About Me

I am a Computer Science teacher at the ISIS Ferraris-Buccini (Caserta, Italy) high school.

In February 2026, I obtained my PhD in Computer Science from the University of Salerno, defending the thesis “Validation-Driven LLM Architectures for Code Generation, Translation, and Automated Grading” under the supervision of Gennaro Costagliola and Mattia De Rosa.

My research interests focus on the intersection of Machine Learning and Software Engineering, including the application of Machine Learning techniques to compilers, the use of Large Language Models (LLMs) for program translation, and Computer Science Education.

News

• [Apr2026] Our paper entitled LLM-Based Rubric Grading for Programming Assignments: An Empirical Study has been accepted as a Full Paper to CSEDU2026.
• [Jun2025] Our paper entitled Evaluating Touch and Crown Interactions on a Linear QWERTY Soft Keyboard on Smartwatches has been accepted as a Full Paper to SMC2025.
• [Apr2025] Our paper entitled Large Language Models for Student Code Evaluation: Insights and Accuracy received the Best Student Paper Award in CSEDU2025.

Recent Publications

• LLM-Based Rubric Grading for Programming Assignments: An Empirical Study
  Accepted to CSEDU2026
  Alfonso Piscitelli, Mattia De Rosa, Vittorio Fuccella, Gennaro Costagliola (2026)
• Evaluating Touch and Crown Interactions on a Linear QWERTY Soft Keyboard on Smartwatches
  Accepted to SMC2025
  Gennaro Costagliola, Mattia De Rosa, Camilla Fiumarella, Vittorio Fuccella, Alfonso Piscitelli (2025)
• Descriptive Assessment of Student Code by LLMs: An Empirical Study
  Presented to HCII2025
  Alfonso Piscitelli, Mattia De Rosa, Vittorio Fuccella, Gennaro Costagliola (2025)
• Large Language Models for Student Code Evaluation: Insights and Accuracy
  Proceedings of the 17th International Conference on Computer Supported Education (CSEDU 2025) - Volume 2, pages 534-544 [Best Student Paper Award]
  Alfonso Piscitelli, Mattia De Rosa, Vittorio Fuccella, Gennaro Costagliola (2025)
• Assessing the Potential of an LLM-Powered System for Enhancing FHIR Resource Validation
  Accepted to MIE2025
  Parinaz Tabari, Alfonso Piscitelli, Mattia De Rosa, Gennaro Costagliola (2024)