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Discovering the Role of M-Learning Among Finance Students: The Future of Online Education

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Novel Financial Applications of Machine Learning and Deep Learning

Abstract

The chapter aims to explore the role of m-learning among finance students with an additional focus on the future of online higher education. The key reason to conduct the study is to explore the hidden issues of m-learning for the students majoring in finance, especially in the online classroom setting. The study used a qualitative research approach to discover the phenomenon. The authors conducted a thorough literature review of the existing literature and attempted to fulfill the research gap following the qualitative research approach. The result shows that digitalized education provides the opportunity for finance major students to access financial markets using the Internet and gain personal and professional knowledge in a better way rather than traditional learning. The result also discovers a significant positive relationship between m-learning and online educational effectiveness. Only the students of Finance were the participants which may affect the generalizability. The study presents significant implications for education policymakers and practitioners. The study fills the gap in the current literature by discovering the role of m-learning in the online educational setting for finance major students.

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Acknowledgments

The Research on Developing Cultural Industry Chain in Guanzhong-Tianshui Economic Zone (11JK0070), project of the Education Department of Shannxi Provincial Government. Studies on Gradient Development of Cultural Industry in Shannxi Province (11E067), project supported by Social Science Foundation of Shannxi Province, China, The Research on Overall Design of Cultivating Talents throughout Higher Education (SGH10107), Education Sciences Planning Project of Shannxi Province, China.

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Nadi, A.H. et al. (2023). Discovering the Role of M-Learning Among Finance Students: The Future of Online Education. In: Abedin, M.Z., Hajek, P. (eds) Novel Financial Applications of Machine Learning and Deep Learning. International Series in Operations Research & Management Science, vol 336. Springer, Cham. https://doi.org/10.1007/978-3-031-18552-6_11

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