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An intelligent instructing mechanism for stream-media-based video/audio education system in SME

Through studying worldwide existing stream-media-based video/audio educational systems for SME (small and medium enterprises), it was found that most of software mainly delivers video courses to learners in terms of the sequence of chapters, without providing the functions to implement effective direction for each learning stage of students. It means that most systems can not support individualized and intelligentized mechanisms of instruction, which is disadvantageous for improving learning efficiency. In order to solve this problem, an intelligentized instructional mechanism including an individualized video learning approach was implemented through statically building models of employees' capabilities based on the analysis of learning styles of employees in SME. This mechanism provides the functions to record learning actions of employees, such as different learning speeds, levels of mastering knowledge, and learning efficiencies. Furthermore, the models of employees' capability can be optimized according to recording data, which aims to provide a more effective learning scheme with personalized character for learners. The stream-media-based video/audio educational environment based on instructing mechanism enhances the learning interests of employees in video courses and improves their learning effects and efficiencies.