An active learning system for auction agent programming with competitions

Ronnie Cheung, Calvin Wan, Calvin Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages811-816
Number of pages6
DOIs
Publication statusPublished - 2010
Event9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata, Japan
Duration: 18 Aug 201020 Aug 2010

Publication series

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

Conference

Conference9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Country/TerritoryJapan
CityYamagata
Period18/08/1020/08/10

Keywords

  • Agent programming
  • Competitions
  • E-learning

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