Evaluation Model of Adaptive Teaching Ability of College Art Teachers

• Main Author: Fanwen Kong
• Format: Article
• Language: English
• Published: Kassel University Press 2020-05-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: teaching ability, art education, colleges, evaluation system, evaluation model
• Online Access: https://online-journals.org/index.php/i-jet/article/view/14031

The existing evaluation models for the teaching ability of college art teachers are unadaptable, unsystematic and incomplete. To solve these problems, this paper puts forward a novel model to evaluate the adaptive teaching ability of college art teachers. Firstly, the teaching demand of college art teachers was analyzed in the knowledge age, highlighting the necessity to evaluate the adaptive teaching ability of college art teachers. Next, an evaluation system was established for the adaptive teaching ability of college art teachers in the knowledge age, and different types of evaluation indices were identified. On this basis, the grey relational analysis (GRA) was introduced to build an evaluation model for the adaptive teaching ability of college art teachers. The GRA-based evaluation model enjoys good operability and feasibility. To sum up, this paper fully integrates the evaluation system and evaluation model for the adaptive teaching ability of college art teachers. The research results have great significance in terms of theoretical innovations and practical applications.