Nicolas Silver Manco Arroyo
Papers
1
Total Citations
3
H-Index
1
About
Nicolas Silver Manco Arroyo is a rising scholar at the intersection of artificial intelligence and engineering education, with a focused interest in how AI transforms learning environments in technical disciplines. His most-cited work, a 2023 systematic review titled "Artificial Intelligence in Engineering and Computer Science Learning," has garnered 3 citations and critically examines the rapid integration of AI tools into curricula, accelerated by the COVID-19 pandemic. The study addresses a pressing question: why engineering and computer science students and teachers remain ambivalent about AI adoption, despite its potential. Manco Arroyo’s contribution lies in synthesizing fragmented evidence to reveal both the pedagogical promise and the human resistance to technological change in STEM education. His work underscores the need for balanced implementation strategies that account for user skepticism. While early in his career, his systematic approach offers a foundational resource for educators and researchers navigating AI’s role in higher education. Manco Arroyo’s research signals a commitment to bridging technology and learning theory, making him a voice to watch in the evolving discourse on AI-driven pedagogy.
Research Focus
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Top Papers
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