Research On Personalized Recommendation And Presentation Of Digital Learning Resources

With the rapid development of information technology, the traditionalteaching has been unable to meet the needs of modern learners. A new way of learningis urgently needed. Teaching resources is an important bottleneck in the development oftraditional teaching. Traditional teaching resources are mainly from mouth and heavybooks. After20th century, the study of digital learning resources for many learners,whether it is interactive hypertext, or a vivid picture of the video and animation, or moresingle audio learning resources are subject to the preferences. However, for learners inthe era of knowledge explosion, how to select the most adapt to their own learningresources is becoming a research problem.From existing network learning platform, no one can fully comply with the"people-oriented, individualized, independent study". The philosophy of education,such as a single presentation form of the learning content, and the lack of intelligentnavigation, providing learners with learning services is lack of personalization design,also do not have a focus on personalized learning interface design learning platform.Therefore, the defects of the current network learning system, design a personalizedonline learning resources recommended model is necessary.This passage analyzes the personalized learning services needs and personalizedrecommendation technology introduction firstly, then followed by a comprehensiveanalysis of learners’ behavior, learning style, learning goals and the level of knowledge.At last, the personalized knowledge organization strategies are designed based on thecorresponding resource Description from the existing resources of library, incldingknowledge representation, learning navigation, and resources recommended modeldiagram. The last case is studying C language courses designed for different types oflearners, personalized learning interface, which realizes a new type of interactionbetween learners and learning platform mode, eventually improving the learningefficiency of learners.