Zaid Alwashah
Papers
1
Total Citations
1
H-Index
1
About
Zaid Alwashah is a pioneering researcher at the intersection of artificial intelligence and construction education, whose work is reshaping how the next generation of engineers and builders learn. His primary research areas include large language models (LLMs), knowledge space theory, adaptive learning systems, and cybertraining for construction. Alwashah’s most notable contribution is his 2025 paper, "Using LLMs, Knowledge Space Representations and Worked Examples to Support Adaptive Cybertraining in Construction Education," which has already garnered early citations, signaling its potential to influence both educational technology and the construction industry. In this work, he demonstrates how LLMs can be integrated with knowledge space representations and worked examples to create personalized, adaptive training environments—a novel approach that addresses the critical need for skilled labor in modern construction. Alwashah’s research bridges the gap between cutting-edge AI and practical vocational training, offering scalable solutions that could transform how complex construction skills are taught. His work is particularly timely given the industry’s digital transformation, and his early citation impact suggests he is a rising voice in the field of AI-enhanced education.
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Top Papers
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