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 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.
|Original language||English (US)|
|Journal||ASEE Annual Conference and Exposition, Conference Proceedings|
|State||Published - Jun 15 2019|
|Event||126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019 - Tampa, United States|
Duration: Jun 15 2019 → Jun 19 2019
ASJC Scopus subject areas