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Advanced Dynamic Autonomous Knowledge Learning Method for Distance Learning Cover

Advanced Dynamic Autonomous Knowledge Learning Method for Distance Learning

By: Yanfang Fu,  Xing Li,  Xueyao Feng and  Jing Ma  
Open Access
|May 2018

Abstract

As the manufacturing of vast amount of information transmits at an unprecedented rate, traditional learning is no way to meet the needs of open learning and lifelong learning, how can distance learning be used to help us study become a problem to think about. Distance learning requires improvement of interactivity and initiative to achieve their aptitude. Using a variety of formats data, learners master the initiative in the learning process, it is not easy to lead to deviation from the learning goals phenomenon. To this end, in order to solve this problem, we use the basis of ILTMK theory and distributed interactive technology to introduce the active learning factors and propose a dynamic autonomous knowledge learning model and build its model’s simulation running environment and related mechanism. Through simulation experiment, we can verify the effectiveness of the autonomous learning methods.

Language: English
Page range: 33 - 39
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Yanfang Fu, Xing Li, Xueyao Feng, Jing Ma, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.