Improved Methods for Intelligent Learning Environment Architecture: A Case Study of Technological Frame

Abstract:

The higher education of Taiwan in the last decade has experienced the new wave of rapidly developing intelligent learning environment for providing all users of educational and learning purposes. This study observes that the developed environment provided by intelligent learning technologies brings about the superior functionality and efficiency of message transformation. However, through an observation on H University during the 1996-2012 years, the adoption of intelligent learning environment can not satisfy users’ needs regarding environment architecture. Brown (1998) adopts the technology viewpoint to learning participation; otherwise it would reduce learning efforts and exhaust mental power. In addition, Russell (1999) proposes that the use of too much information technology would not improve learning effectiveness since educational field’s perception and behavior do not always meet the needs of users. This study finds that Orlikowski and Gash (1994)’s technological frame will be different due to various purposes of application of leaders and pioneers. Technological frame is a human made product of society. Therefore, this study suggests that technological frame can be used as the analysis tool for intelligent learning environment architecture. The propositions are three proposed, the main aim is to seek improved methods for the existing intelligent learning environment using case study methodology. The focus groups are utilized as research samples to establish the intelligent learning environment framework. By using the card sorting to establish intelligent learning environmental framework, the study attempts to explore the gap between intelligent learning environmental framework and user needs. Based on the theory of technological frame by Orlikowski and Gash (1994) to analyze the frame, this study proposes the recommendations as advanced references for improving intelligent learning environment framework.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 3484-3489
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.3484
• Online since: December 2012
• Authors: S. W. Tien, Yun Tien Ma, Pei Yu Hsieh, Ying Lu Yen
• Keywords: Environment Framework, Framework Gap, Intelligent Learning, Technological Frame

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