Chi’s Research Aims to Help Teachers Teach Better
Dr. Min Chi, assistant professor of computer science at NC State University, has been awarded $297,754 by the National Science Foundation (NSF) to support her research proposal entitled “Using Real-Time Multichannel Self-Regulated Learning Data to Enhance Student Learning and Teachers’ Decision-Making with MetaDash.”
The award will run from April 1, 2017 to March 31, 2020.
Abstract – This 3-year project will focus on laboratory and classroom research in the Raleigh-Chapel-Hill, and Durham areas. A team of interdisciplinary researchers from the Departments of Psychology (PI - Dr. Roger Azevedo), Computer Science (Co-PI - Dr. Min Chi), and STEM Education (Co-PI - Dr. Soonhye Park) at NC State will conduct empirical and observational research aimed at improving teachers' decision-making based on their analyses of students' real-time, multi-channel self-regulated learning data. We will use multi-channel data to understand the nature of self-regulatory processes in students while using MetaTutor to understand challenging science topics (e.g., human biological systems). This will be accomplished by aligning and conducting complex computational and statistical analyses of a multitude of trace data (e.g., log-files, eye-tracking, facial expression of emotions), behavioral (e.g., human-pedagogical agent dialogue moves), and physiological measures (e.g., EDA), learning outcomes, and classroom data (e.g., teacher-student interactions, gaze behavior of teachers’ attention and use of data presented by the visualization tool). The proposed research, in the context of using MetaTutor and a visualization tool for teachers, is extremely challenging and will help us to better understand the nature and temporal dynamics of these processes in classroom contexts, how they contribute to various types of learning and use of self-regulatory skills, and provide empirical basis for designing an intelligent teacher analytics tool. The results from this grant will contribute significantly to models of social and cognitive bases of student-machine-teacher interactions; statistical and computational methods used to make inferences from complex multi-channel data; theoretical and conceptual understanding of temporally-aligned data streams; enhancing students’ understanding of complex science topics by making more sensitive and intelligent advanced learning technologies; and, enhanced understanding of how teachers use real-time student data to enhance their instructional decision-making, based on data presented in teacher analytic tools.
This project is a collaborative effort between NC State’s Departments of Computer Science (Dr. Min Chi), STEM Education (Dr. Soonhye Park), and Psychology where Dr. Roger Azevedo, Professor of Psychology, is the leader of the project. Total funding for the project is $1,400,539.
For more information on Dr. Chi, click here.
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