Jorge Olivares

Papers

Total Citations

H-Index

About

Jorge Olivares is a rising voice in the intersection of educational technology and artificial intelligence, with a focused lens on engineering and computer science pedagogy. His most cited work, a 2023 systematic review titled “Artificial Intelligence in Engineering and Computer Science Learning,” critically examines how the rapid acceleration of digital tools—spurred by the COVID-19 pandemic—has reshaped student and teacher engagement. In this study, Olivares tackles a pressing question: why do engineering and computer science students adopt or resist AI in their learning environments? By synthesizing current evidence, he provides a foundational map of the challenges and opportunities in AI-driven education, earning early recognition with 3 citations and growing influence among educators and technologists. His research bridges the gap between technological innovation and practical classroom application, offering insights that help design more effective, adaptive curricula. As a scholar, Olivares is carving out a niche at the crossroads of human-computer interaction and STEM education, making his work essential reading for anyone interested in how AI can transform the way future engineers and computer scientists learn.