Luz Petronila Blas Montenegro
Papers
1
Total Citations
3
H-Index
1
About
Luz Petronila Blas Montenegro is a dedicated researcher in engineering education and the integration of artificial intelligence into learning environments. Her work focuses on understanding how emerging technologies, particularly AI, reshape pedagogy in engineering and computer science disciplines. In her highly relevant 2023 systematic review, "Artificial Intelligence in Engineering and Computer Science Learning," she examines the accelerated adoption of AI tools during the COVID-19 pandemic, addressing critical questions about student and teacher engagement with these technologies. Though early in its citation impact, this paper has garnered 3 citations, signaling growing interest in her contributions to the field. Blas Montenegro’s research is notable for its timely exploration of how rapid technological change influences educational practices, offering insights into both the opportunities and challenges AI presents for future engineers and computer scientists. Her work serves as a foundational resource for educators and researchers seeking to navigate the evolving landscape of tech-enhanced learning, making her a promising voice in the intersection of AI and higher education.
Research Focus
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Top Papers
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