Authenticity in K-12 Computer Science

Studying how students perceive authenticity in programming and how those perceptions shape learning.

This line of work examines how authenticity is experienced in high school CS classrooms, what makes block-based programming feel legitimate or not, and how those perceptions influence engagement and learning. It is part of my PhD work at Northwestern with Professor Eleanor O’Rourke and the Delta Lab.

  1. CHI Paper Starting From Scratch Again and Again: Tracing the Origins of High Schoolers’ Negative Perceptions of Block-Based Programming
    Caryn Tran, Kristin Fasiang*, Max Kanwal*, and Eleanor O’Rourke
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, Apr 2026
  2. ICER Paper Exploring Student-Perceived Dimensions of Authenticity in High School Computer Science
    Caryn Tran, Max Kanwal, Kristin Fasiang, and Eleanor O’Rourke
    In Proceedings of the 2025 ACM Conference on International Computing Education Research V. 1, Aug 2025
  3. ICER Poster Understanding Novices’ Perceptions of “Authentic” Programming
    Caryn Tran and Eleanor O’Rourke
    In Proceedings of the 2023 ACM Conference on International Computing Education Research-Volume 2, Aug 2023
  4. Lambert Poster Investigating the Negative Perceptions of Blocks-Based Programming
    Investigating the Negative Perceptions of Blocks-Based Programming
    Caryn Tran, Kristin Fasiang, and Eleanor O’Rourke
    In Lambert Conference on the Future of Human-Computer Interaction + Design, Northwestern University, Oct 2022