MOOC Teaching Model of Basic Education Based on Fuzzy Decision Tree Algorithm

Abstract

In recent years, the development of science and technology in China has greatly affected people’s ways of entertainment. In the traditional industrial model, new industries and Internet industries represented by the Internet have emerged, and the Internet video business is an emerging business that has been gradually emerging in the Internet industry in recent years. Moreover, this new teaching method has been gradually noticed in simple education, such as MOOC, I want to self-study network, and Smart Tree, and other online learning websites have sprung up. At present, the epidemic environment makes people pay more attention to this convenient and wide range of online video education. Therefore, we need to evaluate this kind of online video teaching model from the effectiveness of this kind of method and the quality of user experience. This paper takes this as the starting point and chooses the earliest online video platform, MOOC, as the model to establish a set of perfect user experience quality evaluation methods suitable for domestic online video education mode. Considering the data source, the accuracy of the results, and other factors, we chose the industry-leading platform MOOC network as an example. Through the exploration of the MOOC teaching mode in basic education, a member experience evaluation model is established based on fuzzy decision tree algorithm. The experimental results show that the model has high accuracy and high reliability.

An analytical model of college students’ self-assessed satisfaction with the effectiveness of online learning: a structural equation model integrating LICE and S-O-R models

“…Since 2020, the rapid development of e-learning platforms such as Tencent conference, MOOC, Rain Classroom, and Nail has provided students with a good learning platform. However, the quality of these platforms varies, and improvement is needed ( Yuanyuan, 2022 ). This study has identified external factors that can directly or indirectly influence college students’ satisfaction with e-learning.…”

Development of an AI predictive model to categorize and predict online learning behaviors of students in Thailand

“…Online courses hosted on the Thai MOOC platform predominantly use video to deliver content, constituting over 65 % of the total content [ 13 ]. In addition, they incorporate interactive elements such as quizzes (review form during class) and exams (evaluation form at the end of the lesson) [ 1 , 2 , 13 ]. Other content types, such as text, images, and discussion forums, may also be present.…”

“…Other content types, such as text, images, and discussion forums, may also be present. Consequently, the logs of online learning behavior data collected from learners are categorized into four primary types [ 1 , 13 ].…”

“…Prominent MOOC providers include Coursera, Udacity, and EdX. The open-source Open EdX software has reached international prominence as a platform for MOOC development, powering systems like JMOOC, KMOOC, and XuetangX [ [13] , [14] , [15] ]. In Thailand, the Thai MOOC has been used as a platform for organizing online teaching in a national open system for the public since 2016 under the supervision of the Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation, to expand educational opportunities for Thai people and raise the quality of online courses to international standards [ 1 ].…”