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RIDE. Revista Iberoamericana para la Investigación y el Desarrollo Educativo

On-line version ISSN 2007-7467


ALVAREZ CEDILLO, Jesús Antonio; ALVAREZ SANCHEZ, Teodoro; SANDOVAL GOMEZ, Raúl Junior  and  AGUILAR FERNANDEZ, Mario. The Exploration in the Develop Deep Learning. RIDE. Rev. Iberoam. Investig. Desarro. Educ [online]. 2019, vol.9, n.18, pp.833-844. ISSN 2007-7467.

Deep learning debates the problem of integral learning as opposed to superficial learning, where knowledge is accepted mechanically, passively and where private information is stored. Thus, deep learning focuses on extracting details from active teaching. The planning of this method requires that students understand the outside world, through their initiative, and propose a positive result or passively accept another proposal that demonstrates the strategy of deep learning.

In addition, deep learning acquires a practical and skillful meaning through the link established between existing knowledge and new knowledge, and offers the possibility of extending the creative process with the help of technology; this will activate students with learned insight and take the acquired experience to apply it in different contexts.

It is concluded that the integral learning allows outlining a series of indications regarding the what, when and how to explore and evaluate the previous knowledge of the students. This integration will enable us to learn three to five times faster, arousing interest and increasing the motivation to achieve deep learning.

Keywords : integral learning; deep learning; surface learning.

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