Open AccessA Study on University Undergraduate Teaching “Cask Effect” by Big Data Technology
Author(s) -
Chen Chen
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/2/022060
Subject(s) - incentive , mathematics education , class (philosophy) , investment (military) , order (exchange) , sociology , psychology , computer science , business , political science , economics , finance , microeconomics , artificial intelligence , politics , law
This paper explores the teaching status of different types of undergraduate colleges and universities from the perspective of the investment of teaching funds and the existing teaching problems. The results show that the hierarchical characteristics of the higher education system in China are generalized in undergraduate teaching, and there are significant differences in the teaching resources enjoyed by different types of colleges and universities, which are manifested in the differences in the investment of teaching funds. In addition, there are different “deficiencies” for different types of institutions in the overall school-running resources, the construction of the contingent of teachers, the orientation of talent training. In order to achieve first-class teaching, undergraduate students should recognize the phenomenon of “cask effect” in teaching, strive to break the circle structure of the existing university system, innovate the incentive mechanism of teachers, ease the “academic ratchet”, and clarify the goal and orientation of running a school, so as to achieve the first-class undergraduate education strategic objectives.