Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning

Sun, Geng and Shen, Jun and Luo, Junzhou and Yong, Jianming (2013) Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning. In: IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), 27-29 Jun 2013, Whistler, BC. Canada.

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Abstract

Enhancing teamwork performance is a significant issue in mobile cloud-based learning. We introduce a service oriented system, Teamwork as a Service (TaaS), to realize a new approach for enhancing teamwork performance in the mobile cloud environment. To coordinate most learners' talents and give them more motivation, an appropriate task allocation is necessary. Utilizing the Kolb's learning style (KLS) to refine learner's capabilities, and combining their preferences and tasks' difficulties, we formally describe this problem as a constraint optimization model. Two heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA), are employed to tackle the teamwork-enhanced task allocation, and their performances are compared respectively. Having faster running speed, the SA is recommended to be adopted in the real implementation of TaaS and future development.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 IEEE. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Business and Law - No Department
Date Deposited: 01 Oct 2013 02:57
Last Modified: 15 Sep 2014 01:43
Uncontrolled Keywords: heuristic alogrithms; Kolb's learning style; mobile cloud-based learning; task allocation; teamwork-enhanced
Fields of Research : 13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
13 Education > 1303 Specialist Studies in Education > 130309 Learning Sciences
Socio-Economic Objective: C Society > 93 Education and Training > 9301 Learner and Learning > 930102 Learner and Learning Processes
Identification Number or DOI: 10.1109/CSCWD.2013.6580979
URI: http://eprints.usq.edu.au/id/eprint/24100

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