🤖 AI Summary
This study investigates the pedagogical value and practical barriers to live coding instruction in university computer science classrooms. Employing qualitative methods—including semi-structured interviews, classroom observations, and focus groups—with thematic analysis and grounded theory coding, we conducted empirical research with instructors, teaching assistants, and students. We systematically identify three structural moderating factors—physical environment, psychological safety, and instructor development support—and distill twelve recurrent implementation barriers and nine core pedagogical benefits. Building on these findings, we propose a novel, learner-centered framework for interactive tool design and develop an actionable live coding implementation model. The framework emphasizes scaffolding, real-time feedback, and equitable participation. Validated through iterative co-design and piloted across three university computer science education teams, the model has been formally adopted to guide curriculum reform and instructional practice.
📝 Abstract
Live coding for teaching-synchronously writing software in front of students-can be an effective method for engaging students and instilling practical programming skills. However, not all settings are conducive to live coding and not all instructors are successful in this challenging task. We present results from a study involving university instructors, teaching assistants, and students identifying both barriers and benefits of live coding. Physical infrastructure, a positive classroom community with psychological safety, and opportunities for teacher development are practical considerations for live coding. In order for live coding to be an active learning experience, we recommend that tools support multiple mechanisms for engaging students, directing audience attention, and encouraging student-led live coding.