Abstract
This paper presents a new way of training youth aspiring to participate in the Salesian Polytechnic University (Guayaquil, Ecuador) (UPS-Guayaquil) Student Federation (FEUPS), proposing specific content for each federation position using blended learning and M-learning strategies with the help of Google Classroom. The methodology uses technologies that combine both classroom and distance learning activities, supported by the infrastructure of Google’s online platform, and allows the Salesian Polytechnic University’s current Student Federation to participate in efficient, accessible, timely and responsible learning; the use of technologies increases participants comfort and mobility as well as improving their time management. Collaborative applications permit real time access to information. Course planning is conducted according to the objectives of the FEUPS and the effectiveness of course implementation is documented through the verification of obtained knowledge. As the study shows, participants are highly satisfied with the innovative methodology used to implement the course. This study opens the possibility of uniting learning strategies for training through a combination of methodologies suitable for each intended purpose.
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GIEACI website available at: https://gieaci.blog.ups.edu.ec/.
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Acknowledgements
We thank the Salesian Polytechnic University for allowing us to conduct this study in its Guayaquil branch of the university; the team of youth aspiring to participate in the FEUPS; the members of the innovation in education group GIETICEA and of the research group GIEACI (https://gieaci.blog.ups.edu.ec/) for their unconditional support while conducting this study.
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Llerena-Izquierdo, J., Valverde-Macias, A. (2021). Google Classroom as a Blended Learning and M-learning Strategy for Training Representatives of the Student Federation of the Salesian Polytechnic University (Guayaquil, Ecuador). In: Botto-Tobar, M., Zamora, W., Larrea Plúa, J., Bazurto Roldan, J., Santamaría Philco, A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_32
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