Redirigiendo al acceso original de articulo en 24 segundos...
Inicio  /  Applied Sciences  /  Vol: 11 Par: 23 (2021)  /  Artículo
ARTÍCULO
TITULO

Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K?12 Geometry Class

Sebastian Romero    
Habib M. Fardoun    
Victor M. R. Penichet    
Maria D. Lozano and Jose A. Gallud    

Resumen

Online social networks are part of our daily life. They are widely used among university students. These platforms have positive and negative aspects. Focusing on the positive aspects, positive reinforcement social networks (PRSNs) have been used to improve the participation of high school students in the classroom. The main objective of this study is to analyze online social interaction on PRSNs, in order to find out if they have a positive impact on classroom participation and students? self-perceptions of their own social skills, especially in the supposedly difficult STEM (Science, Technology, Engineering and Mathematics) subjects, where engagement tends to be lower. An education-oriented PRSN platform has been developed and used by the experimental group of students to promote discussion and facilitate the sharing of different types of materials. These materials had to be related to students? academic and professional life, but not necessarily related to Mathematics. A total of 72 Geometry students (K?12) and their teacher participated in a semester-long experimental study. Analyses of the interactions through the proposed platform combined with classroom participation revealed that students from the experimental group showed an improvement not found in the control group. Moreover, perceptions of students? own online skills were analyzed, showing a positive impact after the experiment.

 Artículos similares

       
 
Eike Blomeier, Sebastian Schmidt and Bernd Resch    
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro... ver más
Revista: Information

 
Andra Sandu, Ioana Ioana?, Camelia Delcea, Laura-Madalina Geanta and Liviu-Adrian Cotfas    
The proliferation of misinformation presents a significant challenge in today?s information landscape, impacting various aspects of society. While misinformation is often confused with terms like disinformation and fake news, it is crucial to distinguish... ver más
Revista: Information

 
Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang     Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ... ver más

 
Lina Yu, Dongxin Duan, Kwi-sik Min and Tao Wang    
This study presents a groundbreaking approach to evaluating the resilience of China?s blue economy, shedding light on its critical role in promoting sustainable development along the nation?s coastlines. By employing advanced methodologies such as social... ver más
Revista: Water

 
Andra Sandu, Ioana Ioana?, Camelia Delcea, Margareta-Stela Florescu and Liviu-Adrian Cotfas    
Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in the present-day environment of technology and information, which greatly affects the individuals who are vulnerable and easily in... ver más
Revista: Algorithms