Keywords
Mastery Paths; Canvas Learning Management System; General Chemistry; Adaptive Learning
Abstract
Mastery Paths (MP) is a flexible feature in the Canvas learning management system aimed at personalizing education for each student's learning requirements. It allows educators to create organized, adaptive learning pathways that provide specific content and evaluations tailored to student achievement in academic performance. Incorporating MP into a course allows educators to surpass static content pages and conventional quizzes, introducing an engaging assessment component without additional costs. Given the scarcity of published studies assessing the impact of MP on academic success, this research explored its application in a General Chemistry class. The purpose was to assess how structured practice and feedback provided through MP affected student comprehension of fundamental concepts and performance on critical assessments. Statistical analyses were conducted utilizing SPSS software (version 29) to compare assessment scores depending on students' levels of engagement with the MP modules. Results indicated a significant positive correlation between MP involvement and academic success in the class. Students who engaged actively with MP reached meaningfully better scores on high-stakes assessments, such as module quizzes and the first exam. The findings indicate that introducing adaptive learning pathways via MP can significantly boost conceptual understanding and increase success rates in introductory chemistry classes.
Thesis Completion Year
2026
Thesis Completion Semester
Spring
Thesis Chair
Lapeyrouse, Nicole
College
College of Sciences
Department
Chemistry
Thesis Discipline
Chemistry Education
Language
English
Access Status
Campus Access
Length of Campus Access
5 years
Campus Location
Orlando (Main) Campus
STARS Citation
Libos Maldonado, Paula, "Investigating the Significance of Canvas Mastery Paths on Student Academic Performance and Success Metrics in Undergraduate General Chemistry" (2026). Honors Undergraduate Theses. 517.
https://stars.library.ucf.edu/hut2024/517
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