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Time is of the Essence: Log-Based Investigation of the Interplay between Feedback Elaboration, Time to Process Feedback, and Task Success in Online Mathematics
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, , Tel Aviv University, Israel

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in New Orleans, Louisiana, United States ISBN 978-1-939797-45-2 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

Feedback is a powerful instructional tool. However, even after decades of thorough studies, some questions regarding feedback remain unanswered. In particular, it is yet to be determined whether feedback elaboration is indeed helpful to students. In the study presented here, we take a learning analytics approach to investigate the effect of different types of task-level, computer-based feedback in a popular online learning environment for Mathematics (Khan Academy). Specifically, we run a set of randomized controlled experiments on a large scale—with a total of over 26,000 participants—to study the interplay between feedback type (simple vs. two types of elaboration), the time to re-submit an answer after receiving feedback on incorrect submission to current question (referred to as feedback latency), and success on current and subsequent questions. Results suggest a clear effect of feedback elaboration on feedback latency; superior efficiency of symbolic elaborated feedback over verbal elaborated feedback; and superior efficiency of both over simple feedback. We conclude with implications for practitioners.

Citation

Gal, T. & Hershkovitz, A. (2019). Time is of the Essence: Log-Based Investigation of the Interplay between Feedback Elaboration, Time to Process Feedback, and Task Success in Online Mathematics. In S. Carliner (Ed.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 86-97). New Orleans, Louisiana, United States: Association for the Advancement of Computing in Education (AACE). Retrieved December 5, 2019 from .