Steven Moore

Steven Moore is a prolific researcher in educational data mining, AI in education, and learning analytics. He has co-authored 43 indexed works from 2011 to 2025, collaborating extensively with scholars such as John C. Stamper and Huy Anh Nguyen. His research addresses crowdsourcing in education, automated question generation, knowledge component extraction, and the application of generative AI to instructional design.

Research Interests:

• Educational Data Mining & Learning Analytics
• AI-driven Assessment & Question Generation
• Crowdsourcing & Learnersourcing at Scale
• Generative AI for Curriculum and Content Design
• Human-Computer Interaction in Learning Systems

Across his recent publications, Moore explores how large language models and automated toolkits can enhance the quality and scalability of educational content. His work increasingly integrates advanced NLP techniques—such as GPT-4-based evaluation—with rule-based systems to support both formative and summative assessment processes.