Applied Sciences (Dec 2021)

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,
  • Jose A. Gallud

DOI
https://doi.org/10.3390/app112311545
Journal volume & issue
Vol. 11, no. 23
p. 11545

Abstract

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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.

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