Research on intelligent teaching model from the perspective of deep learning

Volume 6, Issue 6, December 2021     |     PP. 214-225      |     PDF (193 K)    |     Pub. Date: November 15, 2021
DOI: 10.54647/education88296    84 Downloads     5200 Views  

Author(s)

Jing Huang, Yancheng Teachers University, Jiangsu 224002, China
Yong Zhang, Yancheng Teachers University, Jiangsu 224002, China

Abstract
Deep learning and shallow learning (or surface learning) are two types of learning that are classified according to the level of understanding that students achieve in learning. As the concept of education continues to be upgraded, the cultivation of higher-order thinking in students is being emphasized more and more, and deep learning is being strongly promoted as an inevitable trend of the times. In the traditional teaching mode, deep learning is difficult to be implemented. With the continuous use of modern information technology in the field of teaching and learning, intelligent teaching and learning have brought convenience to deep learning. The implementation of an intelligent teaching model to achieve deep learning needs to meet at least three major requirements: the creation of an intelligent teaching environment, the cultivation of teachers' intelligent teaching ability, and the enhancement of students' self-learning awareness. Taking Jack London's "Love of Life" as an example, this paper explores how to develop deep learning under the intelligent teaching model.

Keywords
deep learning; intelligent teaching model; requirements; case

Cite this paper
Jing Huang, Yong Zhang, Research on intelligent teaching model from the perspective of deep learning , SCIREA Journal of Education. Volume 6, Issue 6, December 2021 | PP. 214-225. 10.54647/education88296

References

[ 1 ] Marton F, Saljo R. On qualitative differences in learning: I-Outcome and Process[J]. British Journal of Educational Psychology, 1976,46(1):4-11.
[ 2 ] Entwistle, N.J, Hanley, Maureen, Ratcliffe, G. Approaches to Learning and Levels of Understanding[J]. British Educational Research Journal, 5(1):99-114.
[ 3 ] Ramsden, Paul. Student Learning Research: Retrospect and Prospect[J]. Higher Education Research & Development, 4(1):51-69.
[ 4 ] Sun Yinli. Awareness of deep learning[J]. Journal of Shaoxing University,2007,27(11):34-36.
[ 5 ] Zhang Hao, Wu Xiujuan, Wang Jing. Objectives of deep learning and evaluation system construction[J].China Educational Technology (Theory of Educational Technology), 2014(7):51-55.
[ 6 ] B.S. Bloom, D.R. Krathwohl, B.B. Masia．Bloom's taxonomy of educational objectives：Pearson Education[M]，1984.
[ 7 ] Biggs J. B. Individual differences in the study process and the quality of learning outcomes[J]. Higher Education，1979(8): 381-394.
[ 8 ] Lu Wancheng. Smart Education - The new frontier of education informatization[J]. Education Forum. 2016(03):7.
[ 9 ] Zhu Zhiting. New development of smart education: from flipped classroom to smart classroom and smart learning space[J]. Open Education Research.2016,22(01):18-26+49.
[ 10 ] Wang Dong, Zhang Min, and Wang Xin. Smart Classroom Practices in University Physics[J]. Kejifeng, 2021(26): 78-80.