This paper explores trends in the development of technological applications in education, attempts to identify key decision-making factors related to the transition from traditional classrooms to future classrooms, and seeks to determine and analyze the relationships between structural factors and their importance. This study investigates the future evolution of education and predicts possible pathways and strategic proposals related to educational evolution by observing previous modes of operation within traditional education and traditional education models, investigating operational and structural modes within the current educational environment, and studying solutions to current problems and the accomplishment of educational reforms. Using a service design workshop, we explore key factors affecting English education in the classrooms of the future, conducting analysis by addressing the interaction between operations management, flipped education, and modes of learning. This study investigates key factors related to the introduction of supplementary English education into future classrooms, in addition to providing valuable considerations and viewpoints related to the development of future classrooms. This study focuses on investments in the educational environment of future classrooms and brings educational resources into play to increase educational efficacy. The ability of supplementary education to quickly evolve away from traditional teaching styles is fostered by allowing for the continued operational development of Taiwan's supplementary education institutions. We hope that future technology and artificial intelligence will optimize learning environments and enable the establishment of a new paradigm in education.
|Number of pages||18|
|Journal||American Journal of Industrial and Business Management|
|Publication status||Published - Apr 24 2017|
Hsu, C-L., Chen, M-C., Shia, B-C., & Wang, S-M. (2017). Factor Analysis of the Effects of the Introduction of English Supplementary Education to Future Classrooms. American Journal of Industrial and Business Management, 7, 386-403. https://doi.org/10.4236/ajibm.2017.74028