Recommending a personalized lesson plan based on constraint satisfaction and negotiation

Author

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

Author_Institution

Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

1

fYear

2010

fDate

22-24 June 2010

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.

Keywords

computer aided instruction; cooperative systems; teaching; constraint satisfaction; intelligent agent system; learning; personalized lesson plan; teaching; teaching goal; Application software; Appropriate technology; Artificial intelligence; Cities and towns; Computer science; Computer science education; Databases; Educational technology; Intelligent agent; Intelligent systems; Artificial Intelligence; Constraint satisfication; E-learning; Lesson plan; Negotiation; Recommendation;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer (ICETC), 2010 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6367-1

Type

conf

DOI

10.1109/ICETC.2010.5529311

Filename

5529311