How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game. - Rachel Harred; Christa Cody; Mehak Maniktala; Preya Shabrina; Tiffany Barnes; Collin F. Lynch (EDM (Workshops), 2019)

The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. - Preya Shabrina; Samiha Marwan; Min Chi; Thomas W. Price; Tiffany Barnes (CSEDM@EDM, 2020)

Data-informed curriculum sequences for a curriculum-integrated game. - Ruth Okoilu Akintunde; Preya Shabrina; Veronica Cateté; Tiffany Barnes; Collin F. Lynch; Teomara Rutherford (LAK, 2020)

Peeking through the classroom window: a detailed data-driven analysis on the usage of a curriculum integrated math game in authentic classrooms. - Preya Shabrina; Ruth Okoilu Akintunde; Mehak Maniktala; Tiffany Barnes; Collin F. Lynch; Teomara Rutherford (LAK, 2020)

Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving. - Yihuan Dong; Samiha Marwan; Preya Shabrina; Tiffany Barnes; Thomas W. Price (EDM, 2021)

You Really Need Help: Exploring Expert Reasons for Intervention During Block-based Programming Assignments. - Yihuan Dong; Preya Shabrina; Samiha Marwan; Tiffany Barnes (ICER, 2021)

Promoting Students' Progress-Monitoring Behavior during Block-Based Programming. - Samiha Marwan; Preya Shabrina; Alex Milliken; Ian Menezes; Veronica Cateté; Thomas W. Price; Tiffany Barnes (Koli Calling, 2021)

The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. - Mark Abdelshiheed; John Wesley Hostetter; Preya Shabrina; Tiffany Barnes; Min Chi (CogSci, 2022)

A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. - Preya Shabrina; Samiha Marwan; Andrew Bennison; Min Chi; Thomas W. Price; Tiffany Barnes (CoRR, 2022)

Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. - Preya Shabrina; Behrooz Mostafavi; Min Chi; Tiffany Barnes (AIED, 2023)

Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. - Preya Shabrina; Behrooz Mostafavi; Sutapa Dey Tithi; Min Chi; Tiffany Barnes (EDM, 2023)

Trusting code in the wild: A social network-based centrality rating for developers in the Rust ecosystem. - Nasif Imtiaz; Preya Shabrina; Laurie A. Williams (CoRR, 2023)

Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. - Preya Shabrina; Behrooz Mostafavi; Mark Abdelshiheed; Min Chi; Tiffany Barnes (Int. J. Artif. Intell. Educ., 2024)

Trusting Code in the Wild: Exploring Contributor Reputation Measures to Review Dependencies in the Rust Ecosystem. - Sivana Hamer; Nasif Imtiaz; Mahzabin Tamanna; Preya Shabrina; Laurie A. Williams (IEEE Trans. Software Eng., 2025)