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Teaching Teachers to Use Computer Assisted Learning Effectively: Experimental and Quasi-Experimental Evidence

Mastery learning – the process by which students must demonstrate proficiency with a single topic before moving on – is well recognized as one of the best ways to learn, yet many teachers struggle or remain unsure about how to implement it into a classroom setting. This study leverages two field experiments to test the efficacy of a program designed to encourage greater mastery learning through technology and proactive continuous teacher support. Focusing on elementary and middle school mathematics, teachers receive weekly coaching in how to use Computer Assisted Learning (CAL) for students to follow a customized roadmap of incremental progress. Results indicate significant intent-to-treat effects on math performance of 0.12-0.22 standard deviations. Further analysis shows that these gains are concentrated among students in classrooms with at least an average of 35 minutes of practice per week. Teachers able to achieve high-dosage practice have a high degree of initial buy-in, a clear implementation strategy for when practice occurs, and a willingness to closely monitor progress and follow-up with struggling students.

Keywords
computer assisted learning, Khan Academy, personalized instruction, randomized controlled trial
Education level
Document Object Identifier (DOI)
10.26300/znjb-1v83

EdWorkingPaper suggested citation:

Oreopoulos, Philip, Chloe Gibbs, Michael Jensen, and Joseph Price. (). Teaching Teachers to Use Computer Assisted Learning Effectively: Experimental and Quasi-Experimental Evidence. (EdWorkingPaper: 24-1036). Retrieved from Annenberg Institute at Brown University: https://doi.org/10.26300/znjb-1v83

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