Alignment Between Learning Objectives and Assessments in a Quantitative Literacy Course

Yonggon Bae, Michigan State University, Samuel Tunstall, Kathryn Knowles, Rebecca Matz, Michigan State University, Michigan State University, Michigan State University
2019 Numeracy  
In this analysis, we examine how course assessment items were aligned with learning objectives in a quantitative literacy course at Michigan State University. The alignment analysis consisted of mapping assessment items to a list of operationalized learning objectives from the course. Our analysis shows how often the learning objectives are represented in assessment items, how often they are paired with other learning objectives, and how influential they are in contributing to a student's
more » ... grade. In addition, through comparisons across four assessment types (e.g., exams and homework), we show how each learning objective was assessed differently within each assessment type. The most frequently represented learning objectives in the particular course we studied concern the creation and interpretation of graphical representations; these learning objectives were assessed relatively evenly across the assessment types. However, those learning objectives often co-occurred with other objectives in assessment items, and the point values per item associated with these objectives were less than those for other objectives. Our study shows how quantitative literacy learning objectives can vary with assessment type in a course, and also provides numeracy scholars with an analysis technique suitable for use at their respective institutions. Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License Cover Page Footnote Younggon Bae is a doctoral candidate in mathematics education at Michigan State University. His research focuses on curriculum design and technology for undergraduate mathematics courses.
doi:10.5038/1936-4660.12.2.10 fatcat:uipv64ix3fbnzlu4lp3i5semqe