Teaching Method Improvement of Engineering Management Major in University Based on Data Mining

2019 ◽  
Author(s):  
Liu Xiuhong
Keyword(s):  
Data Mining ◽  
Teaching Method ◽  
Engineering Management ◽  
Method Improvement

Study on Practical Method of Mechanical Engineering Management Based on Virtual Sandbox Approaches

2012 ◽  
Vol 239-240 ◽  
pp. 1624-1627
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Hua Wang ◽  
Liang Xu
Keyword(s):  
Project Management ◽  
Mechanical Engineering ◽  
Teaching Method ◽  
Practical Method ◽  
Engineering Management ◽  
Engineering Project ◽  
Teaching Mode ◽  
Teaching System ◽  
Engineering Project Management ◽  
Practical Teaching

The practical teaching method is proposed based on the comprehensive training, applies virtual sandbox in practical teaching of mechanical engineering project management, and makes detailed researches on the advantages of virtual sandbox applied in project management as well as design of practical teaching system, in order to improve the practical ability on project management of students in major of mechanical engineering; it is shown from the results that the method is capable of effectively helping students strengthening vocational skills under teaching mode of comprehensive training and enhancing their overall quality and practical ability.

scholarly journals Innovative Research on Teaching Method of Taekwondo in College Elective Courses under the Background of Big Data

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Yahui Chang ◽  
Su Meng ◽  
Hong Chao
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Teaching Methods ◽  
Teaching Method ◽  
Technological Revolution ◽  
The Core ◽  
Innovative Research ◽  
Core Technology ◽  
Research On Teaching ◽  
Elective Course

In the new stage of the new century, a new technological revolution is coming quietly. This revolution is represented by “data.” The application of “big data (B D A)” technology is causing changes in all walks of life, and the use of “B D A research methods” in the education field will inevitably become a trend. The purpose of this article is an innovative research on the teaching methods of Taekwondo based on the background of B D A in a college elective course. This paper first introduces the core technology of the database by summarizing the basic theory of the database. Based on the current situation of elective Taekwondo teaching in contemporary universities, analyze the current problems and deficiencies and conduct innovative research on college elective Taekwondo teaching methods combined with Beidou technology. This paper systematically expounds the practical connection, method innovation, and implementation path between BDA technology and college elective Taekwondo teaching methods and compares the traditional Taekwondo teaching methods based on BDA technology. Experimental research shows that compared with traditional Taekwondo teaching methods, the performance of university Taekwondo teaching based on data mining (D M I) in the context of B D A is more than 20% higher, which fully reflects its feasibility and the innovation of traditional Taekwondo teaching methods needs to be solved urgently.

scholarly journals Predicting Academic Performance with Applying Data Mining Techniques (Generalizing the results of two Different Case Studies)

2014 ◽  
Vol 3 (2) ◽  
pp. 79-88 ◽  
Author(s):  
Rozita Jamili Oskouei ◽  
Mohsen Askari
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Case Studies ◽  
Teaching Method ◽  
Probability Of Failure ◽  
Data Mining Techniques

Several research works are attempted to predict students academic performance and assess  the  evaluating students knowledge  or  detecting  students’  weakness and probability of failure in final semester examinations. However, several factors affect the performance of students in different countries or even in different states of one country. Therefore, understanding these factors and analyzing the effects of each one of those factors in each country, is necessary for improving instructors’ decisions in selecting   the best teaching method for helping weak students or   increasing performance  of  other  students. This study is motivated  to  study  the  students’ academic performance in high  school  and  bachelor  degree  studies  in  Iran and comparing these analysis results with the similar study’s results in India.

Local Universities and Colleges of Undergraduate Course Civil Engineering Specialty in Engineering Geological Practice Problems Probing

2014 ◽  
Vol 584-586 ◽  
pp. 2707-2711
Author(s):  
Jun Zhao Gao ◽  
Jun Hui Zhao
Keyword(s):  
Process Management ◽  
Civil Engineering ◽  
Engineering Geology ◽  
Teaching Method ◽  
Teaching Experience ◽  
Universities And Colleges ◽  
Teachers And Students ◽  
College Of Engineering ◽  
Writing Practice ◽  
Method Improvement

Engineering geology course is a basic courses in engineering specialty, engineering geology practice is an important link of teaching. But now ,many of the college of engineering geological practice by the teachers and students understanding unclear and practice base of is not fixed, practice such as shortage of funds problems affected exercitation effect. Based on engineering geology internship status, Xuchang university combined with years teaching experience from the curriculum status, writing practice instruction, practice process management, teaching method improvement etc is studied, the good results have been achieved, for academic reference .

scholarly journals Technical and Vocational Education Analytics Using Punjab TEVTA Students’ Data

2018 ◽  
pp. 37-48
Keyword(s):  
Data Mining ◽  
Vocational Education ◽  
Teaching And Learning ◽  
Teaching Method ◽  
Technical Education ◽  
Educational Data Mining ◽  
Vocational Education And Training ◽  
Classification Problems ◽  
Data Set ◽  
Data Mining Techniques

The development of informative workforce that is skilled in a specific profession is considered as the most recommended and desirable feature of any advanced state. Technical Education & Vocational Trainings provide golden opportunity of growth regarding the output of individuals and prosperity of employers. Subsequently it is the dire need of developing countries to invest in public vocational education and training sector (VET) for the progression of skillful societies. Process of manual predictions and analysis on the basis of students’ data to make decisions that will improve the overall teaching and learning is very difficult and tiring. Data mining is exceptionally helpful when we are talking about education data analysis and prediction. Data mining techniques are being used successfully in different areas especially in student educational and learning analytics called as Educational Data Mining (EDM). In this work, TEVTA students’ data is shaped as a ready-to-mine data set and then various data mining techniques are applied to derive interesting patterns that can potentially derive important decisions for improvement of learning process, enhancement of teaching method and overall development of whole system of technical education and vocational trainings. Besides presenting interesting analytics of TEVTA data, we develop classification problems to predict status of students after completing TEVTA courses. This classification can also help in evaluating success of TEVTA programs. This work can help in analyzing and predicting the aspects affecting students’ as well as institutes’ performance from different dimensions.

scholarly journals Improve Teaching Method of Data Mining Course

2012 ◽  
Vol 4 (2) ◽  
pp. 15-22
Author(s):  
Sakha'a Al Manaseer ◽  
Areej Malibari
Keyword(s):  
Data Mining ◽  
Teaching Method
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