2025 ASEE Annual Conference & Exposition

In recent years, there has been a significant shift in how technology is integrated into education, especially in higher education. The adoption of advanced digital tools, such as Artificial Intelligence (AI), has become increasingly important to enhance the quality of teaching and learning. In information systems, it is essential to incorporate innovative pedagogical strategies that simulate real-world challenges and provide students with hands-on experience. Using AI-based tools in educational environments is key to bridging the gap between theoretical knowledge and practical application and improving students' readiness for future roles in the ever-changing technological landscape.
This article addresses the impact of using Artificial Intelligence (AI) to learn and manage information systems in a course within the Industrial Engineering program at Universidad Andrés Bello in Santiago, Chile. The study was conducted in an Information Systems course with 38 students, divided into two groups: experimental and control groups. The experimental group used AI tools, while the control group followed the traditional curriculum.
The central issue addressed is how incorporating AI-based assistants can improve efficiency in decision-making, code generation, platform evaluation, and the definition of evaluation parameters within the context of teaching information systems. By automating complex tasks, students are expected to evaluate alternatives more accurately and optimize processes in simulated environments.
This study aims to measure AI's impact on academic performance, satisfaction with the learning process, and the ability to apply knowledge to solve real-world problems. Two groups were implemented with a quasi-experimental methodology, and their results were evaluated through knowledge tests, satisfaction surveys, and the analysis of practical assignments. An ANOVA correlation analysis was conducted on the explored variables between the groups.
The results indicate a significant difference in academic performance between the groups and a notable preference for a more structured and practical educational approach, especially among students with a more robust foundational knowledge. This highlights the relevance of personalized and applied teaching methods in real-world contexts.
This approach examines how AI tools can be effectively integrated into an educational environment, preparing students to face future technological challenges with an innovative perspective on information systems management.