TY - GEN
T1 - An Empirical Study on Knowledge Payment and Knowledge Anxiety among Chinese University Students
AU - Tang, Jiawei
AU - Zhang, Yu
AU - Huang, Shaoshuai
AU - Zheng, Yaqi
AU - Wei, Yuhong
AU - Bai, Ting
AU - Ming, Shijie
AU - Lu, Zhaolin
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/11/13
Y1 - 2023/11/13
N2 - With the development of the Internet and the rapid proliferation of information, the ways of learning have become increasingly diverse. A prominent manifestation of this shift is the emergence of knowledge payment as a novel avenue for acquiring knowledge. This study aims to explore the relationship between knowledge payment and knowledge anxiety among Chinese university students. Drawing on the RFM model (Recency, Frequency, Monetary), this research integrates five variables: knowledge payment frequency, amount, attitude, nature, and satisfaction with knowledge reserves. A questionnaire survey was conducted with 184 university students. The data were analyzed through quantitative methods, including multiple linear regression analysis using SPSS 26. The results indicate that self-perceived knowledge reserve satisfaction and frequency of paying for educational software are negatively correlated with knowledge anxiety, while frequency of paying for online articles and support for paying for educational software are positively correlated with knowledge anxiety. Notably, self-perceived knowledge reserve satisfaction emerges as the most influential factor. Based on the research results, recommendations are provided for students, educational institutions, knowledge payment platforms, and governments.
AB - With the development of the Internet and the rapid proliferation of information, the ways of learning have become increasingly diverse. A prominent manifestation of this shift is the emergence of knowledge payment as a novel avenue for acquiring knowledge. This study aims to explore the relationship between knowledge payment and knowledge anxiety among Chinese university students. Drawing on the RFM model (Recency, Frequency, Monetary), this research integrates five variables: knowledge payment frequency, amount, attitude, nature, and satisfaction with knowledge reserves. A questionnaire survey was conducted with 184 university students. The data were analyzed through quantitative methods, including multiple linear regression analysis using SPSS 26. The results indicate that self-perceived knowledge reserve satisfaction and frequency of paying for educational software are negatively correlated with knowledge anxiety, while frequency of paying for online articles and support for paying for educational software are positively correlated with knowledge anxiety. Notably, self-perceived knowledge reserve satisfaction emerges as the most influential factor. Based on the research results, recommendations are provided for students, educational institutions, knowledge payment platforms, and governments.
KW - Chinese university students
KW - Design research
KW - knowledge anxiety
KW - knowledge payment
KW - quantitative research
UR - http://www.scopus.com/inward/record.url?scp=85187240299&partnerID=8YFLogxK
U2 - 10.1145/3629606.3629636
DO - 10.1145/3629606.3629636
M3 - Conference contribution
AN - SCOPUS:85187240299
T3 - ACM International Conference Proceeding Series
SP - 321
EP - 330
BT - Proceedings of the 11th International Symposium of Chinese CHI
PB - Association for Computing Machinery
T2 - 11th International Symposium of Chinese CHI, Chinese CHI 2023
Y2 - 13 November 2023 through 16 November 2023
ER -