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Tuesday, November 22, 2022 at 12:20pm
Clark Hall, 700 Central Campus, 142 Sciences Drive
Assistant Professor of Physics
University of Central Florida
Building a Microscope for Learning: Observing patterns in students’ physics learning process through the lenses of data analysis
How are students learning in an online environment? In particular, how does their learning behavior change as a result of instructional decisions such as making an assignment required or optional, or giving extra credit for early completion? To build a “microscope” that will allow instructors to observe and measure student learning, my group has developed methods and tools to process and extract patterns from large time-stamped clickstream data set from online learning systems. The “body” of this “microscope” is a mastery-based learning system that combines instruction, practice and assessment into sequences of learning modules, which allow different students to proceed at their own pace. Data from those modules are processed using a multi-level clustering analysis scheme, based on the theoretical framework of self-regulated learning, and utilizing a number of un-supervised machine-learning techniques. The analysis scheme produces high-resolution “images” of the learning strategies adopted by students, and enable researchers to quantitatively measure how those strategies change as a result of different instructional designs. In this talk I will introduce several examples of this data-driven “design-observe-evaluate” cycle, and its potential impact on the future of physics and STEM education. In addition, I will also discuss challenges of creating such a cycle, especially the challenges posed by resource sharing websites such as Chegg, and introduce ways of overcoming this challenge.
Hosted by Natasha Holmes
Pizza served starting at 12:10 p.m.
Please bring your own beverage
For those who cannot attend in person but would like to see the seminar, livestream only will be available via Zoom:
Webinar ID: 987 2279 9978