scholarly journals Design and Performance Analysis of a Training Mode for Digital Media Majors

2021 ◽  
Vol 16 (17) ◽  
pp. 149
Author(s):  
Huili Zhang ◽  
Bo Dong
Keyword(s):  
Performance Analysis ◽  
Digital Media ◽  
Strong Support ◽  
Implementation Strategies ◽  
Evaluation Index System ◽  
Uncertain Information ◽  
Analysis Model ◽  
Grey System ◽  
Training Mode ◽  
Implementation Effect

Under the influence of various factors, it is difficult to achieve a good quality in the training of digital media majors. What is worse, the current performance analysis models for the training quality cannot effectively handle uncertain information. To overcome these problems, this paper tries to design a training mode for digital media majors, and evaluates the performance of the model. Firstly, the defects of the current training modes for digital media majors were summarized in the context of the new era, and the implementation strategies and paths were formulated for improving the effect of the training mode. Further, a novel evaluation index system (EIS) was constructed to evaluate the performance of the said training mode, aiming to effectively assess the implementation effect of the mode. Besides, fuzzy system and grey system theories were fully integrated to build an improved performance analysis model for the training effect of digital media majors. The proposed model can effectively process the fuzzy information, and provide a strong support to the smooth implementation of the training mode for digital media majors. The research results boast profound theoretical and engineering values.

scholarly journals Strategies and Implementation Paths for Curriculum Setting of Digital Media Major in the Digital Age

2021 ◽  
Vol 16 (15) ◽  
pp. 152
Author(s):  
Zhiqi Zhou ◽  
Bo Dong
Keyword(s):  
Digital Media ◽  
Influencing Factors ◽  
Evaluation System ◽  
Implementation Strategy ◽  
Evaluation Model ◽  
Strong Support ◽  
Digital Age ◽  
Essential Elements ◽  
Implementation Effect

The professional courses of digital media major face several problems: too many influencing factors, unclear implementation strategy, and difficulty in evaluating the implementation effect. To solve these problems, this paper explores strategies and implementation paths for the professional courses of digital media major in the digital age. Firstly, the essential elements in curriculum setting were discussed, and the symptoms of the relevant problems were summarized; On this basis, the authors derived detailed strategies for the curriculum setting of digital media major. To ensure the effectiveness and reasonability of the professional courses of digital media major, an evaluation system and an evaluation model were constructed for judging the implementation effect of these courses. The research provides a strong support for the smooth implementation of the designed professional courses of digital media major, and a good reference for theorists and engineers in the relevant fields.

scholarly journals Application of Artificial Intelligence in College Dance Teaching and Its Performance Analysis

2020 ◽  
Vol 15 (16) ◽  
pp. 178
Author(s):  
Yingping Wang ◽  
Guang Zheng
Keyword(s):  
Artificial Intelligence ◽  
Performance Analysis ◽  
College Education ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Promotive Effect ◽  
Hierarchy Process ◽  
Fuzzy Interval

Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of colleges. To solve the problem, this paper identifies the problems with the AI in college education and dance teaching, theoretically discusses the application strategies of the AI in dance teaching of colleges, and demonstrates the promotive effect of AI in college dance teaching. Next, a performance analysis model was established based on fuzzy interval num-ber, grey system theory, and analytic hierarchy process (AHP), and adopted to evaluate the performance of the AI application in college dance teaching. The research results shed a new light on the application of cutting-edge tech-niques in college education.

scholarly journals Influence of Teacher-Student Matching on Knowledge Innovation of College Students

2021 ◽  
Vol 16 (01) ◽  
pp. 262
Author(s):  
Yuan Zhang
Keyword(s):  
College Students ◽  
Strong Support ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Teacher Student ◽  
Knowledge Innovation ◽  
Two Factors ◽  
Set Up

The relationship between teacher-student matching and knowledge innovation of college students is constrained by multiple factors. Considering the multiple constraints, this paper explores deep into the influence of teacher-student matching on knowledge innovation of college students. Firstly, the internal correlation between the two factors was identified through analysis. Next, the detailed contents of the two factors were examined, and used to set up an analysis model to improve knowledge innovation of college students based on teacher-student matching. Grey system theory and analytic hierarchy process (AHP) were implemented in the modeling process. Finally, several strategies were put forward to promote knowledge innovation among college students, from the perspective of teacher-student matching. The research results provide a strong support to knowledge innovation in colleges.

scholarly journals Research on the Evaluation Index System and the Grey Clustering Analysis Model of Teaching Quality of Physical Education in Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 59 ◽  
Author(s):  
Baoquan Wu
Keyword(s):  
Physical Education ◽  
Clustering Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Analysis Model ◽  
Grey Clustering

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.

scholarly journals Measuring User Assessments and Expectations: The Use of WebQual 4.0 Method and Importance-Performance Analysis (IPA) to Evaluate the Quality of School Websites

2019 ◽  
Vol 4 (1) ◽  
pp. 76
Author(s):  
Aulia Akhrian Syahidi ◽  
Arifin Noor Asyikin ◽  
Subandi Subandi
Keyword(s):  
Performance Analysis ◽  
Digital Media ◽  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Equation Modeling ◽  
Accurate Information ◽  
Data Processing Software ◽  
A Value ◽  
School Websites

As time goes by and technology advances, any information can be easily obtained from many media, both from various print media or digital electronic media. One of the fastest growing digital media and the main choice for individuals or agencies to get fast and accurate information is the website. One of the benefits of the website is that it can be used as an effective promotional media because it can be accessed by anyone and at any time. This study discusses the evaluation of school websites with a case study at the SMK Muhammadiyah 1 Banjarmasin using the WebQual 4.0 and Importance-Performance Analysis (IPA) methods. This study aims to measure user ratings of performance and expectations of users/visitors to the website of the SMK Muhammadiyah 1 Banjarmasin. The data in this study were obtained from the questionnaire using a sample of web visitors themselves, both through online based questionnaires and offline questionnaires with paper. This study uses data processing software, namely Structural Equation Modeling (SEM) 2.0. It can be concluded that in this study the results are measured by the level of performance (actual) and the level of importance (expectations) which shows that there is an overall gap for all dimensions -0.38 ie the website needs improvement and tends to still not be as expected. The biggest gap is in the Usability dimension with the largest value being -1.07 on USE5 variables, which means that the appearance of this website tends to be unattractive, not in line with expectations, and needs improvement. Then the acquisition of the value of R Square for the variable user satisfaction is 0.61, which means that the value indicates that the variable user satisfaction can be explained by usability, information quality, and service interaction with a value of 67.7%, while the remaining 32.3% is influenced by variables others not found in the research model.

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