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Deep Learning: Investigation and Analysis on the Public English Course Learning of Vocational College Students

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DOI: 10.23977/avte.2022.040210 | Downloads: 11 | Views: 547

Author(s)

Danlu Liao 1

Affiliation(s)

1 Foreign Languages &International Tourism Department, Chongqing Vocational Institute of Tourism, Chongqing, China

Corresponding Author

Danlu Liao

ABSTRACT

Deep learning originates from the research of artificial neural network. As an important way of learning, it has become a hot issue in teaching theory and practice research in recent years. Through questionnaire, this paper investigates public English course learning of vocational college students from four dimensions: learning input, knowledge integration, transfer and application, and evaluation and reflection. Through data analysis, it puts forward the learning strategies as stimulating learning motivation, cultivating high-level thinking ability, creating active learning environment and improving teachers' deep learning. The suggestions aim to promote the deep learning of public English in higher vocational colleges and to provide supports and references in the reform of public English teaching in vocational colleges. 

KEYWORDS

Deep learning, Vocational college students, Public English course

CITE THIS PAPER

Danlu Liao, Deep Learning: Investigation and Analysis on the Public English Course Learning of Vocational College Students. Advances in Vocational and Technical Education (2022) Vol. 4: 53-59. DOI: http://dx.doi.org/10.23977/avte.2022.040210.

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