An active learning system for auction agent programming with competitions

Ronnie Cheung; Calvin Wan; Calvin Cheng

doi:10.1109/ICIS.2010.106

An active learning system for auction agent programming with competitions

Ronnie Cheung
, Calvin Wan
, Calvin Cheng

Division of Business and Hospitality Management (BHM)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Recent researches argue that web-based learning environment and active learning would greatly improve the efficiency and effectiveness of teaching. This paper aims to develop a system which promotes efficient learning by a web-based system and facilitates active learners' participation through game competition for an e-commerce topic, auction agent programming. The game competition is about an auction among travel agencies to bid resources for their clients. All travel agencies are actually software agents programmed by learners. The agent performs best in terms of profit and utility would be the winner. This competition encourages learners to think, discuss and apply their understanding.

Original language	English
Title of host publication	Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Publisher	IEEE Computer Society
Pages	811-816
Number of pages	6
ISBN (Print)	9780769541471
DOIs	https://doi.org/10.1109/ICIS.2010.106
Publication status	Published - 2010

Publication series

Name	Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

Keywords

Agent programming
Competitions
E-learning

Access to Document

10.1109/ICIS.2010.106

Cite this

Cheung, R., Wan, C., & Cheng, C. (2010). An active learning system for auction agent programming with competitions. In Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 (pp. 811-816). Article 5591038 (Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010). IEEE Computer Society. https://doi.org/10.1109/ICIS.2010.106

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abstract = "Recent researches argue that web-based learning environment and active learning would greatly improve the efficiency and effectiveness of teaching. This paper aims to develop a system which promotes efficient learning by a web-based system and facilitates active learners' participation through game competition for an e-commerce topic, auction agent programming. The game competition is about an auction among travel agencies to bid resources for their clients. All travel agencies are actually software agents programmed by learners. The agent performs best in terms of profit and utility would be the winner. This competition encourages learners to think, discuss and apply their understanding.",

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Cheung, R, Wan, C & Cheng, C 2010, An active learning system for auction agent programming with competitions. in Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010., 5591038, Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010, IEEE Computer Society, pp. 811-816. https://doi.org/10.1109/ICIS.2010.106

An active learning system for auction agent programming with competitions. / Cheung, Ronnie; Wan, Calvin; Cheng, Calvin.
Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010. IEEE Computer Society, 2010. p. 811-816 5591038 (Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cheung R, Wan C, Cheng C. An active learning system for auction agent programming with competitions. In Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010. IEEE Computer Society. 2010. p. 811-816. 5591038. (Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010). doi: 10.1109/ICIS.2010.106

An active learning system for auction agent programming with competitions

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Keywords

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