Exploring an Intellectual Structure of e-Learning from MIS Perspective - Using Author Co-citation Analysis

碩士 === 國防大學管理學院 === 資訊管理學系 === 98 === The phrase “e-Learning” first coined in 1996 by the American Society of Training and Development (ASTD) while proposing the first Internet training course. In 2000, SCORM 1.0 (Sharable Content Object Reference Model version 1.0) was released and the development...

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Bibliographic Details
Main Authors: Lien,Yen Hsuan, 連晏萱
Other Authors: Chen,Liang Chu
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/03846000689675825554
Description
Summary:碩士 === 國防大學管理學院 === 資訊管理學系 === 98 === The phrase “e-Learning” first coined in 1996 by the American Society of Training and Development (ASTD) while proposing the first Internet training course. In 2000, SCORM 1.0 (Sharable Content Object Reference Model version 1.0) was released and the development of e-Learning reached the peak. Then, Stephen Downs proposed “e-Learning 2.0” in 2006, which used new technology to develop a shared model that provided a greater interaction between users and communities. Furthermore, in recent years, some innovative learning concepts were discussed such as “M-Learning” (mobile learning) and “U-Learning” (ubiquitous learning). From the examples mentioned above, we can see a close connection between e-Learning and information technology. Author co-citation analysis (ACA) is proposed by White and Griffith in 1981. It assumes that the more frequently two authors are cited together, the closer the relationship is between them. ACA has been applied to show the intellectual structure in many fields such as information retrieval, knowledge management, and strategic management. However, it has not yet been used to analyze e-Learning development. From the perspective of the management information systems (MIS), this paper provides an intellectual structure of e-Learning. By applying ACA method, we analyzed the abroad and domestic authors clustering results and categorized their research topics into clusters. Results show that domestic authors put more efforts on practical studies, and abroad authors focused on users’ psychological reaction. It provides a clear intellectual structure, which enables us to study and understand research topics of e-Learning from 1996 to 2009.