Journal of Statistics Education | |
Assessing the Association Between Precourse Metrics of Student Preparation and Student Performance in Introductory Statistics: Results from Early Data on Simulation-Based Inference vs. Nonsimulation-Based Inference | |
Beth Chance1  Soma Roy1  Nathan Tintle2  Jill VanderStoep3  Todd Swanson3  George Cobb4  Karen Fischer5  Jake Clark6  | |
[1] California Polytechnic University;Dordt College;Hope College;Mount Holyoke College;Texas A&M;University of Iowa; | |
关键词: Bootstrapping; CAOS; Conceptual understanding; Permutation test; Randomization; | |
DOI : 10.1080/10691898.2018.1473061 | |
来源: DOAJ |
【 摘 要 】
The recent simulation-based inference (SBI) movement in algebra-based introductory statistics courses (Stat 101) has provided preliminary evidence of improved student conceptual understanding and retention. However, little is known about whether these positive effects are preferentially distributed across types of students entering the course. We consider how two metrics of Stat 101 student preparation (precourse performance on concept inventory and math ACT score) may or may not be associated with end of course student performance on conceptual inventories. Students across all preparation levels tended to show improvement in Stat 101, but more improvement was observed across all student preparation levels in early versions of a SBI course. Furthermore, students' gains tended to be similar regardless of whether students entered the course with more preparation or less. Recent data on a sample of students using a current version of an SBI course showed similar results, though direct comparison with non-SBI students was not possible. Overall, our analysis provides additional evidence that SBI curricula are effective at improving students' conceptual understanding of statistical ideas postcourse regardless student preparation. Further work is needed to better understand nuances of student improvement based on other student demographics, prior coursework as well as instructor and institutional variables.
【 授权许可】
Unknown