TY - JOUR
T1 - Evolving the classroom
T2 - A mathematical and didactic exploration of teacher-guided peer learning
AU - Qiu, Can
AU - Long, Baoxin
AU - Yu, Dengxiu
AU - Cheong, Kang Hao
N1 - Publisher Copyright:
© 2023
PY - 2023/9
Y1 - 2023/9
N2 - In this paper, we introduce a model involving group dynamics to investigate the intricate processes underpinning teacher-guided peer learning. This model seeks to pinpoint the optimal degree of teacher participation, thereby augmenting the effectiveness of peer learning experiences. Although peer learning inherently fosters enriched knowledge acquisition, the absence of a systematic approach or robust didactic analysis can impede its potential. Our model uniquely addresses this gap by facilitating a comparative investigation of peer learning under varying degrees of teacher participation, thereby illuminating the optimal range for this variable. To validate our model, we undertake comprehensive simulations that affirm its predictive power and practical applicability. Moreover, this study further contributes to the field by quantifying three distinct modes of facilitation, each characterized by different degrees of teacher participation. This is complemented by an in-depth didactic analysis. Our work synergizes the domains of educational research and network science, forging new pathways for understanding and enhancing classroom dynamics.
AB - In this paper, we introduce a model involving group dynamics to investigate the intricate processes underpinning teacher-guided peer learning. This model seeks to pinpoint the optimal degree of teacher participation, thereby augmenting the effectiveness of peer learning experiences. Although peer learning inherently fosters enriched knowledge acquisition, the absence of a systematic approach or robust didactic analysis can impede its potential. Our model uniquely addresses this gap by facilitating a comparative investigation of peer learning under varying degrees of teacher participation, thereby illuminating the optimal range for this variable. To validate our model, we undertake comprehensive simulations that affirm its predictive power and practical applicability. Moreover, this study further contributes to the field by quantifying three distinct modes of facilitation, each characterized by different degrees of teacher participation. This is complemented by an in-depth didactic analysis. Our work synergizes the domains of educational research and network science, forging new pathways for understanding and enhancing classroom dynamics.
KW - Didactic analysis
KW - Mathematical model
KW - Network science
KW - Nonlinear dynamics
KW - Optimal participation degree
KW - Teacher-guided peer learning
UR - http://www.scopus.com/inward/record.url?scp=85166256868&partnerID=8YFLogxK
U2 - 10.1016/j.chaos.2023.113853
DO - 10.1016/j.chaos.2023.113853
M3 - 文章
AN - SCOPUS:85166256868
SN - 0960-0779
VL - 174
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
M1 - 113853
ER -