Mastery-Based Testing Can Motivate Deep Learning in Mathematics Courses
Mastery-Based Testing Can Motivate Deep Learning in Mathematics Courses
What is this Research About?
What did the Researchers Do?
What did the Researchers Find?
→ How to Implement this Research in Your Classroom
This non-traditional assessment format forgives students for past performance and motivates them to revisit misunderstood concepts, thereby fostering a growth mindset approach to learning. To implement MBT in the classroom, it is important to make sure students understand how the grading system works. Instructors should emphasize that tests will be graded on an “all-or-nothing” basis, but that there will be several attempts to demonstrate mastery available for each concept. Suggestions for implementation include:
- Partitioning the course material into a dozen or more rich concepts
- Eliminating or reducing the use of partial credit
- Allowing multiple attempts for each concept
→ Citation
Collins, J. B., Harsy, A., Hart, J., Haymaker, K. A., Hoofnagle, A. M., Janssen, M. K., Kelly, J. S. Mohr, A. T. & OShaughnessy, J. (2019). Mastery-based testing in undergraduate mathematics courses. Problems, Resources, and Issues in Mathematics Undergraduate Studies, 29 (5), https://doi.org/10.1080/10511970.2018.1488317
→ Keywords
- Assessment
- Mastery
- Student Learning
- Mathematics
This work is licensed under the Creative Commons Attribution 2.0 Canada License
Snapshot Writer: Valeria Telles
Snapshot Publication Date: 2022
Upcoming Events
Contact Us