@inproceedings{4648515821bf4b20b6f192e2f70feed4,
title = "Recommending a personalized lesson plan based on constraint satisfaction and negotiation",
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 = "Artificial intelligence, Constraint satisfication, E-learning, Lesson plan, Negotiation, Recommendation",
author = "Huang, {Chiao Ching} and Huang, {Tsung En} and Shih, {Chia Hung} and Soo, {Von Wun} and Lin, {Yao Chen}",
year = "2010",
doi = "10.1109/ICETC.2010.5529311",
language = "英语",
isbn = "9781424463688",
series = "ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer",
pages = "V112--V116",
booktitle = "ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer",
note = "2010 2nd International Conference on Education Technology and Computer, ICETC 2010 ; Conference date: 22-06-2010 Through 24-06-2010",
}