Research On Key Technologies Of Outdoor Experiential Learning Scene Perception And Personalized Knowledge Push

With the development of quality education and ubiquitous learning,outdoor learning has been paid more and more attention.Outdoor learning emphasizes knowledge expansion through learners’ handson activities.Scenes affect the transmission and acceptance of knowledge.Only when knowledge is matched with the scenes learners are in can learners obtain the best knowledge learning experience and learning effect.In this paper,the outdoor learning scene consists of the learner,the task and the environment.The traditional way of knowledge push for outdoor learning mainly relies on the traditional mobile learning system,which pushes relevant knowledge through learners’ input or clicking on specific keywords.It is unable to guide and achieve a good interactive experience between learners and the scene,and it is difficult to stimulate learners’ interest in learning.The application of mobile visual matching technology in the knowledge push of outdoor learning strengthens the interaction between learners and scenes they are in,and greatly improves their interest in learning.However,the knowledge push technology based on visual matching has not made a substantial breakthrough in outdoor learning,and it still has little influence on outdoor learning.The main reason is the inadequate adaptation between knowledge push results and learners’ knowledge needs,which leads to poor learning experience for learners.It is mainly manifested in two aspects:first,the task perception is inaccurate.The pushed knowledge does not match the learning task,and does not meet the explicit knowledge needs of learners.Second,they fail to perceive the differences between learners and the environment and push the same knowledge to all learners for specific tasks,which fails to meet the individual knowledge needs of learners.Therefore,how to effectively perceive outdoor learning scenes and learners’ knowledge needs,and realize efficient and accurate personalized knowledge push of outdoor learning is the key problem that needs to be solved at present.Aiming at the above problems,this paper firstly focuses on the learning object perception and learner’s characteristics perception in outdoor learning scenes to study the outdoor learning scene perception technology.Learning objects perception is the primary work of learning tasks perception,which is the basis of outdoor learning behavior and determines the scope of outdoor learning knowledge.Learner’s characteristics perception in outdoor learning focuses on learning emotion perception.Because the learning emotion reflects learner’s interest in knowledge in outdoor learning,and it can reflect learners’ personalized knowledge preferences and needs to a certain extent.Based on the research of outdoor learning scene perception technology,further combined with ontology technology,the research on outdoor knowledge push technology based on learning scene perception and domain ontology is carried out to improve the accuracy and adaptability of knowledge push results,so as to realize efficient and accurate personalized knowledge push of outdoor learning.The research achievements of this paper are mainly reflected in the following aspects:(1)Aiming at the problem of poor outdoor learning experience of learners,the idea of learning scene perception is introduced.And a framework of outdoor experiential learning scene perception and personalized knowledge push is proposed.By analyzing the types and influencing factors of user experience in information service and combining the characteristics of outdoor learning,this paper determines the types and influencing factors of outdoor learning experience.According to the composition of outdoor learning scenes,this paper analyzes the problem of low learning experience caused by the existing outdoor learning knowledge push system.On this basis,this paper proposes to construct the framework of outdoor experiential learning scene perception and personalized knowledge push from the perspective of learning scene perception.The framework integrates "outdoor learning scene perception,outdoor learning knowledge organization and management,knowledge push and knowledge presentation",aiming to provide learners with adaptive and immersive outdoor learning experience.(2)Aiming at the problem that the perception accuracy of learning objects is not high in outdoor learning knowledge push based on visual matching,a perception method of outdoor learning objects based on depth object detection is proposed.This method uses SSD object detection model to construct outdoor learning object perception model based on improved SSD,which can recognize and locate outdoor learning objects.This paper builds datasets of outdoor learning objects,and tests the performance of the outdoor learning object perception model based on improved SSD on the datasets.The experimental results show that the model has significant advantages in accuracy,recall rate,speed,space occupancy and other aspects.(3)In view of the problem that the knowledge push based on visual matching does not perceive the learners’ characteristics,which leads to the mismatch between the pushed knowledge and the learners’ personalized knowledge needs,this paper proposes a learner’s characteristics perception algorithm based on multi-task learning.The algorithm uses MobileNetV2 network to construct a multitask learner’s characteristics perception model based on improved mobileNetV2,which realizes the perception of learner’s learning emotion,age,gender and so on through learner’s face images.The experimental results show that the learner’s characteristics perception algorithm based on multi-task learning has achieved good results in both perceptual accuracy and computational performance.(4)In order to solve the problem that the knowledge push results of outdoor learning based on visual matching do not fit the learners’ knowledge needs well,a knowledge push technology based on learning scene perception and domain ontology is proposed.By constructing the knowledge base of outdoor learning based on domain ontology,the degree of knowledge aggregation is improved.The accuracy of knowledge matching is improved by using the improved method of ontology concept similarity based on semantic distance.The experimental results show that the outdoor knowledge push technology based on learning scene perception and domain ontology can effectively improve the comprehensiveness and accuracy of knowledge push results.(5)Based on the above research results,an outdoor experiential learning knowledge push system is realized,which provides a new auxiliary means for learners’ outdoor learning.The test results show that the system plays a significant role in improving learning immersion,promoting the development of outdoor exploration and personalized learning.It further verifies the feasibility of the key technology research of outdoor experiential learning scene perception and personalized knowledge push proposed in this paper,and confirms the theoretical research and application value of this paper.