TY - JOUR
T1 - Exploring the impact of students’ social and cognitive skills on online Collaborative Problem Solving
T2 - empirical evidence from neuroscience
AU - Tang, Yeye
AU - Hung, Jui Long
AU - Du, Xu
AU - Li, Hao
AU - Yang, Shuoqiu
N1 - Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Approximate Entropy (ApEn)
KW - Collaborative Problem Solving (CPS),encephalopathy (EEG)
KW - brainwave
KW - brainwave level of activeness
UR - https://www.scopus.com/pages/publications/105004469479
U2 - 10.1080/0144929X.2025.2497446
DO - 10.1080/0144929X.2025.2497446
M3 - Article
AN - SCOPUS:105004469479
SN - 0144-929X
VL - 44
SP - 3575
EP - 3591
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
IS - 14
ER -