Conference proceeding
Supporting Metacognition in Online, Professional Graduate Courses
2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), v 2015-
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a model for metacognitive learning evaluation in a community of inquiry and discusses how it may be used to incentivize effective learning in online graduate courses. We identify patterns of behavior and peer-learner interactions that indicate social engagement in community model building, based on an extensive, qualitative analysis of online course discussions and student interaction data. We explore how metacognitive learning develops through socially-situated knowledge construction and demonstrate how community interactions result in deep learning. An extrinsic reward structure is suggested, in the form of a grading rubric that appears to encourage students to experiment with behaviors that provide the intrinsic rewards of metacognitive learning.
Metrics
21 Record Views
1 citations in Scopus
Details
- Title
- Supporting Metacognition in Online, Professional Graduate Courses
- Creators
- Jim Waters - Neumann UniversitySusan Gasson - Drexel University
- Contributors
- T X Bui (Editor)R H Sprague (Editor)
- Publication Details
- 2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), v 2015-
- Series
- Proceedings of the Annual Hawaii International Conference on System Sciences
- Publisher
- IEEE
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000366264100011
- Scopus ID
- 2-s2.0-84944225155
- Other Identifier
- 991019167423504721
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- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Operations Research & Management Science