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Anna N. Rafferty
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2020 – today
- 2024
- [c46]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: 22906-22912 - [c45]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: 86-97 - [c44]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: 979-985 - [c43]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: 1084-1090 - [i13]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) - [i12]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 abs/2406.07571 (2024) - 2023
- [c42]Sara Nurollahian
, Anna N. Rafferty
, Eliane Wiese:
Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision. SEET@ICSE 2023: 58-69 - [c41]S. Thomas Christie
, Hayden Johnson
, Carson Cook
, Garron Gianopulos
, Anna N. Rafferty
:
LENS: Predictive Diagnostics for Flexible and Efficient Assessments. L@S 2023: 14-24 - [i11]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 abs/2309.02856 (2023) - [i10]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 abs/2310.18326 (2023) - 2022
- [c40]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 - [c39]Yang Zhi-Han, Shiyue Zhang, Anna N. Rafferty:
Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. EDM 2022 - [c38]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: 107-118 - [c37]David Liben-Nowell, Anna N. Rafferty
:
Student Motivations and Goals for CS1: Themes and Variations. SIGCSE (1) 2022: 237-243 - [c36]Eliane Wiese, Anna N. Rafferty, Jordan Pyper:
Readable vs. Writable Code: A Survey of Intermediate Students' Structure Choices. SIGCSE (1) 2022: 321-327 - [i9]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 abs/2208.05087 (2022) - [i8]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 abs/2208.05090 (2022) - [i7]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 abs/2208.05092 (2022) - 2021
- [c35]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: 422-426 - [c34]Eliane Stampfer Wiese, Anna N. Rafferty
, Garrett Moseke:
Students' Misunderstanding of the Order of Evaluation in Conjoined Conditions. ICPC 2021: 476-484 - [c33]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: 15-26 - [i6]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 abs/2103.12198 (2021) - [i5]Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan:
Reinforcement Learning for Education: Opportunities and Challenges. CoRR abs/2107.08828 (2021) - [i4]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 abs/2112.08507 (2021) - 2020
- [j4]Anna N. Rafferty
, Rachel Jansen, Thomas L. Griffiths
:
Assessing Mathematics Misunderstandings via Bayesian Inverse Planning. Cogn. Sci. 44(10) (2020) - [c32]Rachel Jansen, Anna N. Rafferty, Tom Griffiths:
A rational model of sequential self-assessment. CogSci 2020 - [c31]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 - [c30]Tyler A. Chang, Anna N. Rafferty:
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. RepL4NLP@ACL 2020: 7-16 - [e1]Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza:
Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020. International Educational Data Mining Society 2020, ISBN 978-1-7336736-1-7 [contents] - [i3]Tyler A. Chang, Anna N. Rafferty:
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. CoRR abs/2005.08177 (2020)
2010 – 2019
- 2019
- [c29]Anna N. Rafferty, Rachel Jansen, Tom Griffiths:
Modeling students' fraction arithmetic strategies using inverse planning. CogSci 2019: 3554 - [c28]Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty:
Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. EDM 2019 - [c27]Eliane Stampfer Wiese, Anna N. Rafferty
, Armando Fox:
Linking code readability, structure, and comprehension among novices: it's complicated. ICSE (SEET) 2019: 84-94 - [c26]Eliane Stampfer Wiese, Anna N. Rafferty
, Daniel M. Kopta, Jacqulyn M. Anderson:
Replicating novices' struggles with coding style. ICPC 2019: 13-18 - 2018
- [c25]Anna N. Rafferty
, Huiji Ying, Joseph Jay Williams:
Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power. AIED (2) 2018: 286-290 - [c24]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: 207 - [c23]Rachel Jansen, Anna N. Rafferty, Tom Griffiths:
Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. CogSci 2018 - [i2]Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty:
An Overview of Machine Teaching. CoRR abs/1801.05927 (2018) - 2017
- [c22]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: 3012-3018 - [c21]Rachel Jansen, Anna N. Rafferty, Tom Griffiths:
Algebra is not like trivia: Evaluating self-assessment in an online math tutor. CogSci 2017 - [c20]Eliane Wiese, Anna N. Rafferty, Marcia C. Linn:
Eliciting Middle School Students' Ideas About Graphs Supports Their Learning from a Computer Model. CogSci 2017 - [c19]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: 287-290 - 2016
- [j3]Anna N. Rafferty
, Emma Brunskill, Thomas L. Griffiths
, Patrick Shafto:
Faster Teaching via POMDP Planning. Cogn. Sci. 40(6): 1290-1332 (2016) - [c18]Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths:
Using Inverse Planning for Personalized Feedback. EDM 2016: 472-477 - [c17]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: 379-388 - 2015
- [j2]Anna N. Rafferty
, Michelle M. LaMar, Thomas L. Griffiths
:
Inferring Learners' Knowledge From Their Actions. Cogn. Sci. 39(3): 584-618 (2015) - [c16]Anna N. Rafferty
, Thomas L. Griffiths
:
Interpreting Freeform Equation Solving. AIED 2015: 387-397 - 2014
- [b1]Anna N. Rafferty:
Applying Probabilistic Models for Knowledge Diagnosis and Educational Game Design. University of California, Berkeley, USA, 2014 - [j1]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): 1406-1431 (2014) - [c15]Stephan C. Meylan, Brett Goldstein, Anna N. Rafferty, Thomas L. Griffiths:
The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use. CogSci 2014 - [c14]Rebecca Neumann, Anna N. Rafferty, Thomas L. Griffiths:
A Bounded Rationality Account of Wishful Thinking. CogSci 2014 - [c13]Anna N. Rafferty, Jodi L. Davenport, David Yaron:
Tracking Student Understanding of Chemical Reactions in ChemVLab+. CogSci 2014 - [c12]Anna N. Rafferty, Thomas L. Griffiths:
Diagnosing Algebra Understanding via Bayesian Inverse Planning. EDM 2014: 351-352 - [c11]Anna N. Rafferty, Libby F. Gerard, Kevin W. McElhaney, Marcia C. Linn:
Promoting Student Learning through Automated Formative Guidance on Chemistry Drawings. ICLS 2014 - 2013
- [c10]Anna N. Rafferty, Elizabeth Gerard, Kevin W. McElhaney, Marcia C. Linn:
Automating Guidance for Students' Chemistry Drawings. AIED Workshops 2013 - [c9]Anna N. Rafferty, Jodi L. Davenport, Emma Brunskill:
Estimating Student Knowledge from Paired Interaction Data. EDM 2013: 260-263 - 2012
- [c8]Anna N. Rafferty, Matei Zaharia, Thomas L. Griffiths:
Optimally Designing Games for Cognitive Science Research. CogSci 2012 - [c7]Anna N. Rafferty, Michelle M. LaMar, Thomas L. Griffiths:
Inferring learners' knowledge from observed actions. EDM 2012: 226-227 - [c6]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 - 2011
- [c5]Anna N. Rafferty, Thomas L. Griffiths, Marc Ettlinger:
Exploring the Relationship Between Learnability and Linguistic Universals. CMCL@ACL 2011: 49-57 - [c4]Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto:
Faster Teaching by POMDP Planning. AIED 2011: 280-287
2000 – 2009
- 2009
- [c3]Daniel Ramage, Anna N. Rafferty, Christopher D. Manning:
Random Walks for Text Semantic Similarity. Graph-based Methods for Natural Language Processing 2009: 23-31 - 2008
- [c2]Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning:
Finding Contradictions in Text. ACL 2008: 1039-1047 - [i1]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 - 2007
- [c1]Anna N. Rafferty, Michael Yudelson:
Applying Learning Factors Analysis to Build Stereotypic Student Models. AIED 2007: 697-698
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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