| Summary: | 碩士 === 亞洲大學 === 資訊工程學系碩士班 === 96 === Due to the information technology progressing, the electronic environment has become a hot topic. The Digital Learning is then becoming one of the most important applications. In this way, people can choose the courses they want, and learn in anytime and anywhere through digital materials. The Digital Learning makes fashionable both in schools and enterprises. In this paper, we construct an adaptive mechanism for digital learning system. This scheme can supply a decision-making for choosing adaptive courses for learner in a digital learning system. First, we proposed a successive learning model for Photoshop curriculum, which is a conventional learning model. However, the successive model is not suitable for suitability study. Therefore, we then use Petri Net to modeling the digital learning system for the purpose of constructing an adaptive mechanism. Then, the case studies of digital learning system for Photoshop are given in this paper. Finally, we give the comparison and analysis for both two models mentioned above. Our propose mechanism can achieve better learning results than progressive one.
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