Chimeria: Grayscale MOOC: Towards Critical Self-Reflection at Scale
Name
l@s-2019.pdf
Description
Accepted version
Size
375.1 KB
Format
Unknown
Checksum (MD5)
2c629f7652c578843b4b3435eb21fc31
Author(s)
Ortiz, Pablo
Harrell, D. Fox
Date Issued
June 2019
Journal
Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale
Publisher
Association for Computing Machinery (ACM)
Citation
Ortiz, Pablo and Harrell, D. Fox. 2019. "Chimeria: Grayscale MOOC: Towards Critical Self-Reflection at Scale." Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale.
Version
Author's final manuscript
Abstract
Contemporary online learning systems are increasingly common elements of post-secondary, workplace, and lifelong education. These systems typically employ the transmission model of education to teach students, an approach ill-suited for fostering deeper learning. This paper presents our latest findings related to ongoing research developing a generalizable framework for supporting deeper learning in online learning systems. In this work, we focus on the self-debriefing component of our framework and its impact on deeper learning in online learning systems. To pursue this line of inquiry, we conducted an exploratory study evaluating the Chimeria:Grayscale MOOC, an online learning system that implements our framework. Our results suggest that self-debriefing is crucial for effectively supporting students' reflections.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3330430.3333638
