Abstract

This work investigates the causal correlation between the resolution of a programming guide and academic performance in an introductory programming course at Andrés Bello University in Chile. Specifically, we explore whether completing a guide comprising fifty-two exercises can predict first-year students' performance on the initial test of the course. In particular, we propose utilizing causal modelling framework to analyze and comprehend the impact of programming guides on student performance. The research encompasses a review of pertinent literature, a descriptive examination of collected data, and a discussion on both practical and theoretical implications. The findings aim to enhance strategies for student support and inform decision-making regarding the educational utility of guides © 2024 IEEE.