Recommending a personalized lesson plan based on constraint satisfaction and negotiation

Chiao Ching Huang*, Tsung En Huang, Chia Hung Shih, Von Wun Soo, Yao Chen Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

An appropriate lesson plan is important in teaching and learning. A traditional lesson plan is constructed manually by a teacher with great efforts and difficult to be generated automatically. In this research, we proposed an intelligent agent system able to recommend a personalized lesson plan by using methods in constraint satisfaction problems and negotiation. The constraints consist of teaching goals, teaching time, student abilities, classroom resources and teacher's preference, whereas the recommendation by negotiation system can assist a teacher user to find the coordinated solution under minimum constraint relaxation when no exact solution can be found.

Original languageEnglish
Title of host publicationICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
PagesV112-V116
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 2nd International Conference on Education Technology and Computer, ICETC 2010 - Shanghai, China
Duration: 22 06 201024 06 2010

Publication series

NameICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
Volume1

Conference

Conference2010 2nd International Conference on Education Technology and Computer, ICETC 2010
Country/TerritoryChina
CityShanghai
Period22/06/1024/06/10

Keywords

  • Artificial intelligence
  • Constraint satisfication
  • E-learning
  • Lesson plan
  • Negotiation
  • Recommendation

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