Novel Methodology for Arbitration of Talented Students using an Electronic System: A Higher Education Perspective

In higher vocational colleges, the teaching reform of art courses faces complex problems, namely, the evaluation system is imperfect, and the evaluation model involves complex calculations. To solve these problems, this paper strives to enhance the teaching reform capacity of art courses in higher vocational colleges. Firstly, the factors affecting the said teaching reform were identified. Next, an index system was established to evaluate the teaching reform capacity. The index system was integrated with the gray theory into an evaluation model of the teaching reform capacity. Based on the evaluation results, several strategies were put forward to enhance the teaching reform capacity. The research results provide a good reference for higher vocational colleges to reform the teaching of art courses.

Section: Introductionmentioning

confidence: 99%

Evaluation Model and Enhancement Strategies for Teaching Reform Capacity of Art Courses in Higher Vocational Colleges

Miao

2020

“…Higher education plays a very important role in promoting the training of senior talents. Following the continuous development of higher education, the ability training of college students is also constantly improving [1][2]; especially with the wide application of emerging intelligent technology in higher education, higher requirements have been proposed for the improvement of comprehensive quality such as innovation ability in the training process of college student [3][4][5]. Colleges focus on the cultivation of innovation ability among graduate students and undergraduates, which two have different goals and requirements.…”

Section: Introductionmentioning

confidence: 99%

Influence of Teacher-Student Matching on Knowledge Innovation of Graduate Students

Jin-gui¹,

Yanming²

2020

The teacher-student (T-S) matching in colleges has not been studied in a thorough and systematic manner. It remains unclear how college T-S matching affects the knowledge innovation of graduate students. Therefore, this paper firstly analyzes the factors affecting the knowledge innovation of graduate students, and selects the T-S matching mode that promotes their knowledge innovation. Then, the promotion of knowledge innovation was investigated under the T-S matching. Finally, the authors quantified the importance of knowledge innovation among graduate students, and summarized the strategies and methods for cultivating innovation ability based on T-S matching. The research results provide a panoramic view of the cultivation of innovation ability among graduate students from the angle of T-S matching.

“…Therefore, it has attracted more and more researchers' attention and rapidly developed in various engineering fields [1][2][3][4]. The development of innovation is inseparable from the cultivation of senior talents, and the innovation ability of senior talents is a key feature for the effective implementation of higher education, which requires the higher education to use more innovation elements with the rapid development of scientific and technology in the 21st century [5,6]. As an important aspect of the comprehensive quality, the innovation ability of college students is also a key link to improve their comprehensive quality.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Model for the Cultivation and Improvement of the Innovation Ability of College Students

Wang

Yan

2020

In modern times, the innovation ability of college students is a focus of college education. However, the cultivation and improvement of this ability are constrained by many factors, and the ability is too complex to be evaluated accurately. To solve the problems, this paper puts forward an extension model suitable for evaluating the cultivation and improvement of the said ability. Firstly, the research problem was defined clearly as the evaluation of the cultivation and improvement for the innovation ability of college students. Based on the extension theory, an evaluation model was established for the cultivation and improvement of the said ability, the workflow of model implementation was explained, and the corresponding evaluation algorithm was designed in details. Finally, the proposed model and algorithm were proved operable through case analysis. The research results provide support to the solution of complex systematic decision-making problems.