June 15, 2019
June 15, 2019
June 19, 2019
Computers in Education
Computer-based assessment has been shown to offer many benefits on the outcomes of student performance . The computational strengths of computer-based platforms allow for more in-depth collection and analysis of data from students of today than the many years previous. This access to data and performance outcomes allow us to learn more about the individual student instantly and to use this feedback to tailor adapted teaching and learning experiences on the fly. Here the University of Illinois Urbana-Champaign-developed PrairieLearn (PLN) platform is used to administer, assess, and collect minimally invasive tagged data from quizzes, homework, and exams of undergraduate students in sophomore-level engineering course. The information gathered from this platform is represented using an accessible radar plot format then analyzed using a novel method, based on the shape of the radar plot, to develop a greater understanding of the individual strengths and deficiencies of students. Finally, to establish appropriate context for this data it is correlated to a common student success metric and analyzed for potential trends.
Burks, G. R., & Amos, J. R., & Castleberry, C. W. (2019, June), Embedded Tagging and Radar Map Shape Analysis for Assessing Student Outcomes Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32702
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