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Research On Mobile Learning Oriented Tour Guide System Of Tujia Music Gallery

Posted on:2019-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:L Z ZhangFull Text:PDF
GTID:2405330548467601Subject:Modern educational technology
Abstract/Summary:PDF Full Text Request
Music culture is the soul of a country and a nation,which embodies the character of a country and a nation.The protection and inheritance of music culture is of great significance for inheriting and disseminating the excellent culture of the Chinese nation,promoting the cultivation of national spirit,achieving national identity and developing cultural industry.It is also the inevitable requirement for the great rejuvenation of the Chinese nation.The Tujia music culture has obvious regional and national characteristics,and it is in urgent need of protection and inheritance.Tujia music culture has obvious regional,so hanging the culture of Tujia music and related Tujia feature spot together,at the same time,heritage context and geographical information of Tujia culture combination,can effectively help learners understand Tujia music culture,deepen the impression of Tujia music culture.And mobile learning can enable learners to get rid of the constraints of learning sites,make full use of fragmented time to fragmented learning,help learners learn Tujia culture more efficiently,and at the same time,it is more effective in protecting Tujia culture.Therefore,it is one of the effective means to protect the music culture of the Tujia by developing the tour guide system of the Tujia music gallery and providing the platform for the public to learn the music culture of the Tujia.In order to ensure the tour guide system of Tujia music gallery can effectively help learners of Tujia music culture,the design of the system function and interface and learning resources are fully considered in the design strategies and principles of mobile learning,based on the cognitive load theory as the foundation,and strive to reduce the cognitive load of learners and improve the learning efficiency.At the same time,in the process of system development,the author studies the implementation technology and related algorithms of virtual navigation.The main contents are as follows:(1)The method of map building is studied and the related maps of the Tujia scenic area are drawn.In order to realize the virtual navigation function,we need to have a map related Tujia area,the author takes consider of the system requirement,on the one hand,for navigation achieving and distance analysis and other functions,on the other hand,in order to make the system page friendly,Tujia area map select the combination of vector and bitmap.(2)Study the navigation algorithm of the scenic roaming in the Tujia music corridor navigation system,and analyze the Dijkstra algorithm.The algorithm is often used to solve the shortest path problem in the undirected graph.This research is improved on the basis of the traditional Dijkstra algorithm,so that the system can automatically generate a new undirected power according to the starting point and the termination point set by the user in the course of navigation path.,and the navigation function between any two points on the SVG map is realized.(3)Study the recommendation algorithm of scenic spot roaming in Tujia music corridor navigation system.In the course of the study,it compares the common method of buffer analysis and the method of calculating the distance along the path.From the point of view of the efficiency of the algorithm and the need of the system function,the research chooses a better method,and solves two key problems,such as the judgment of scenic spots recommendation and the order of scenic spots recommendation.The virtual navigation is realized.Compared with similar studies,this article is characterized by the combination of GIS technology and mobile learning for cultural protection in order to protect Tujia music culture,and develop the tour guide system of Tujia music gallery for public learning of Tujia music culture.
Keywords/Search Tags:cultural protection, navigation system, mobile learning
PDF Full Text Request
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