A Study on Semi-Automatic Generaltion of Individualized Instructional Course

碩士 === 銘傳大學 === 資訊工程學系碩士班 === 93 === Recently, e-learning is a very popular issue which encompasses multi-disciplinary fields such as education and computer science. The reason that e-learning attracts so much attention is that it would enhance the quality of education, get rid of the defect in trad...

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Bibliographic Details
Main Authors: Chih-Hao Wang, 王志浩
Other Authors: Feng-Hsu Wang
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/7523t5
Description
Summary:碩士 === 銘傳大學 === 資訊工程學系碩士班 === 93 === Recently, e-learning is a very popular issue which encompasses multi-disciplinary fields such as education and computer science. The reason that e-learning attracts so much attention is that it would enhance the quality of education, get rid of the defect in traditional education and decline the effort when instructors collect and design the contents. There also have some achievements in e-learning standards, like ADL SCORM, which integrates IMS and IEEE LOM, which helps to reuse and share content easily. These achievements are helpful for developing content in versatile ways. However, there is still much work needed to achieve the adaptation requirement for individualized learning. In this research, we aimed to develop a method for semi-automatic generation of individualized course. The method, called Goal-Driven Instruction Planning Model, considers the contents, designed according to specific learning styles, and individualized pedagogical strategy to deliver an individualized recommendation of course sequences of learning objects. The key idea of this approach is its two-level course structure— the concept level and physical level. The concept level consists of the curriculum topics that are organized hierarchically like a tree. In the physical level, each topic is possibly comprised by physical contents designed to fit into different learning styles. This research develops a system based on the two-level course structure to generate individualized course sequence.