David Quigley

Dr. David Quigley is an Assistant Teaching Professor in the Department of Computer Science at the University of Colorado Boulder and a Research Associate at the Institute of Cognitive Science. He specializes in learning analytics, focusing on developing machine learning models to analyze student activity and understanding in science classrooms. His current work involves the eBRAVO project, which creates adaptive, AI-enhanced tools to support reading comprehension of expository texts.

Dr. Quigley holds a PhD from CU Boulder, where he contributed to the Inquiry Hub Research-Practice Partnership and the Chicago City of Learning initiative. His earlier studies at Georgia Tech with the Contextual Computing Group included projects on wearable computing and text input methods. His research bridges educational technology, cognitive science, and data-driven pedagogy.

Key research themes include:

• Adaptive learning systems
• Scientific inquiry modeling
• Educational equity through technology
• Data-driven curriculum design

His publications from 2014–2020 emphasize learning analytics applications in STEM education, educational equity, and digital tool development. While no formal awards are listed, his work demonstrates sustained impact in educational technology research.