Anna N. Rafferty

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 45

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

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 (2024)
S. Thomas Christie, Carson Cook, Anna N. Rafferty
Uncertainty-preserving deep knowledge tracing with state-space models. CoRR (2024)
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
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S (2024)
Sara Nurollahian, Anna N. Rafferty, Noelle Brown, Eliane Wiese
Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students. SIGCSE (1) (2024)
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
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR (2024)
Anna N. Rafferty, David Liben-Nowell, David R. Musicant, Emy Farley, Allie Lyman, Ann May
Playing with Matches: Adopting Gale-Shapley for Managing Student Enrollments Beyond CS2. SIGCSE (1) (2024)
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
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. AAAI (2024)
Sara Nurollahian, Anna N. Rafferty, Eliane Wiese
Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision. SEET@ICSE (2023)
S. Thomas Christie, Hayden Johnson, Carson Cook, Garron Gianopulos, Anna N. Rafferty
LENS: Predictive Diagnostics for Flexible and Efficient Assessments. L@S (2023)
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
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. CoRR (2023)
Zhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
Getting too personal(ized): The importance of feature choice in online adaptive algorithms. CoRR (2023)
Yang Zhi-Han, Shiyue Zhang, Anna N. Rafferty
Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. EDM (2022)
Eliane Wiese, Anna N. Rafferty, Jordan Pyper
Readable vs. Writable Code: A Survey of Intermediate Students' Structure Choices. SIGCSE (1) (2022)
Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR (2022)
Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. CoRR (2022)
Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. LAK (2022)
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM (2022)
Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
Using Adaptive Experiments to Rapidly Help Students. CoRR (2022)
David Liben-Nowell, Anna N. Rafferty
Student Motivations and Goals for CS1: Themes and Variations. SIGCSE (1) (2022)
Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
Reinforcement Learning for Education: Opportunities and Challenges. CoRR (2021)
Mohi Reza, Juho Kim, Ananya Bhattacharjee, Anna N. Rafferty, Joseph Jay Williams
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. L@S (2021)
Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. CoRR (2021)
Eliane Stampfer Wiese, Anna N. Rafferty, Garrett Moseke
Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions. ICPC (2021)
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR (2021)
Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams
Using Adaptive Experiments to Rapidly Help Students. AIED (2) (2021)
Zhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
Getting too personal(ized): The importance of feature choice in online adaptive algorithms. EDM (2020)
Tyler A. Chang, Anna N. Rafferty
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. CoRR (2020)
Rachel Jansen, Anna N. Rafferty, Tom Griffiths
A rational model of sequential self-assessment. CogSci (2020)
Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths
Assessing Mathematics Misunderstandings via Bayesian Inverse Planning. Cogn. Sci. 44 (10) (2020)
Tyler A. Chang, Anna N. Rafferty
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. RepL4NLP@ACL (2020)
Eliane Stampfer Wiese, Anna N. Rafferty, Armando Fox
Linking code readability, structure, and comprehension among novices: it's complicated. ICSE (SEET) (2019)
Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty
Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. EDM (2019)
Anna N. Rafferty, Rachel Jansen, Tom Griffiths
Modeling students' fraction arithmetic strategies using inverse planning. CogSci (2019)
Eliane Stampfer Wiese, Anna N. Rafferty, Daniel M. Kopta, Jacqulyn M. Anderson
Replicating novices' struggles with coding style. ICPC (2019)
Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. CHI (2018)
Rachel Jansen, Anna N. Rafferty, Tom Griffiths
Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. CogSci (2018)
Anna N. Rafferty, Huiji Ying, Joseph Jay Williams
Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. AIED (2) (2018)
Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty
An Overview of Machine Teaching. CoRR (2018)
Rachel Jansen, Anna N. Rafferty, Tom Griffiths
Algebra is not like trivia: Evaluating self-assessment in an online math tutor. CogSci (2017)
Eliane Wiese, Anna N. Rafferty, Marcia C. Linn
Eliciting Middle School Students' Ideas About Graphs Supports Their Learning from a Computer Model. CogSci (2017)
Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim
Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. CHI Extended Abstracts (2017)
Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim
MOOClets: A Framework for Dynamic Experimentation and Personalization. L@S (2017)
Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths
Using Inverse Planning for Personalized Feedback. EDM (2016)
Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. L@S (2016)
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
Faster Teaching via POMDP Planning. Cogn. Sci. 40 (6) (2016)
Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths
Inferring Learners' Knowledge From Their Actions. Cogn. Sci. 39 (3) (2015)
Anna N. Rafferty, Thomas L. Griffiths
Interpreting Freeform Equation Solving. AIED (2015)
Stephan C. Meylan, Brett Goldstein, Anna N. Rafferty, Thomas L. Griffiths
The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use. CogSci (2014)
Rebecca Neumann, Anna N. Rafferty, Thomas L. Griffiths
A Bounded Rationality Account of Wishful Thinking. CogSci (2014)
Anna N. Rafferty, Thomas L. Griffiths, Dan Klein
Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor. Cogn. Sci. 38 (7) (2014)
Anna N. Rafferty, Jodi L. Davenport, David Yaron
Tracking Student Understanding of Chemical Reactions in ChemVLab+. CogSci (2014)
Anna N. Rafferty, Thomas L. Griffiths
Diagnosing Algebra Understanding via Bayesian Inverse Planning. EDM (2014)
Anna N. Rafferty, Libby F. Gerard, Kevin W. McElhaney, Marcia C. Linn
Promoting Student Learning through Automated Formative Guidance on Chemistry Drawings. ICLS (2014)
Anna N. Rafferty, Jodi L. Davenport, Emma Brunskill
Estimating Student Knowledge from Paired Interaction Data. EDM (2013)
Anna N. Rafferty, Elizabeth Gerard, Kevin W. McElhaney, Marcia C. Linn
Automating Guidance for Students' Chemistry Drawings. AIED Workshops (2013)
Anna N. Rafferty, Matei Zaharia, Thomas L. Griffiths
Optimally Designing Games for Cognitive Science Research. CogSci (2012)
Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths
Inferring learners' knowledge from observed actions. EDM (2012)
Jodi L. Davenport, Anna N. Rafferty, Michael J. Timms, David Yaron, Michael Karabinos
ChemVLab+: Evaluating a Virtual Lab Tutor for High School Chemistry. ICLS (2012)
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
Faster Teaching by POMDP Planning. AIED (2011)
Anna N. Rafferty, Thomas L. Griffiths, Marc Ettlinger
Exploring the Relationship Between Learnability and Linguistic Universals. CMCL@ACL (2011)
Daniel Ramage, Anna N. Rafferty, Christopher D. Manning
Random Walks for Text Semantic Similarity. Graph-based Methods for Natural Language Processing (2009)
Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning
Finding Contradictions in Text. ACL (2008)
Sebastian Padó, Marie-Catherine de Marneffe, Bill MacCartney, Anna N. Rafferty, Eric Yeh, Christopher D. Manning
Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment. TAC (2008)
Anna N. Rafferty, Michael Yudelson
Applying Learning Factors Analysis to Build Stereotypic Student Models. AIED (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anna N. Rafferty