Dr. David Quigley is a Research Associate in the Institute of Cognitive Science and Assistant Professor - Adjunct in the Department of Computer Science at CU Boulder. His research skill set centers on the use of learning analytics techniques to build machine learning models of student activity and understanding in science classrooms. During his Ph.D. program here at CU Boulder, Dr. Quigley worked on the Inquiry Hub Research-Practice Partnership and the Chicago City of Learning project. During his undergraduate and master's studies at Georgia Tech, Dr. Quigley worked with the Contextual Computing Group on a variety of projects.
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Embark on a journey to unravel the mysteries of the human mind and its parallels in artificial intelligence. This course offers an in-depth exploration of cognitive science's evolution and how it shapes our understanding of AI cognition. Perfect for enthusiasts curious about the future of technology and psychology.
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Discover how to tackle even the most challenging problems with our 'Methods for Solving Problems' course. Gain insights into diverse problem types and learn powerful strategies to overcome obstacles effectively.
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Discover how vision is a complex cognitive problem space in this engaging online course on Computational Vision. Learn to analyze and model different aspects of visual processing, explore the intricate relationship between the mind, brain, and computation, and gain insights into advanced models that enhance our understanding of perception.
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Dive deep into understanding the human mind with this comprehensive course. Learn how interpersonal dynamics, developmental milestones, and evolutionary influences combine to mold our problem-solving abilities, judgments, and decision-making processes.