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Research On Design And Application Of Deep Learning In Mobile Scene

Posted on:2019-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:P ZhaoFull Text:PDF
GTID:2417330569495331Subject:Education Technology
Abstract/Summary:PDF Full Text Request
The development and popularization of the mobile ubiquitous technology promotes the public access to information in a variety of ways,and this diversity is accompanied by the emergence of knowledge fragmentation while enriching the knowledge of the learners.Meanwhile,fragmented knowledge generated by ubiquitous technology is advancing with the times,which has certain frontier and is conducive to the acquisition of "soft knowledge".However,the public's learning of these knowledge is generally shallow reading,rough reading and skimming,but it doesn't achieve the effect of deep learning.On the other hand,the features of a mobile scene,such as space-time integration,scene adaptation,timely experience and flexible communication,can provide more humanized service for the learners and the inevitable internal connection between the information resources between the scenes can promote the fusion of fragmentation knowledge.Therefore,this paper will design deep learning in mobile scenarios.This paper first explores the connotation and characteristics of mobile scenes.Then,further explore the essence of deep learning combined with the connotation,characteristics and core elements of deep learning.Furthermore,by comparing,analyzing and integrating the relationship between Bloom's cognitive target classification,SOLO classification,DOK classification and deep learning,and combining the new demands put forward by today's education to deep learning,the learning gradient of deep learning is constructed and the gradient of depth learning is constructed into acquisition,association,questioning,collaboration,practice and practice.Minimally invasive new six gradients.Then,combined with the design principles and relevant theories of each learning gradient,we design specific deep learning methods.The acquisition gradient is designed in four aspects: context,grammar,structure and discourse;the gradient of relevance is designed in combination with SCAMPER,role conversion and brainstorming,and the questioning gradient is a specific design with the center of the problem;the collaboration gradient is the three parties in the design,implementation and evaluation of the learning task.The practical gradient is based on the theory of experiential learning circle,and the new gradient is designed according to the theory of micro innovation.Last but not least,mobile English APP is relatively mainstream and diverse.Therefore,the specific depth learning method in mobile scenarios will be applied to various mobile English learning APP.
Keywords/Search Tags:Mobile scene, Deep learning, Fragmentation of knowledge, Mode design, application
PDF Full Text Request
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