| 2026 | SIGCSE | Examining Students' Code Comprehension with LLMs in Block- and Text-Based Programming. | Shan Zhang, Toni V. Earle-Randell, Priyadharshini Ganapathy Prasad, Zifeng Liu, Yang Shi, Suma Bhat, Maya Israel, Anthony F. Botelho |
| 2026 | SIGCSE | Investigating High School Students' Code Comprehension and Strategy Use Across Block-Based and Text-Based Programming. | Shan Zhang, Priyadharshini Ganapathy Prasad, Toni V. Earle-Randell, Yang Shi, Suma Bhat, Maya Israel |
| 2026 | SIGCSE | Exploring K-12 In-Service Teachers' Strategies Applied in Learning Java for The First Time. | Latoya Chandler, Priyadharshini Ganapathy Prasad, Rui Huang, Maya Israel |
| 2026 | SIGCSE | Diagnosing Students' Understanding of Objects and Classes in OOP. | Priyadharshini Ganapathy Prasad |
| 2025 | ICER | Creating an Instrument to Measure Undergraduate Computer Science Students' Self-Efficacy in Object-Oriented Programming (OOP): Preliminary Validity and Reliability Evidence. | Priyadharshini Ganapathy Prasad, Karthikeyan Umapathy, Albert D. Ritzhaupt, Amanpreet Kapoor |
| 2025 | SIGCSE | Exploring K-12 In-Service Teachers' Process of Plan Monitor Evaluation in Java programming. | Latoya Chandler, Rui Huang, Maya Israel, Priyadharshini Ganapathy Prasad |
| 2025 | SIGCSE | An LLM-Based Framework for Simulating, Classifying, and Correcting Students' Programming Knowledge with the SOLO Taxonomy. | Shan Zhang, Pragati Shuddhodhan Meshram, Priyadharshini Ganapathy Prasad, Maya Israel, Suma Bhat |