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

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...

Full description

Bibliographic Details
Main Authors: Sebastian Romero, Habib M. Fardoun, Victor M. R. Penichet, Maria D. Lozano, Jose A. Gallud
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/23/11545
_version_ 1797507982034993152
author Sebastian Romero
Habib M. Fardoun
Victor M. R. Penichet
Maria D. Lozano
Jose A. Gallud
author_facet Sebastian Romero
Habib M. Fardoun
Victor M. R. Penichet
Maria D. Lozano
Jose A. Gallud
author_sort Sebastian Romero
collection DOAJ
description 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.
first_indexed 2024-03-10T04:56:08Z
format Article
id doaj.art-566f530e20b2469d922e812dd5a76cec
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-03-10T04:56:08Z
publishDate 2021-12-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-566f530e20b2469d922e812dd5a76cec2023-11-23T02:10:02ZengMDPI AGApplied Sciences2076-34172021-12-0111231154510.3390/app112311545Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry ClassSebastian Romero0Habib M. Fardoun1Victor M. R. Penichet2Maria D. Lozano3Jose A. Gallud4Department of Education, Culture and Sport, 02001 Albacete, SpainComputing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaAlbacete Research Institute of Informatics, University of Castilla-La Mancha, 02071 Albacete, SpainAlbacete Research Institute of Informatics, University of Castilla-La Mancha, 02071 Albacete, SpainAlbacete Research Institute of Informatics, University of Castilla-La Mancha, 02071 Albacete, SpainOnline 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.https://www.mdpi.com/2076-3417/11/23/11545online social interactionssocial mediasecondary educationapplied behavior analysis
spellingShingle Sebastian Romero
Habib M. Fardoun
Victor M. R. Penichet
Maria D. Lozano
Jose A. Gallud
Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
Applied Sciences
online social interactions
social media
secondary education
applied behavior analysis
title Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
title_full Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
title_fullStr Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
title_full_unstemmed Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
title_short Analysis of Online Social Interactions Based on Positive Reinforcement Social Networks in a K–12 Geometry Class
title_sort analysis of online social interactions based on positive reinforcement social networks in a k 12 geometry class
topic online social interactions
social media
secondary education
applied behavior analysis
url https://www.mdpi.com/2076-3417/11/23/11545
work_keys_str_mv AT sebastianromero analysisofonlinesocialinteractionsbasedonpositivereinforcementsocialnetworksinak12geometryclass
AT habibmfardoun analysisofonlinesocialinteractionsbasedonpositivereinforcementsocialnetworksinak12geometryclass
AT victormrpenichet analysisofonlinesocialinteractionsbasedonpositivereinforcementsocialnetworksinak12geometryclass
AT mariadlozano analysisofonlinesocialinteractionsbasedonpositivereinforcementsocialnetworksinak12geometryclass
AT joseagallud analysisofonlinesocialinteractionsbasedonpositivereinforcementsocialnetworksinak12geometryclass