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ClassFlow: Performance Indicator Based on Learning Routes

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Information Technology and Systems (ICITS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1137))

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Abstract

At present, education is subject to a series of changes that generally affects the exact sciences such as physics and mathematics. This makes the methodological or pedagogical process always the same, the same sequence, the same series and some teachers generally accept any process as long as I came to the answer, although in some cases there is resistance from the students. Although most teachers prefer the traditional and reproduce only what he learned during his training, this type of thinking limits learning to the student and makes him a mechanic or a memorist. During the investigation, it has been considered what needs to change the mentality of human behavior in teaching students, transform their method, their thinking in a pedagogical way, using necessary face-to-face resources that facilitate the teacher to make an interactive class, attacking the different styles of learning that exist within a classroom and therefore covering some special educational needs that may or may exist within the classroom. The ClassFlow tool is a teaching support resource that helps and greatly facilitates understanding to foster the ideology that exact sciences can also be practiced online or in real time, inside or outside a laboratory, using the resources or mobile devices that Students have, like their internet data, ClassFlow is a powerful tool that helps control any type of hyperactivity or learning problem within the classroom. Therefore, ClassFlow is being used in several institutions worldwide to improve the student learning process. The Promethean ClassFlow teacher learning platform allows you to plan classes more efficiently and make the classes a more interesting experience for your students.

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Correspondence to Franklin Chamba .

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Chamba, F., Arias, S., Maldonado, R.P., Freire, D. (2020). ClassFlow: Performance Indicator Based on Learning Routes. In: Rocha, Á., Ferrás, C., Montenegro Marin, C., Medina García, V. (eds) Information Technology and Systems. ICITS 2020. Advances in Intelligent Systems and Computing, vol 1137. Springer, Cham. https://doi.org/10.1007/978-3-030-40690-5_50

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