Anna Rafferty

Anna Rafferty

Carleton College

H-index: 22

North America-United States

About Anna Rafferty

Anna Rafferty, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Carleton College, specializes in the field of artificial intelligence, cognitive science, computational modeling, education.

His recent articles reflect a diverse array of research interests and contributions to the field:

Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students

Playing with Matches: Adopting Gale--Shapley for Managing Student Enrollments Beyond CS2

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

LENS: Predictive Diagnostics for Flexible and Efficient Assessments

ChemVLab+: Integrating Next Generation Science Standards Practices with Chemistry

Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision

Anna Rafferty Information

University

Position

Assistant Professor

Citations(all)

2398

Citations(since 2020)

1361

Cited By

1546

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

Carleton College

Google Scholar

View Google Scholar Profile

Anna Rafferty Skills & Research Interests

artificial intelligence

cognitive science

computational modeling

education

Top articles of Anna Rafferty

Title

Journal

Author(s)

Publication Date

Growth in Knowledge of Programming Patterns: A Comparison Study of CS1 vs. CS2 Students

Sara Nurollahian

Anna N Rafferty

Noelle Brown

Eliane Wiese

2024/3/7

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

...

2024/3/7

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

Paul Denny

Sumit Gulwani

Neil T Heffernan

Tanja Käser

Steven Moore

...

2024/2/2

Platform-based Adaptive Experimental Research in Education: Lessons Learned from Digital Learning Challenge

Ilya Musabirov

Mohi Reza

Steven Moore

Pan Chen

Harsh Kumar

...

2024

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health

Proceedings of the AAAI Conference on Artificial Intelligence

Harsh Kumar

Tong Li

Jiakai Shi

Ilya Musabirov

Rachel Kornfield

...

2024/3/24

LENS: Predictive Diagnostics for Flexible and Efficient Assessments

S Thomas Christie

Hayden Johnson

Carson Cook

Garron Gianopulos

Anna N Rafferty

2023/7/20

ChemVLab+: Integrating Next Generation Science Standards Practices with Chemistry

Journal of Chemical Education

Sierra McCormick

Jodi L Davenport

Anna N Rafferty

Sandra Raysor

Jacklyn Yani

...

2023/6/3

Improving Assessment of Programming Pattern Knowledge through Code Editing and Revision

Sara Nurollahian

Anna N Rafferty

Eliane Wiese

2023/5/14

Getting too personal (ized): The importance of feature choice in online adaptive algorithms

arXiv preprint arXiv:2309.02856

ZhaoBin Li

Luna Yee

Nathaniel Sauerberg

Irene Sakson

Joseph Jay Williams

...

2023/9/6

Readable vs. writable code: A survey of intermediate students' structure choices

Eliane Wiese

Anna N Rafferty

Jordan Pyper

2022/2/22

FATED 2022: Fairness, accountability, and transparency in educational data

Proceedings of the 15th international conference on educational data mining

Collin Lynch

Mirko Marras

Mykola Pechenizkiy

Anna Rafferty

Steve Ritter

...

2022

Adversarial Bandits for Drawing Generalizable Conclusions in Non-Adversarial Experiments: An Empirical Study.

International Educational Data Mining Society

Yang Zhi-Han

Shiyue Zhang

Anna N Rafferty

2022

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits

arXiv preprint arXiv:2208.05090

Fernando J Yanez

Angela Zavaleta-Bernuy

Ziwen Han

Michael Liut

Anna Rafferty

...

2022/8/10

How can email interventions increase students’ completion of online homework? A case study using A/B comparisons

Angela Zavaleta Bernuy

Ziwen Han

Hammad Shaikh

Qi Yin Zheng

Lisa-Angelique Lim

...

2022/3/21

Student motivations and goals for CS1: themes and variations

David Liben-Nowell

Anna N Rafferty

2022/2/22

Using Adaptive Experiments to Rapidly Help Students

Angela Zavaleta-Bernuy

Qi Yin Zheng

Hammad Shaikh

Jacob Nogas

Anna Rafferty

...

2021/6/12

The MOOClet framework: unifying experimentation, dynamic improvement, and personalization in online courses

Mohi Reza

Juho Kim

Ananya Bhattacharjee

Anna N Rafferty

Joseph Jay Williams

2021/6/8

A rational model of the Dunning–Kruger effect supports insensitivity to evidence in low performers

Nature Human Behaviour

Rachel A Jansen

Anna N Rafferty

Thomas L Griffiths

2021/6

Students’ misunderstanding of the order of evaluation in conjoined conditions

Eliane S Wiese

Anna N Rafferty

Garrett Moseke

2021/5/20

Algorithms for adaptive experiments that trade-off statistical analysis with reward: Combining uniform random assignment and reward maximization

arXiv preprint arXiv:2112.08507

Tong Li

Jacob Nogas

Haochen Song

Harsh Kumar

Audrey Durand

...

2021/12/15

See List of Professors in Anna Rafferty University(Carleton College)