On Deep Learning-Based Synthesis of Language Training and Humanistic Education in College English Teaching

doi:10.4236/oalib.1107493

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Open Access Library Journal 8 2021

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On Deep Learning-Based Synthesis of Language Training and Humanistic Education in College English Teaching

DOI: 10.4236/oalib.1107493, PP. 1-10

Fang Gu

Subject Areas: Language Education

Keywords: College English, Humanistic Education, Deep Learning, Deeper Learning Cycle

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Abstract

In recent years, the overemphasis on language training and the overlook of humanistic education in English teaching arouse a shared concern among scholars. Correspondingly, a new reform has been initiated, calling for returning English teaching to the place as a discipline of humanities. More and more scholars tend to believe that strengthening humanistic education and enhancing language skills are not mutually exclusive in the discipline of English, which, in contrast, should be synthesized. Under the guidance of Deep Learning Theory and Deeper Learning Cycle (DELC), considering the course features, the current paper explores a deep learning path of implementing the model of language teaching combined with humanistic education through the following steps: problem solving-based objective setting, two-way exploration of materials related to humanistic education, and deep learning-based integration of humanistic education into learning process, hoping to provide a reference for the design, construction and implementation of humanistic education in language courses.

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Gu, F. (2021). On Deep Learning-Based Synthesis of Language Training and Humanistic Education in College English Teaching. Open Access Library Journal, 8, e7493. doi: http://dx.doi.org/10.4236/oalib.1107493.

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