Research on English Reading Teaching in High Schools from the Perspective of Deep Learning
-- Taking the 2022 Zhejiang Provincial Reading Teaching Open Course as an Example
DOI:
https://doi.org/10.54691/fsd.v3i3.4540Keywords:
High School English; Teaching Reading; Deep Learning; Core Competencies.Abstract
Reading is an important part of high school English teaching and an important way to improve students' subject literacy. Deep learning is based on the learning method of student subjects, which provides the possibility for the landing and growth of core literacy of subjects. High school English reading teaching from the perspective of deep learning requires students to critically accept the views, thoughts, emotions, etc. in the text on the basis of understanding the general meaning of the text, integrate new knowledge with old knowledge, transfer it to practical application and solve problems. The teaching of English reading under the concept of deep learning can improve students' English ability, so that their cultural character, thinking quality and learning ability can be developed. This paper analyzes the current situation of deep learning in high school English reading courses, summarizes the connotation of deep learning, explains the teaching strategies of high school English reading to achieve "deep learning", and explores the teaching practice of high school English reading courses under deep learning based on teaching cases.
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References
Ahrabi Fakhr, M., Borzabadi Farahani, D., & Khomeijani Farahani, A. A.Incidental Vocabulary Learning and Retention From Audiovisual Input and Factors Affecting Them. English Teaching & Learning,(2021), 45(2), 167-188.
Coniam, D.The Use of Audio or Video Comprehension as An Assessment Instrument in The Certification of English Language Teachers: A case study. System, (2001),29(1), 1-14.
Meyer, B. J., & Freedle, R. O. Effects of Discourse Type on Recall. American Educational Research Journal,(1984), 21(1), 121-143.
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