@inproceedings{4dd982c305ca4cd0b7eb2678c9db5514,
title = "Learning strategy recommendation agent",
abstract = "Nowadays, it has been an important issue to adaptively recommend learning strategies for every learner in intelligent tutoring systems (ITS) that covers various areas and subjects. In this paper, three models for learners, learning strategies and learning strategy-oriented services are proposed. The C4.5 decision tree algorithm is adopted to construct a learning strategy tree which contain popular learning strategies used in ITS. Based on those models and the learning strategy decision tree, a learning strategy recommendation agent is proposed in our learning strategy recommendation system (BIT-LSS) to adaptively recommend learning strategies for learners. Questionnaire surveys and experiments are conducted to demonstrate the efficiency of the learning strategy recommendation agent in BIT-LSS.",
keywords = "Intelligent tutoring system, learning profile, learning strategy, strategy recommendation agent",
author = "Zhendong Niu and Peipei Gu and Wenshi Zhang and Wei Chen",
year = "2012",
doi = "10.1007/978-3-642-30859-8_19",
language = "English",
isbn = "9783642308581",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "205--216",
booktitle = "Workshop on Learning Technology for Education in Cloud, LTEC'12",
address = "Germany",
note = "1st Workshop on Learning Technology for Education in Cloud, LTEC'12 ; Conference date: 11-07-2012 Through 13-07-2012",
}