty (CoRR, 2018)

Modeling students' fraction arithmetic strategies using inverse planning. - Anna N. Rafferty; Rachel Jansen; Tom Griffiths 001 (CogSci, 2019)

Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. - Hammad Shaikh; Arghavan Modiri; Joseph Jay Williams; Anna N. Rafferty (EDM, 2019)

Linking code readability, structure, and comprehension among novices: it's complicated. - Eliane Stampfer Wiese; Anna N. Rafferty; Armando Fox (ICSE (SEET), 2019)

Replicating novices' struggles with coding style. - Eliane Stampfer Wiese; Anna N. Rafferty; Daniel M. Kopta; Jacqulyn M. Anderson (ICPC, 2019)

A rational model of sequential self-assessment. - Rachel Jansen; Anna N. Rafferty; Tom Griffiths 001 (CogSci, 2020)

Getting too personal(ized): The importance of feature choice in online adaptive algorithms. - Zhaobin Li; Luna Yee; Nathaniel Sauerberg; Irene Sakson; Joseph Jay Williams; Anna N. Rafferty (EDM, 2020)

Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. - Tyler A. Chang; Anna N. Rafferty (RepL4NLP@ACL, 2020)

Assessing Mathematics Misunderstandings via Bayesian Inverse Planning. - Anna N. Rafferty; Rachel Jansen; Thomas L. Griffiths 001 (Cogn. Sci., 2020)

Using Adaptive Experiments to Rapidly Help Students. - Angela M. Zavaleta Bernuy; Qi Yin Zheng; Hammad Shaikh; Jacob Nogas; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (AIED (2), 2021)

Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions. - Eliane Stampfer Wiese; Anna N. Rafferty; Garrett Moseke (ICPC, 2021)

The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. - Mohi Reza; Juho Kim 001; Ananya Bhattacharjee; Anna N. Rafferty; Joseph Jay Williams (L@S, 2021)

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. - Joseph Jay Williams; Jacob Nogas; Nina Deliu; Hammad Shaikh; Sofia S. Villar; Audrey Durand; Anna N. Rafferty (CoRR, 2021)

Reinforcement Learning for Education: Opportunities and Challenges. - Adish Singla; Anna N. Rafferty; Goran Radanovic; Neil T. Heffernan (CoRR, 2021)

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. - Jacob Nogas; Tong Li; Fernando J. Yanez; Arghavan Modiri; Nina Deliu; Ben Prystawski; Sofia S. Villar; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2021)

FATED 2022: Fairness, Accountability, and Transparency in Educational Data. - Collin F. Lynch; Mirko Marras; Mykola Pechenizkiy; Anna N. Rafferty; Steven Ritter 001; Vinitra Swamy; Renzhe Yu (EDM, 2022)

Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. - Yang Zhi-Han; Shiyue Zhang; Anna N. Rafferty (EDM, 2022)

How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. - Angela M. Zavaleta Bernuy; Ziwen Han; Hammad Shaikh; Qi Yin Zheng; Lisa-Angelique Lim; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (LAK, 2022)

Student Motivations and Goals for CS1: Themes and Variations. - David Liben-Nowell; Anna N. Rafferty (SIGCSE (1), 2022)

Readable vs. Writable Code: A Survey of Intermediate Students' Structure Choices. - Eliane Wiese; Anna N. Rafferty; Jordan Pyper (SIGCSE (1), 2022)

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. - Fernando J. Yanez; Angela M. Zavaleta Bernuy; Ziwen Han; Michael Liut; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2022)

Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision. - Sara Nurollahian; Anna N. Rafferty; Eliane Wiese (SEET@ICSE, 2023)

LENS: Predictive Diagnostics for Flexible and Efficient Assessments. - S. Thomas Christie; Hayden Johnson; Carson Cook; Garron Gianopulos; Anna N. Rafferty (L@S, 2023)

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. - Harsh Kumar; Tong Li; Jiakai Shi; Ilya Musabirov; Rachel Kornfield; Jonah Meyerhoff; Ananya Bhattacharjee; Chris J. Karr; Theresa Nguyen; David C. Mohr; Anna N. Rafferty; Sofia S. Villar; et al. (AAAI, 2024)

Uncertainty-preserving deep knowledge tracing with state-space models. - S. Thomas Christie; Carson Cook; Anna N. Rafferty (EDM, 2024)

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. - Harsh Kumar; Ruiwei Xiao; Benjamin Lawson; Ilya Musabirov; Jiakai Shi; Xinyuan Wang; Huayin Luo; Joseph Jay Williams; Anna N. Rafferty; John C. Stamper; Michael Liut (L@S, 2024)

Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students. - Sara Nurollahian; Anna N. Rafferty; Noelle Brown; Eliane Wiese (SIGCSE (1), 2024)

Playing with Matches: Adopting Gale-Shapley for Managing Student Enrollments Beyond CS2. - Anna N. Rafferty; David Liben-Nowell; David R. Musicant; Emy Farley; Allie Lyman; Ann May (SIGCSE (1), 2024)

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. - Paul Denny 001; Sumit Gulwani; Neil T. Heffernan; Tanja Käser; Steven Moore; Anna N. Rafferty; Adish Singla (CoRR, 2024)

An Agentic Framework for Real-Time Pedagogical Plot Generation. - S. Thomas Christie; Anna N. Rafferty; Zack Lee; Ella Cutler; Yu Tian; Husni Almoubayyed (AIED (5), 2025)

Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness. - Arisha Khan; Nathaniel Li; Tori Shen; Anna N. Rafferty (EDM, 2025)

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. - Ilya Musabirov; Mohi Reza; Haochen Song; Steven Moore; Pan Chen; Harsh Kumar; Tong Li; John C. Stamper; Norman L. Bier; Anna N. Rafferty; Thomas W. Price; Nina Deliu; et al. (LAK, 2025)

Parameterizing Individual Differences in Fraction and Decimal Arithmetic. - David W. Braithwaite; Anna N. Rafferty (Cogn. Sci., 2025)

WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. - Haochen Song; Ilya Musabirov; Ananya Bhattacharjee; Audrey Durand; Meredith Franklin; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2025)

Maximizing the Margin between Desirable and Undesirable Elements in a Covering Problem. - Sophie Boileau; Andrew Hong; David Liben-Nowell; Alistair Pattison; Anna N. Rafferty; Charlie Roslansky (CoRR, 2025)