EconPapers    
Economics at your fingertips  
 

Exploring the impact of students’ social and cognitive skills on online Collaborative Problem Solving: empirical evidence from neuroscience

Yeye Tang, Jui-Long Hung, Xu Du, Hao Li and Shuoqiu Yang

Behaviour and Information Technology, 2025, vol. 44, issue 14, 3575-3591

Abstract: Collaborative Problem Solving (CPS) is a multifaceted process where students with strong social and cognitive skills tend to excel. However, improving these skills requires an in-depth understanding of the relationship between skills and students' internal state of mind. It is difficult to assess a student's state of mind based on external cues like facial expressions, speech and behaviour, as these can be easily disguised. This study used a portable EEG device to measure brainwave signals during online CPS tasks, focusing on variations in brain activity using the Approximate Entropy (ApEn) metric to understand why students with high CPS skills perform better. Seventy-two undergraduates participated, with their brainwaves continuously recorded during CPS activities. The findings showed distinct brainwave patterns among students with different social and cognitive skills. Notably, brain activity was heightened during the problem-solving stage compared to the conceptualisation stage. Students with higher social skills showed significant activity in the alpha (inspiration), beta (decision-making) and gamma (creative thinking) bands, while those with stronger cognitive skills primarily activated the alpha band. These results highlight the need to tailor online CPS activities to effectively support students' development in both social and cognitive domains.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2025.2497446 (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:14:p:3575-3591

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

DOI: 10.1080/0144929X.2025.2497446

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 2025-09-05
Handle: RePEc:taf:tbitxx:v:44:y:2025:i:14:p:3575-3591