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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/115

Title: AN APPLICATION FOR CREATING E-LEARNING CONTENT STORYBOARD BASED ON INSTRUCTIONAL DESIGN PRINCIPLES
Authors: Wan Adli Ridzwan, Wan Hassan
Keywords: Subject Matter Expert (SME)
Issue Date: Nov-2007
Abstract: Developing content for e-learning is no different from traditional teaching content in the sense that it must be based on a solid foundation. Subject Matter Expert (SME) needs to be reminded and constantly guided throughout the content development process to ensure they do not go overboard with content design. The lack of pedagogical perspective during content design tends to make the SME handover the daunting tasks of designing content to Instructional Designer (ID). A typical scenario would be that the SME would simply pass a stack of unstructured training materials and expects the ID to go through it before engaging in a discussion with the SME on how to process the raw content. This paper discusses on the development of an application for assisting the SME to construct e-learning content storyboards based on an instructional design principles. Based on the targeted user group, the instructional design principles that has been identified for the study is Gagne’s Nine Learning Events (Gagne, 1992). To accomplish the study, interviews with industrial practitioner was used to get the initial functional requirements of the application. The data gathered was then used to identify the data entities and hence the design of the application. The final version of the application was then tested by the interviewed practitioner to ensure the requirements were successfully translated into the application. After which, a quantitative measure via questionnaires was used to determine the effectiveness of the developed application. The application was given to a group of 18 industrial practitioners to be tried out in their working environment.
Description: Masters in Computer Science
URI: http://dspace.fsktm.um.edu.my/handle/1812/115
Appears in Collections:Masters Dissertations: Computer Science

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