Open AccessResearch on training top-notch applied talents of statistics based on OBE concept
Author(s) -
Tian Xie,
Cheng Chen,
Di Wu
Publication year - 2021
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 - 10.1088/1742-6596/1748/4/042057
Subject(s) - graduation (instrument) , curriculum , perspective (graphical) , training (meteorology) , mathematics education , context (archaeology) , statistical analysis , computer science , statistics , psychology , engineering , pedagogy , mathematics , artificial intelligence , geography , mechanical engineering , archaeology , meteorology
In the context of big data, the massive amount of data generated at all levels and fields of society and economy has made the market for top-notch statistical talents increasingly demanding. However, the current training of statistics professionals is mostly curriculum-oriented. It pays more attention to theoretical knowledge while the effect of practical ability training is not good. It is teacher-centered and ignores the fundamental goal of student learning results. Reform the training model of top-notch applied talents in statistics from the perspective of OBE education concept, that is, to be oriented by industry needs, clarify the learning outcomes and graduation requirements of statistics to reform the teaching system, then cultivate top-notch statistical talents who can meet the needs of the times and social development.