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Modeling, Mining, and Visualizing Student Learning of Science and Engineering Practices From Digital Traces

Sat, April 9, 10:35am to 12:05pm, Convention Center, Floor: Level One, Room 145 A

Session Type: Symposium

Abstract

The objective of this symposium is to introduce learning analytics approaches specifically designed to research student learning of science and engineering practices such as experimentation, argumentation, collaboration, and engineering design. From the perspectives of four research projects, this symposium addresses the need and successful examples for developing and testing analytics in classroom settings. Each presentation will focus on (1) identifying a science or engineering practice, (2) developing learning activities and collecting data relevant to the practice, (3) inventing or applying learning analytics to analyze a large amount of data as effectively and meaningfully as possible, and (4) visualizing analyzed learning data to inform teachers, students, curriculum developers, and researchers.

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