On-line content analysis system using e-learning time data

Maomi Ueno*, Keizo Nagaoka

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a method of automatically analyzing the characteristics of e-learning contents, using e-learning time data stored in learning history databases. Although many studies exist on mathematical models of the response time, they have the disadvantage that the parameters are difficult to interpret and estimate. The response curve of e-learning time data proposed in this paper has the unique feature of deriving its two-parameter model by employing the Entropy maximization method with certain restrictions so as to make it easier to interpret the parameters. The two parameters α and β in the model are interpreted as follows: α represents the complexity of the content (i.e., the number of simple cognitive processes required to understand or solve the content) and β represents the expected time of a simple cognitive process in the content. This means that the average learning time for a content is divided into the two parameters α and β, so that the average learning time for a content is equivalent to the product of α and β. Based on these parametric properties, this paper proposes a new content evaluation method using the α-β plane, or α-β chart. Incorporating this evaluation method, the authors have developed a LMS (Learning Management System), the effectiveness of which is demonstrated in practical situations. The results show that the system let a teacher grasp contents characteristic easily and is effective for contents improvement

本文言語English
ホスト出版物のタイトルIEEE International Conference on Computer Systems and Applications, 2006
ページ994-1002
ページ数9
2006
出版ステータスPublished - 2006
外部発表はい
イベントIEEE International Conference on Computer Systems and Applications, 2006 - Sharjah
継続期間: 2006 3 82006 3 8

Other

OtherIEEE International Conference on Computer Systems and Applications, 2006
CitySharjah
Period06/3/806/3/8

ASJC Scopus subject areas

  • 工学(全般)

フィンガープリント

「On-line content analysis system using e-learning time data」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