TY - JOUR
T1 - Embedded tagging and radar map shape analysis for assessing student outcomes
AU - Burks, Gabriel R.
AU - Amos, Jennifer R.
AU - Castleberry, Colin Widmer
N1 - Funding Information:
This work is supported by NSF IUSE/PFE:RED - #1623141and covered under University of Illinois IRB #14864.
Publisher Copyright:
© American Society for Engineering Education, 2019
PY - 2019/6/15
Y1 - 2019/6/15
N2 - Computer-based assessment has been shown to offer many benefits on the outcomes of student performance [1]. 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 a locally developed computer-based testing platform is used to administer, assess and collect stealth identification 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.
AB - Computer-based assessment has been shown to offer many benefits on the outcomes of student performance [1]. 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 a locally developed computer-based testing platform is used to administer, assess and collect stealth identification 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.
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U2 - 10.18260/1-2--32702
DO - 10.18260/1-2--32702
M3 - Conference article
AN - SCOPUS:85078809658
SN - 2153-5965
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
T2 - 126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019
Y2 - 15 June 2019 through 19 June 2019
ER -