Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning
Paper
Paper/Presentation Title | Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning |
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Presentation Type | Paper |
Authors | Sun, Geng (Author), Shen, Jun (Author), Luo, Junzhou (Author) and Yong, Jianming (Author) |
Editors | Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping |
Journal or Proceedings Title | Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) |
ERA Conference ID | 43280 |
Number of Pages | 6 |
Year | 2013 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781467360852 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2013.6580979 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6580979 |
Conference/Event | IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B |
Event Details | IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013) Event Date 27 to end of 29 Jun 2013 Event Location Whistler, Canada |
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. |
Keywords | heuristic alogrithms; Kolb's learning style; mobile cloud-based learning; task allocation; teamwork-enhanced |
ANZSRC Field of Research 2020 | 390405. Educational technology and computing |
460608. Mobile computing | |
390409. Learning sciences | |
Public Notes | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | University of Wollongong |
Southeast University, China | |
Faculty of Business and Law | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2154/evaluations-of-heuristic-algorithms-for-teamwork-enhanced-task-allocation-in-mobile-cloud-based-learning
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