TY - GEN
T1 - Learning Performance and the Influence of Individual Motivation Through Social Networks
AU - Gutierrez-Aguilar, Olger
AU - Tomaylla-Quispe, Ygnacio
AU - Montesinos-Valencia, Lily
AU - Chicana-Huanca, Sandra
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The research aims to find out how individual motivations, like altruism, affect how well people learn and how social networks help people form and share knowledge as one of their functions. The methodology used for the study corresponds to a non-experimental investigation. Reliability tests and a questionnaire were applied to a random sample of 130 university students (n = 24; α = 0.978 ω = 0.978). Through Partial Least Squares Structural Equation Modeling (PLSSEM), the causal relationship between the exogenous and endogenous variables was used to design the model. This was done in addition to the exploratory and confirmatory factorial analyses. It has been shown that social networks are the best way for personal motivations like reputation and, significantly, altruism to affect the exchange of information and knowledge and the learning performance of college students in a way that supports the thesis. There is a statistically significant link between the altruistic sharing of knowledge, the formation of knowledge, and how well people learn.
AB - The research aims to find out how individual motivations, like altruism, affect how well people learn and how social networks help people form and share knowledge as one of their functions. The methodology used for the study corresponds to a non-experimental investigation. Reliability tests and a questionnaire were applied to a random sample of 130 university students (n = 24; α = 0.978 ω = 0.978). Through Partial Least Squares Structural Equation Modeling (PLSSEM), the causal relationship between the exogenous and endogenous variables was used to design the model. This was done in addition to the exploratory and confirmatory factorial analyses. It has been shown that social networks are the best way for personal motivations like reputation and, significantly, altruism to affect the exchange of information and knowledge and the learning performance of college students in a way that supports the thesis. There is a statistically significant link between the altruistic sharing of knowledge, the formation of knowledge, and how well people learn.
KW - altruism
KW - Individual motivation
KW - knowledge exchange
KW - knowledge formation
KW - learning performance
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=85186757854&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-45645-9_51
DO - 10.1007/978-3-031-45645-9_51
M3 - Conference contribution
AN - SCOPUS:85186757854
SN - 9783031456442
T3 - Lecture Notes in Networks and Systems
SP - 530
EP - 537
BT - Information Systems and Technologies - WorldCIST 2023
A2 - Rocha, Alvaro
A2 - Adeli, Hojjat
A2 - Dzemyda, Gintautas
A2 - Moreira, Fernando
A2 - Colla, Valentina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th World Conference on Information Systems and Technologies, WorldCIST 2023
Y2 - 4 April 2023 through 6 April 2023
ER -