Power Up Math Practice With Self-Grading Circuits
Self-grading circuits give students quick, hands-on math practice with instant feedback, boosting engagement and mastery while reducing grading time for instructors. Perfect for energizing any course.
Presented by:
Brittney Seale, Colorado Mountain College

Hear it from the author:
Transcript:
Key Words:
Interactive, Engaging, Self-Grading
Abstract:
Self-grading circuits provide a fast and interactive way for students to practice skills with instant feedback, increasing engagement, accuracy, and independence while reducing grading time for instructors. This presentation introduces how circuits can enhance math practice in both in-person and online courses and highlights simple ways to incorporate them into existing activities. Although especially effective in math, circuits also support learning in chemistry, physics, language study, and other subjects that benefit from frequent skill checks and repetition. This session aims to raise awareness of an easy and impactful strategy that can energize teaching and learning across many disciplines.
Outcomes:
1. Analyze how self-grading circuits support student engagement, feedback, and mastery in college courses.
2. Compare and contrast circuits with traditional practice methods to evaluate their instructional benefits.
3. Generate ideas for adapting self-grading circuits to their own disciplines and course activities.
References:
Lu, C., & Cutumisu, M. (2022). Online engagement and performance on formative assessments mediate the relationship between attendance and course performance. International Journal of Educational Technology in Higher Education, 19(1), 2. https://doi.org/10.1186/s41239-021-00307-5
Chambers, A. W., & Harkins Monaco, E. (2023). Increasing student engagement with instructor feedback using criteria-based rubrics as a tool for self-assessment. Journal of the Scholarship of Teaching and Learning, 23(2). https://doi.org/10.14434/josotl.v23i2.33715
Miller, C. (2017). Use of an Automated Grading Circuit for a Lab-based Course. In Proceedings of the 2017 ASEE Annual Conference & Exposition.