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Integrating Categories of Algorithm Learning Objective into Algorithm Visualization Design: a Proposal

Lee, Ming-Han and Rößling, Guido (2010):
Integrating Categories of Algorithm Learning Objective into Algorithm Visualization Design: a Proposal.
In: Proceedings of the ACM SIGCSE Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2010), Ankara, Turkey, ACM Press, New York, NY, USA, [Conference or Workshop Item]

Abstract

Algorithm Visualization (AV) can be analyzed and evaluated through three properties: the symbol system, the interactivity, and the didactic structure. While the relationship between various symbol systems have been researched and efforts to increase learner and AV interaction are being made, the importance and potential of the didactic structure of AV is yet to be explored. In view of this deficiency, this paper proposes Categories of Algorithm Learning Objective (CALO) as a pedagogical framework for designing and structuring AV. Based on seven non-hierarchical learning objectives commonly found in CS education, CALO provides a conceptual framework for a more learner-centered design, as well as a shared language for educators, learners and designers for communication and evaluation.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Lee, Ming-Han and Rößling, Guido
Title: Integrating Categories of Algorithm Learning Objective into Algorithm Visualization Design: a Proposal
Language: German
Abstract:

Algorithm Visualization (AV) can be analyzed and evaluated through three properties: the symbol system, the interactivity, and the didactic structure. While the relationship between various symbol systems have been researched and efforts to increase learner and AV interaction are being made, the importance and potential of the didactic structure of AV is yet to be explored. In view of this deficiency, this paper proposes Categories of Algorithm Learning Objective (CALO) as a pedagogical framework for designing and structuring AV. Based on seven non-hierarchical learning objectives commonly found in CS education, CALO provides a conceptual framework for a more learner-centered design, as well as a shared language for educators, learners and designers for communication and evaluation.

Title of Book: Proceedings of the ACM SIGCSE Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2010), Ankara, Turkey
Publisher: ACM Press, New York, NY, USA
Uncontrolled Keywords: - ALW - Area Ambient Learning & Knowledge Work;- ALW: Algorithm Animation
Divisions: 20 Department of Computer Science > Computing Services (ISP)
20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2010-0158
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