Anna N. Rafferty

76 papers A* 3A 7B 26Journal 21Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Agentic Framework for Real-Time Pedagogical Plot Generation. AIED (5) S. Thomas Christie, Anna N. Rafferty, Zack Lee, Ella Cutler, Yu Tian, Husni Almoubayyed
2025	B	`conf`	Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness. EDM Arisha Khan, Nathaniel Li, Tori Shen, Anna N. Rafferty
2025	J	`jnl`	Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness. CoRR Arisha Khan, Nathaniel Li, Tori Shen, Anna N. Rafferty
2025	B	`conf`	Knowledge of Examples Affects Conditional Reasoning About Math. CogSci David W. Braithwaite, Anna N. Rafferty
2025	J	`jnl`	Maximizing the Margin between Desirable and Undesirable Elements in a Covering Problem. CoRR Sophie Boileau, Andrew Hong, David Liben-Nowell, Alistair Pattison, Anna N. Rafferty, Charlie Roslansky
2025	J	`jnl`	Parameterizing Individual Differences in Fraction and Decimal Arithmetic. Cogn. Sci. David W. Braithwaite, Anna N. Rafferty
2025	A	`conf`	Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. LAK 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, Audrey Durand, Michael Liut, Joseph Jay Williams
2025	J	`jnl`	WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. CoRR Haochen Song, Ilya Musabirov, Ananya Bhattacharjee, Audrey Durand, Meredith Franklin, Anna N. Rafferty, Joseph Jay Williams
2024	J	`jnl`	Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
2024	—	`conf`	Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students. SIGCSE (1) Sara Nurollahian, Anna N. Rafferty, Noelle Brown, Eliane Wiese
2024	—	`ed.`	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. HEXED/L3MNGET@EDM 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 S. 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 A. Walkington
2024	—	`conf`	Playing with Matches: Adopting Gale-Shapley for Managing Student Enrollments Beyond CS2. SIGCSE (1) Anna N. Rafferty, David Liben-Nowell, David R. Musicant, Emy Farley, Allie Lyman, Ann May
2024	B	`conf`	Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S 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
2024	J	`jnl`	Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR 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
2024	B	`conf`	Uncertainty-preserving deep knowledge tracing with state-space models. EDM S. Thomas Christie, Carson Cook, Anna N. Rafferty
2024	J	`jnl`	Uncertainty-preserving deep knowledge tracing with state-space models. CoRR S. Thomas Christie, Carson Cook, Anna N. Rafferty
2024	A*	`conf`	Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. AAAI 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, Nina Deliu, Joseph Jay Williams
2023	J	`jnl`	Getting too personal(ized): The importance of feature choice in online adaptive algorithms. CoRR ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
2023	—	`conf`	Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision. SEET@ICSE Sara Nurollahian, Anna N. Rafferty, Eliane Wiese
2023	B	`conf`	LENS: Predictive Diagnostics for Flexible and Efficient Assessments. L@S S. Thomas Christie, Hayden Johnson, Carson Cook, Garron Gianopulos, Anna N. Rafferty
2023	J	`jnl`	Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. CoRR 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, Nina Deliu, Joseph Jay Williams
2022	B	`conf`	Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. EDM Zhi-Han Yang, Shiyue Zhang, Anna N. Rafferty
2022	B	`conf`	FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
2022	A	`conf`	How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. LAK Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2022	J	`jnl`	How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. CoRR Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2022	J	`jnl`	Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams
2022	—	`conf`	Readable vs. Writable Code: A Survey of Intermediate Students' Structure Choices. SIGCSE (1) Eliane Wiese, Anna N. Rafferty, Jordan Pyper
2022	—	`conf`	Student Motivations and Goals for CS1: Themes and Variations. SIGCSE (1) David Liben-Nowell, Anna N. Rafferty
2022	J	`jnl`	Using Adaptive Experiments to Rapidly Help Students. CoRR Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2021	J	`jnl`	Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. CoRR Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams
2021	J	`jnl`	Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty
2021	J	`jnl`	Reinforcement Learning for Education: Opportunities and Challenges. CoRR Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
2021	A	`conf`	Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions. ICPC Eliane Stampfer Wiese, Anna N. Rafferty, Garrett Moseke
2021	B	`conf`	The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. L@S Mohi Reza, Juho Kim, Ananya Bhattacharjee, Anna N. Rafferty, Joseph Jay Williams
2021	—	`conf`	Using Adaptive Experiments to Rapidly Help Students. AIED (2) Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
2020	B	`conf`	A rational model of sequential self-assessment. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2020	J	`jnl`	Assessing Mathematics Misunderstandings via Bayesian Inverse Planning. Cogn. Sci. Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths
2020	—	`conf`	Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. RepL4NLP@ACL Tyler A. Chang, Anna N. Rafferty
2020	J	`jnl`	Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. CoRR Tyler A. Chang, Anna N. Rafferty
2020	B	`conf`	Getting too personal(ized): The importance of feature choice in online adaptive algorithms. EDM ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
2020	B	`ed.`	Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020 EDM Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza
2019	B	`conf`	Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. EDM Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty
2019	—	`conf`	Linking code readability, structure, and comprehension among novices: it's complicated. ICSE (SEET) Eliane Stampfer Wiese, Anna N. Rafferty, Armando Fox
2019	B	`conf`	Modeling students' fraction arithmetic strategies using inverse planning. CogSci Anna N. Rafferty, Rachel Jansen, Tom Griffiths
2019	A	`conf`	Replicating novices' struggles with coding style. ICPC Eliane Stampfer Wiese, Anna N. Rafferty, Daniel M. Kopta, Jacqulyn M. Anderson
2018	J	`jnl`	An Overview of Machine Teaching. CoRR Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty
2018	—	`conf`	Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. AIED (2) Anna N. Rafferty, Huiji Ying, Joseph Jay Williams
2018	A*	`conf`	Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. CHI Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim
2018	B	`conf`	Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2017	B	`conf`	Algebra is not like trivia: Evaluating self-assessment in an online math tutor. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2017	—	`conf`	Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. CHI Extended Abstracts Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim
2017	B	`conf`	Eliciting Middle School Students' Ideas About Graphs Supports Their Learning from a Computer Model. CogSci Eliane Wiese, Anna N. Rafferty, Marcia C. Linn
2017	B	`conf`	MOOClets: A Framework for Dynamic Experimentation and Personalization. L@S Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim
2016	B	`conf`	AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. L@S Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan
2016	J	`jnl`	Faster Teaching via POMDP Planning. Cogn. Sci. Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
2016	B	`conf`	Using Inverse Planning for Personalized Feedback. EDM Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths
2015	J	`jnl`	Inferring Learners' Knowledge From Their Actions. Cogn. Sci. Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths
2015	A	`conf`	Interpreting Freeform Equation Solving. AIED Anna N. Rafferty, Thomas L. Griffiths
2014	B	`conf`	A Bounded Rationality Account of Wishful Thinking. CogSci Rebecca Neumann, Anna N. Rafferty, Thomas L. Griffiths
2014	J	`jnl`	Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor. Cogn. Sci. Anna N. Rafferty, Thomas L. Griffiths, Dan Klein
2014	—	`—`	Applying Probabilistic Models for Knowledge Diagnosis and Educational Game Design. Anna N. Rafferty
2014	B	`conf`	Diagnosing Algebra Understanding via Bayesian Inverse Planning. EDM Anna N. Rafferty, Thomas L. Griffiths
2014	—	`conf`	Promoting Student Learning through Automated Formative Guidance on Chemistry Drawings. ICLS Anna N. Rafferty, Libby F. Gerard, Kevin W. McElhaney, Marcia C. Linn
2014	B	`conf`	The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use. CogSci Stephan C. Meylan, Brett Goldstein, Anna N. Rafferty, Thomas L. Griffiths
2014	B	`conf`	Tracking Student Understanding of Chemical Reactions in ChemVLab+. CogSci Anna N. Rafferty, Jodi L. Davenport, David Yaron
2013	—	`conf`	Automating Guidance for Students' Chemistry Drawings. AIED Workshops Anna N. Rafferty, Elizabeth Gerard, Kevin W. McElhaney, Marcia C. Linn
2013	B	`conf`	Estimating Student Knowledge from Paired Interaction Data. EDM Anna N. Rafferty, Jodi L. Davenport, Emma Brunskill
2012	—	`conf`	ChemVLab+: Evaluating a Virtual Lab Tutor for High School Chemistry. ICLS Jodi L. Davenport, Anna N. Rafferty, Michael J. Timms, David Yaron, Michael Karabinos
2012	B	`conf`	Inferring learners' knowledge from observed actions. EDM Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths
2012	B	`conf`	Optimally Designing Games for Cognitive Science Research. CogSci Anna N. Rafferty, Matei Zaharia, Thomas L. Griffiths
2011	—	`conf`	Exploring the Relationship Between Learnability and Linguistic Universals. CMCL@ACL Anna N. Rafferty, Thomas L. Griffiths, Marc Ettlinger
2011	A	`conf`	Faster Teaching by POMDP Planning. AIED Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
2009	—	`conf`	Random Walks for Text Semantic Similarity. Graph-based Methods for Natural Language Processing Daniel Ramage, Anna N. Rafferty, Christopher D. Manning
2008	—	`conf`	Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment. TAC Sebastian Padó, Marie-Catherine de Marneffe, Bill MacCartney, Anna N. Rafferty, Eric Yeh, Christopher D. Manning
2008	A*	`conf`	Finding Contradictions in Text. ACL Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning
2007	A	`conf`	Applying Learning Factors Analysis to Build Stereotypic Student Models. AIED Anna N. Rafferty, Michael Yudelson