Improvements in the Academic Satisfaction of University Students Through the Effective Use of Learning Management Systems and Pedagogical Innovations

The fast speed of technology has meant that the educational environment has altered characteristics of its environment, making it difficult for various colleges and professional schools to understand the need to incorporate these changes into their educational offerings. In today's interconnect...

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Veröffentlicht in:Journal of higher education theory and practice 2023-05, Vol.23 (7), p.202-210
Hauptverfasser: Rojas, Jaime César Mayorga, Lira, Luis Alberto Núñez, Fernández, Yolvi Ocaña, Fuster-Guillén, Doris, Trujillo, Lida Violeta Asencios, Trujillo, Lucia Asencios
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Sprache:eng
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Zusammenfassung:The fast speed of technology has meant that the educational environment has altered characteristics of its environment, making it difficult for various colleges and professional schools to understand the need to incorporate these changes into their educational offerings. In today's interconnected world, a curriculum based on the development of professional competencies and scientific research cannot prepare oblivious students for professional success whether nationally or internationally. Students participating in diverse programs require a flexible curriculum that helps them identify and develop the knowledge, skills, and mindset they will need to succeed in the global markets in which they wish to work. To better prepare students to compete in global markets, it is recommended that a conceptual framework be built to align education with changes in technology and the global environment. The overall objective of this study was to investigate how learning management and innovation affect students' perceptions of their educational experience. Quantitative, fundamental-substantive, explanatory, cross-sectional, and non-experimental methods were used. Random sampling was chosen for practical reasons, and135 university students were selected. The findings showed very high reliability (measured by Cronbach 's alpha). Also, multinomial logistic regression examined the data collected after service delivery. Since the tests showed no correlation between the variables, the null hypothesis was accepted and ruled out the significance of the impact of the variable.
ISSN:2158-3595
2158-3595
DOI:10.33423/jhetp.v23i7.6024