Nancy Barazorda Puga

Papers

Total Citations

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About

Nancy Barazorda Puga is a rising scholar at the intersection of educational technology and artificial intelligence, with a primary focus on how AI transforms engineering and computer science learning. Her most-cited work, a 2023 systematic review titled "Artificial Intelligence in Engineering and Computer Science Learning," examines the rapid acceleration of technology adoption driven by the COVID-19 pandemic, analyzing why students and teachers have both embraced and resisted these tools. This foundational paper has garnered 3 citations, establishing her as a thoughtful voice in the conversation around digital pedagogy. Barazorda Puga’s research critically explores the tensions between technological innovation and educational practice, offering insights into the barriers and opportunities for AI integration in technical disciplines. Her work is particularly valuable for educators and researchers seeking evidence-based frameworks to navigate the post-pandemic shift toward AI-enhanced curricula. As a researcher, she contributes to a growing body of literature that seeks to bridge the gap between cutting-edge technology and effective learning outcomes, making her a key figure to watch in the evolving landscape of engineering education.