An adaptive sequencing method of the learning objects for the e-learning environment

Kazuya Seki*, Tatsunori Matsui, Toshio Okamoto

*この研究の対応する著者

研究成果: Article査読

17 被引用数 (Scopus)

抄録

In this study, an e-learning system is developed to handle the e-learning environment based on the learning ecological model. In the learning ecological model, which represents the comprehensive e-learning environment, not only the contents of learning, but also the learning environment are managed and provided, based on the content, the goal, and the configuration of the learning. The major purpose of this study is to realize the function that can manage the diversified learning objects with various information granularities and representation formats, using the learning object metadata, so that each learner can utilize the learning object based on the learning scenario, which is matched to the individual learner. The learning scenario is constructed by sequencing the learning objects based on the learning necessity, the learning history information, and the curriculum information of the object of learning, according to the characteristics of the learning object. As the sequencing procedure, the sequencing of the learning objects is considered, by applying the optimization technique of the multi-objective optimization problem, so that multiple evaluation viewpoints are simultaneously satisfied. The genetic algorithm is used as the optimization procedure. The learning object metadata and the sequencing of the learning objects are discussed in detail in this paper. The evaluation of the developed e-learning system is also described.

本文言語English
ページ(範囲)54-71
ページ数18
ジャーナルElectronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)
88
3
DOI
出版ステータスPublished - 2005 3月
外部発表はい

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「An adaptive sequencing method of the learning objects for the e-learning environment」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル