Workshop: AI Innovative Approach Assessment. Applied to the Programming Courses with JULIUS

Martinez-Montezuma J.R.; Maya-Duran S.E.; Luna A.; Chong M. · EDUNINE 2026 - 10th IEEE World Engineering Education Conference: The Role of Engineering and Computer Technology as Artificial Intelligence turns into Reality: A Challenge for Professional Education, Proceedings (2026) · DOI: 10.1109/edunine62390.2026.11546813

Resumen

Assessment in programming courses represents a constant challenge, especially for young students without training in computer science. This workshop presents JULIUS, an intelligent assessment assistant that supports instructors in generating students' feedback on PSeInt algorithms. Through a structured methodology based on the 'traffic light method,' JULIUS enables the analysis considering inputs, processes, and outputs before evaluating pseudocode, thereby reducing subjectivity, improving error traceability, and enhancing teacher efficiency in the classroom. The system generates personalized reports, group performance indicators, and identifies error patterns, facilitating precise pedagogical interventions. This approach fosters understanding of logical thinking and transforms assessment into a formative experience for students and instructors.

Instituciones: Universidad del Pacífico