TITLE:
Rational Analysis of Deep Learning in Mathematics
AUTHORS:
Yanan Liu
KEYWORDS:
Deep Learning, Shallow Learning, Understanding and Construction, Migration Application
JOURNAL NAME:
Creative Education,
Vol.13 No.3,
March
22,
2022
ABSTRACT: Under the background of talent training requirements
and classroom teaching in mathematics, this article compares the differences
between shallow learning and deep learning, and finds the characteristics of
mathematical deep learning: unity of shallow processing and deep processing,
unity of multiple understanding and overall construction, unity of master
knowledge and promotion ability, unity of independent learning and cooperative
learning, and unity of active learning and lifelong learning. Accordingly, it
puts forward the rational understanding to promote deep learning in
mathematics: rational understanding of deep learning, dealing with dialectical
relations, and giving full play to the guiding value of teachers.