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Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning

Barria-Pineda, Jordan and Guerra, Julio and Huang, Yun and Brusilovsky, Peter (2017) Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. In: The 22nd International Conference on Intelligent User Interfaces, March 13 - 16, 2017, Limassol, Cyprus.

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Abstract

Mastery Grids is an intelligent interface that provides access to different kinds of practice content for an introductory programming course. A distinctive feature of the interface is a parallel topic-level visualization of student progress and the progress of their peers. This contribution presents an extended version of the original system that features a fine-grained visualization of student knowledge on the level of the detailed concepts that are associated with the course. The student model is based on a Bayesian-network which is built using students performance history in the learning activities.


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Details

Item Type: Conference or Workshop Item (Other)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Barria-Pineda, Jordanjab464@pitt.eduJAB4640000-0002-4961-4818
Guerra, Juliojdg60@pitt.eduJDG60
Huang, Yunyuh43@pitt.eduYUH43
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 7 March 2017
Date Type: Publication
Publisher: ACM
Place of Publication: New York, NY, USA
Page Range: pp. 141-144
Event Title: The 22nd International Conference on Intelligent User Interfaces
Event Dates: March 13 - 16, 2017
Event Type: Conference
DOI or Unique Handle: 10.1145/3030024.3038262
Schools and Programs: School of Information Sciences > Information Science
Refereed: No
ISBN: 978-1-4503-4893-5
Official URL: http://dl.acm.org/citation.cfm?doid=3030024.303826...
Date Deposited: 09 Aug 2017 15:11
Last Modified: 09 Aug 2017 15:11
URI: http://d-scholarship.pitt.edu/id/eprint/32817

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