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Research on the Diagnosis of Students’ Cognitive Level Based on Deep Learning
Author(s) -
Qingyun Hou
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6106955
Subject(s) - computer science , cognition , graduation (instrument) , scheme (mathematics) , the internet , quality (philosophy) , affect (linguistics) , mathematics education , artificial intelligence , multimedia , psychology , world wide web , mathematical analysis , philosophy , geometry , mathematics , communication , epistemology , neuroscience
In order to improve teaching quality and reduce students’ learning difficulty, this study introduces the concept of Teaching for the Ability (TFA) on the basis of traditional Internet teaching, uses big data to calculate students’ cognitive ability, and uses the evaluation results of students’ cognitive ability to drive the Internet learning scheme tailored for each student one by one. In the data validation analysis, it is found that the cognitive ability evaluation results made by the system directly affect the students’ final performance in the national unified graduation examination, and the education scheme for students with low cognitive ability is found in the data analysis.

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