Anna N. Rafferty
Orcid: 0000-0002-8319-5370
According to our database1,
Anna N. Rafferty
authored at least 57 papers
between 2007 and 2024.
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Bibliography
2024
CoRR, 2024
Playing with Matches: Adopting Gale-Shapley for Managing Student Enrollments Beyond CS2.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2023
2022
CoRR, 2022
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022
Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study.
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
2021
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR, 2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR, 2021
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Cogn. Sci., 2020
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020
Getting too personal(ized): The importance of feature choice in online adaptive algorithms.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
Proceedings of the 27th International Conference on Program Comprehension, 2019
Linking code readability, structure, and comprehension among novices: it's complicated.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training, 2019
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017
Eliciting Middle School Students' Ideas About Graphs Supports Their Learning from a Computer Model.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
Proceedings of the Third ACM Conference on Learning @ Scale, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
2015
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015
2014
PhD thesis, 2014
Cogn. Sci., 2014
Promoting Student Learning through Automated Formative Guidance on Chemistry Drawings.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014
Proceedings of the 7th International Conference on Educational Data Mining, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
2012
Proceedings of the Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
2011
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011
Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics, 2011
2009
Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009
2008
Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment.
Proceedings of the First Text Analysis Conference, 2008
2007
Applying Learning Factors Analysis to Build Stereotypic Student Models.
Proceedings of the Artificial Intelligence in Education, 2007