Vol 3, No 9 (2024)

DOI: https://doi.org/10.26789/ijest.v3i9

Table of Contents

Articles

178 Views, 53 PDF Downloads
Yangyang Chen, Hu Liu, Yujiao Liu
DOI:10.26789/ijest.v3i9.2006

Abstract

Meteorological personnel, as an important object of meteorological high-level scientific and technological innovation personnel training plan, innovation team support plan, talent strong base plan, meteorological talent gathering and introduction plan, and international talent training plan, will inevitably suffer from job burnout due to their boring work content. At present, there are few special studies on meteorological personnel, but there are sufficient studies on job burnout. Therefore, this paper chooses meteorological talents as the object, uses the MBI scale to investigate, does the relevant factor analysis, and puts forward the measures to alleviate or solve the job burnout of meteorological talents.

PDF
1-4
116 Views, 50 PDF Downloads
Chongyu Pan
DOI:10.26789/ijest.v3i9.2007

Abstract

This article aims to explore the innovative teaching mode of graphic advertising design courses to meet the teaching needs in the new media environment. By analyzing the importance of cultivating students' abilities, formulatingtraining plans and strategies, measures to address new media challenges, establishing teaching evaluation and feedback mechanisms, strengthening practice and training, innovating teaching methods and means, and clarifying teaching objectives and content, this article proposes a series of teaching models that can help enhance students' innovation and practical abilities. This model aims to cultivate students' innovative thinking, advertising design skills, and teamwork abilities to adapt to the rapidly changing advertising industry.

PDF
5-8
152 Views, 97 PDF Downloads
Yan Chen, Ke Yang
DOI:10.26789/ijest.v3i9.2008

Abstract

Taking the management of major ongoing projects in the infrastructure department of a university in Beijing as an example, this study aims to explore the application of the PDCA cycle method in the entire process management. Analyze the risk factors such as cost, schedule, and quality that affect the refined management of engineering, and propose key methods such as contract constraints, performance evaluation, and the use of BIM technology to build a project collaborative management platform, to construct a PDCA cycle closed-loop application model for major infrastructure projects in universities. The application of PDCA method has greatly improved the efficiency of refined management throughout the entire process of infrastructure projects, ensuring the smooth completion of infrastructure projects and supporting the high-quality development of schools.

PDF
9-12
111 Views, 102 PDF Downloads
Yiqi Wang
DOI:10.26789/ijest.v3i9.2009

Abstract

In today's society where new media and pop culture are popular, Chinese traditional folk art and culture such as red song culture are facing severe difficulties in inheritance and development. There is a conscious gap between the new generation of youth groups and the revolutionary culture and the red song culture, and their sense of belonging and spiritual resonance are weakening and weakening. This paper will explore the role of the new folk music "Shandandan blooming red yanyan" in the educational activities of colleges and universities, inherit and carry forward the red song culture through the innovation of folk music interpretation, continue the excellent solution of red blood, so that the original music can break the gap with the new generation of youth while retaining the classics. Enlighten young people's wisdom of innovation, encourage them to jump out of the inherent framework, provide a new path for the inheritance and innovation of red culture in music education in colleges and universities, and promote the inheritance and development of red music culture in music education in colleges and universities.

PDF
13-17
270 Views, 137 PDF Downloads
Xiaoyi Tang
DOI:10.26789/ijest.v3i9.2010

Abstract

The study aims to evaluate the effectiveness of AI-generated writing feedback and investigate students' preferences between AI and teacher feedback. The research involved 270 college first-year students in an eight-week quasi-experimental design and weekly surveys. The results indicate that AI-generated feedback did not result in superior linguistic progress among students compared to those who received teacher feedback. Findings also reveal a near even split in preference for AI-generated or teacher feedback, with clear advantages to both feedback forms. The study implies that AI-generated feedback can be incorporated into writing evaluations. We recommend a blended approach that utilizes the strengths of both forms of feedback.

PDF
18-23
111 Views, 45 PDF Downloads
Zhilin He
DOI:10.26789/ijest.v3i9.2011

Abstract

Most high school students are in the period of self-awareness awakening. It is in such a special stage that those children who used to treat their parents are more likely to have negative and low emotions when they face differences between their life plans and their parents' expectations, which will affect their physical and mental health and cause family conflicts. As a subject teacher, how to help them to untie the heart knot with their parents? How to provide them with the reference and advice on planning their life reasonably? How can you guide them through their adolescence more smoothly? All this, I wrote down my own practice and thinking. This paper focuses on a case of psychological counseling and education for students who are absent-minded and depressed, so as to explore the moral education methods that can be implemented after students encounter setbacks. At the same time, the author hopes that the several thoughts proposed in this paper can help more teachers who are troubled by moral education problems and students who have similar confusion in adolescence.

PDF
24-27
113 Views, 44 PDF Downloads
Yunyun Ma, Ting Quan
DOI:10.26789/ijest.v3i9.2012

Abstract

In view of the dynamic change of decision system data in practical problems, the concept of attribute importance function is proposed, which eff ectively avoids the defi ciency of considering only each attribute based on importance reduction algorithm. In the calculation process of matrix reduction algorithm, the sample combination explosion between big data causes huge time consumption. The matrix dimension reduction processing method is proposed, which greatly improves the effi ciency and accuracy of calculation. Finally, an incremental reduction algorithm based on matrix dimensionality reduction is presented, and the correctness of the algorithm is tested. Meanwhile, the results of the four algorithms are compared to verify the eff ectiveness of the algorithm.

PDF
28-32
121 Views,