Open AccessImproving the Teaching Ability of Dance Major Courses
Author(s) -
MA Fu-bo
Publication year - 2021
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v16i04.20477
Subject(s) - dance , computer science , dance education , process (computing) , mathematics education , reliability (semiconductor) , multimedia , psychology , visual arts , art , power (physics) , physics , quantum mechanics , operating system
To improve the teaching ability of dance major courses, special attention should be paid to the following factors: the completeness of the evaluation index system (EIS), the fuzziness and uncertainty of the evaluation process, and the reliability and accuracy of the evaluation. Considering these factors, this paper summarizes the connotations and essential features of the teaching ability of dance major courses, and explores deep into the factors affecting that teaching ability. On this basis, the authors created a series of improved EISs and constructed an improved model for the evaluation of the teaching ability of dance courses, drawing on entropy method and grey theory. The proposed model enables dance teachers to improve their ability to teach dance major courses. The research results lay the theoretical and practical bases for the teaching reform in the dance major of colleges.