Abstract
With the development of network, location-based service architecture is gradually applied to the learning support service system. The purpose of this study is to develop an online learning support system using allocation information service architecture. In this study, the 2019 year of this study was selected as a research material through an online learning support service system within six months. The system architecture of this study is the Browser/Server architecture. Based on this, we analyze the learning result data using the weight setting of the feature attribute and the learning evaluation algorithm. The results show that the improved algorithm based on location-based service architecture can get the best algorithm accuracy when the weight of the whole algorithm is about α = 0.4. For the degree of demand for learning guidance, 16.2% thought it was absolutely necessary and 50.7% thought it was more necessary. And 70.6% of the learners thought that the learning system was not very accurate or generally accurate. It is concluded that the learning support service system of this study has a certain role. It provides a new path to improve the quality of online education learning support service and promotes the development of online education.
Highlights
Online education can be extended to all fields through the network, and it is very convenient to enjoy the same high level of education
Online education is one of the most influential computer technology applications in modern education to establish modern education system and realize learning society. is kind of network communication technology depends on the development of distance education, especially the distance education using network, which will become the direction of education development in the future
We combine the location-based service architecture with the online learning support service system, describe the data source and operation rules of the learning system, explain the data generated by the location-based service architecture and user behavior, and use the model as a new data source
Summary
Online education can be extended to all fields through the network, and it is very convenient to enjoy the same high level of education. Collection, and analysis of the learning process data of online learner, the location-based service architecture and the learning analysis technology establish the learner model and investigate the relation between the learner’s learning characteristic, the teacher education design, and the educational performance and the data education process by establishing base. E main purpose of this research is to establish a functional model and an evaluation system to provide intelligent and humanitarian support services from data obtained in the process of large-scale network learning and network learning. E innovation points of this study are as follows:(1) based on the relevant data of online learning in 2019, the functions of online learning system based on feature attribute weight, personalized evaluation support service system, and course recommendation system based on students’ interests are analyzed. The online learning system created in this paper can improve the quality of online education learning support services and is conducive to the long-term development of online education
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
