IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Computer-Assisted Approach for Conducting Information Technology Applied Instructions

A Computer-Assisted Approach for Conducting Information Technology Applied Instructions
View Sample PDF
Author(s): Hui-Chun Chu (National University of Tainan, Taiwan), Gwo-Jen Hwang (National University of Tainan, Taiwan), Pei Jin Tsai (National Chiao Tung University, Taiwan)and Tzu-Chi Yang (National Chiao Tung University, Taiwan)
Copyright: 2009
Volume: 7
Issue: 1
Pages: 21
Source title: International Journal of Distance Education Technologies (IJDET)
Editor(s)-in-Chief: Maiga Chang (Athabasca University, Canada)
DOI: 10.4018/jdet.2009010102

Purchase

View A Computer-Assisted Approach for Conducting Information Technology Applied Instructions on the publisher's website for pricing and purchasing information.

Abstract

The growing popularity of computer and network technologies has attracted researchers to investigate the strategies and the effects of information technology applied instructions. Previous research has not only demonstrated the benefits of applying information technologies to the learning process, but has also revealed the difficulty of applying them effectively. One of the major difficulties is due to the lack of an easy-to-follow procedure for inexperienced teachers to design course content with proper use of suitable information technologies. In this paper, a model for conducting information technology applied instructions is proposed. The novel approach can assist teachers in designing information technology applied course content based on the features of subject materials and the learning status of the students. An experiment on a Chemistry course in a junior high school was conducted to evaluate the performance of our novel approach.

Related Content

XiFeng Liao. © 2024. 19 pages.
Ahmed Abdulateef Al Khateeb, Tahani I. Aldosemani, Sumayah Abu-Dawood, Sameera Algarni. © 2024. 16 pages.
Hao Yang. © 2024. 17 pages.
Mohammed Abdullatif Almulla. © 2024. 26 pages.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata. © 2024. 23 pages.
Shaobin Chen, Qingrong Li, Tao Wang. © 2024. 22 pages.
Yan Zhang. © 2024. 16 pages.
Body Bottom