Juliana Tay

Juliana Tay's work spans education and training research, moving from earlier studies on gifted and talented students, arts education, and STEM enrichment toward more recent work on digital game-based learning, adaptive learning technologies, and AI-assisted training tools for construction industry professionals. Recent projects combine educational psychology concepts (like Bloom's Taxonomy and learner agency) with technical methods such as machine learning, structural equation modeling, and large language models (LLMs) to study how professionals learn safety and technical skills. This researcher would suit students interested in the intersection of learning design, workplace training, and emerging educational technologies.

Publication output has been modest but fairly steady over the past decade, fluctuating between 1 and 4 papers per year with a slight recent shift toward technology-focused training research.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026