EconPapers    
Economics at your fingertips  
 

Analyzing factors influencing student engagement in an educative social media platform

René Lobo-Quintero, Davinia Hernández-Leo, Davide Taibi, Emily Theophilou and Roberto Sánchez-Reina

Behaviour and Information Technology, 2025, vol. 44, issue 11, 2697-2712

Abstract: In the context of Social Media literacy, the success of educational interventions relies on designing motivational learning environments that seek students’ engagement. Despite existing achievements in social media education to include more appealing resources (e.g. gamification, authentic learning, interactive simulations), limited research has explored the factors that influence students’ engagement. This study aims to investigate the factors that influence engagement in an educational social media platform. Specifically, the factors that shape interest and enjoyment in Instareal, an educational tool that combines narrative scripts and collaborative learning flow patterns to educate teenagers about social media risks and challenges. To answer our research questions, we analyze the log data generated by high school students (N = 100) who tested a Social Media Literacy training with the support of Instareal. A factor analysis and a backward stepwise regression is performed over a dataset containing students’ traces of online activities and social interactions. The results show that factors such as the social participation of the students (comments, likes), curiosity (opening profiles, following others), and the quality of their answers influence interest and enjoyment within the platform. The results of this study offer new insights into measuring and enhancing student engagement when using educational social media environments.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2406259 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:44:y:2025:i:11:p:2697-2712

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2024.2406259

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-08-05
Handle: RePEc:taf:tbitxx:v:44:y:2025:i:11:p:2697-2712