An artificial intelligence based model for evaluation of college students’ ability and characteristics through teaching evaluation

2020 ◽  
pp. 1-11
Author(s):  
Bin Li ◽  
Yanying Fei ◽  
Hui Liu

The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system.

Author(s):  
Baoquan Wu

Teaching quality evaluation of physical education usually involves multiple influence factors with grey and uncertain information. This brings about limitations to effective evaluation of teaching quality of physical education in colleges and universities. Thus, this paper draws merits from previous research and proposes a teaching quality evaluation system and model of physical education in colleges and universities. First, based on real situations, grey categories of evaluation state for physical education teaching quality are established. The definite weighted functions of grey category of evaluation state are confirmed. Specific steps of the teaching quality evaluation model based on grey clustering analysis are accounted for. Finally, a case study is introduced to verify the model. This model enlightens a new way to evaluate teaching quality of physical education in colleges and universities.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yong Jin ◽  
Yiwen Yang ◽  
Baican Yang ◽  
Yunfu Zhang

Classroom teaching quality evaluation system can enable the school’s functional departments to accurately assess the performance of the teaching staff and current teaching operations. As per the requirements for cultivating high-quality talents, planned teaching staff construction and teaching reforms need to be carried out to promote teachers’ appointments. Improving the system makes the appointment process more scientific by giving due attention to the individual characteristics of all types of teachers while hiring them for related jobs. The system motivates the love of teaching, high academic level, high teaching level, and competitive teaching. In recent years, the rapid development of artificial intelligence and deep learning caused many colleges and universities to put forward the target of campus digitization and education informatization. The state of the classroom is a critical reference factor throughout the teaching and learning process for evaluating students’ acceptance of the course and the quality of the teaching. However, at present, the analysis of the classroom status is mainly conducted manually, which distracts teachers and is also not much precise. Therefore, finding a method that can improve the efficiency of classroom status analysis has great research significance. This study uses the deep neural network method to read each class’s video recording and analyze it from the aspects of students’ behavior and attendance. The system can realize class behavior and eventually evaluate the course quality employed to motivate teachers to improve teaching and overall quality of education.


2021 ◽  
Vol 3 (3) ◽  
pp. 26
Author(s):  
Lu Xia

The teaching quality evaluation system of "Ideological and Political Theories Teaching in All Courses" is far from perfect, as the appraisal content is unitary, and the appraisal method become too rigid. The evaluation system of teaching quality is quite an important mechanism and "baton" to promote the teaching quality of " Ideological and Political Theories Teaching in All Courses ". It has important and realistic research significance to construct a diversified teaching quality evaluation system of " Ideological and Political Theories Teaching in All Courses ". This article focuses on the teaching quality of appraisal content, evaluation subject, appraisal method, and believes that the overall framework of the multi-evaluation system of " Ideological and Political Theories Teaching in All Courses " teaching quality includes multi-evaluation index content, evaluation subject and multi-evaluation methods.


2013 ◽  
Vol 411-414 ◽  
pp. 2957-2960 ◽  
Author(s):  
Jing Liu

How to evaluate the teaching quality of Chinese teacher objectively is an important subject of each university. In view of the shortage of classroom teaching quality evaluation, AHP model is introduced to evaluate the quality of TCFL, and an Chinese teaching quality evaluation system is established. Based on the evaluation content and standard of the system, combined with the the principle of AHP and expert investigation method, a judgment matrix is established, and the weight of each index to the total target is calculated. The comprehensive weight of each index and evaluation object score are multiplied, through a series of calculation, the teachers comprehensive scores can be obtained so as to evaluate the teaching quality. The results show that it is very scientific and objective to evaluate Chinese classroom teaching quality by using AHP model, it is a feasible evaluation method and has higher application value.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yizhang Jiang ◽  
Bo Li

Due to the particularity of the artificial intelligence major and the machine learning courses learned, the traditional course teaching model is not suitable for artificial intelligence major machine learning courses. Based on this background, this article proposes a new system based on machine learning curriculum teaching reform. It mainly includes the reform of curriculum teaching mode, curriculum practice reform, and teaching process reform. In order to verify the effect of the proposed new model on the teaching quality of machine learning courses, this article also proposes an evaluation method based on intelligent technology. Firstly, the feasibility of evaluation based on intelligent technology is described. Secondly, it lists the application details of the existing teaching evaluation based on intelligent technology. Finally, a novel teaching quality evaluation system based on intelligent technology is proposed. The system collects student facial expression data and uses classification algorithms to make classification decisions on the data. The result of the decision can give feedback on the quality of classroom teaching. The comparison of experiments based on different intelligent technologies shows that the teaching quality evaluation system proposed in this article is feasible and effective.


2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Chao Su

The party building work of colleges and universities occupies a key position in all the work of colleges and universities. It is an important guarantee for promoting colleges and universities to fulfill the mission of cultivating people and achieve long-term and steady development. Entering the new era, under the new environment and situation, the party building work in colleges and universities is facing a series of opportunities and challenges. The current international political situation is becoming more and more severe. The domestic comprehensive and strict governance of the party continues to advance, and improving the quality of party building is an inevitable requirement of the new era and an important task of the new era. The work of party building in colleges and universities, like other grassroots party organizations, must have a scientific and reasonable quantitative evaluation system, otherwise its quality and level cannot be judged objectively. Based on the background and significance of the research on the quality evaluation system of party building work in universities, this article combs the research results of domestic scholars on the system, hoping to provide some reference for perfecting the system, improving the quality of party building work in universities and realizing the path and method of the overall development of universities.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fang Yuan ◽  
Yong Nie

With the rapid development of computer big data technology, online education in the form of online courses is increasingly becoming an important means of education. In order to objectively evaluate the teaching quality of online classroom, a teaching quality evaluation system based on facial feature recognition is proposed. The improved (MTCNN) multitask convolutional neural network is used to determine the face region, and then the eye and mouth regions are located according to the facial proportion relationship of the face. The light AlexNet classification based on Ghost module was used to detect the open and close state of eyes and mouth and combined with PERCLOS (percentage of eye closure) index values to achieve fatigue detection. Large range pose estimation from pitch, yaw, and roll angles can be achieved by easily locating facial feature angles. Finally, the fuzzy comprehensive evaluation method is used to evaluate students’ learning concentration. The simulation experiments are conducted, and the results show that the proposed system can objectively evaluate the teaching quality of online courses according to students' facial feature recognition.


2011 ◽  
Vol 188 ◽  
pp. 667-670
Author(s):  
Yong Zhong Wang ◽  
Min Li Zheng ◽  
Z.Q. Man ◽  
W. Li

This paper develops a mould computer supported cooperative design platform based on internet. Methods to evaluate the cooperative design quality of enterprises that take part in cooperative design are researched. A mould computer supported cooperative design evaluation architecture is built and an evaluation model based on fuzzy evaluation is established, based on which, a comprehensive quality evaluation system for computer supported cooperative design of mould is developed.


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