Inicio  /  Applied Sciences  /  Vol: 10 Par: 15 (2020)  /  Artículo
ARTÍCULO
TITULO

Improvement of an Online Education Model with the Integration of Machine Learning and Data Analysis in an LMS

William Villegas-Ch    
Milton Román-Cañizares and Xavier Palacios-Pacheco    

Resumen

The events that took place in the year 2020 have shown us that society is still fragile and that it is exposed to events that rapidly change the paradigms that govern it. This has been shown by a pandemic like Coronavirus disease 2019; this global emergency has changed the way people interact, communicate, study, or work. In short, the way in which society carries out all activities has changed. This includes education, which has bet on the use of information and communication technologies to reach students. An example of the aforementioned is the use of learning management systems, which have become ideal environments for resource management and the development of activities. This work proposes the integration of technologies, such as artificial intelligence and data analysis, with learning management systems in order to improve learning. This objective is outlined in a new normality that seeks robust educational models, where certain activities are carried out in an online mode, surrounded by technologies that allow students to have virtual assistants to guide them in their learning.

 Artículos similares

       
 
Yifan Qi, Yongming Li and Anyu Du    
Insulators are widely used in various aspects of the power system and play a crucial role in ensuring the safety and stability of power transmission. Insulator detection is an important measure to guarantee the safety and stability of the transmission sy... ver más
Revista: Applied Sciences

 
Fawaz Alharbi, Meshal I. Almoshaogeh, Anwar H. Ibrahim, Husnain Haider, Abd Elaziz M. Elmadina and Ibrahim Alfallaj    
Saudi Arabian urban roads and highways have witnessed a large number of traffic crashes. Road lighting is one of the most important factors influencing drivers? safety during the nighttime. Street-lighting design (e.g., spacing and height), visibility (e... ver más
Revista: Applied Sciences

 
Hao Wang and Nanfeng Xiao    
In order to better utilize and protect marine organisms, reliable underwater object detection methods need to be developed. Due to various influencing factors from complex and changeable underwater environments, the underwater object detection is full of... ver más
Revista: Applied Sciences

 
Panagiotis Skondras, Nikos Zotos, Dimitris Lagios, Panagiotis Zervas, Konstantinos C. Giotopoulos and Giannis Tzimas    
This article presents a study on the multi-class classification of job postings using machine learning algorithms. With the growth of online job platforms, there has been an influx of labor market data. Machine learning, particularly NLP, is increasingly... ver más
Revista: Information

 
Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan    
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho... ver más
Revista: Water