Construction of Model to Enhance College Students’ Core Competitiveness from Perspective of Employment Competition through IoT Apps

Zhou, Fawei

doi:10.1155/2022/7472342

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Employment is the basis of human existence [7], while competitiveness is the key to remunerative employment and career growth. Many researchers studied the role of competition in the learning process.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of self-education on teachers’ competitiveness

Gorodnycha,

Gergul,

Olkhovyk

et al. 2023

EduLearn

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Lifelong learning skills and building competencies necessary for teachers’ competitiveness are urgent issues. This work aimed to study the relationship between teachers’ self-education and competitiveness. The research method used a questionnaire survey of teachers and principals of general secondary education institutions, as well as the method of comparison and mathematical methods. The results showed that there was a relationship between teachers’ motivation factors for independent lifelong learning, directions and sources with the achieved results of self-education was established. According to the framework of competitive competencies, the teacher’s qualities’ dependence on motivation, directions, sources and results of self-education was also revealed. The results of this study can be helpful as they arrange knowledge and research methods of the self-education process, taking into account motivation, directions, sources, and outcomes. Therefore, teachers should engage in self-education throughout their professional life to improve their competitiveness. They should also constantly update their knowledge of the fields related to teaching. They must develop synchronously with the evolution of science and technology and have a creative approach to learning. Teachers should supplement their knowledge of subject teaching methods, psychology, and health care. Further research should focus on other factors influencing improving teachers’ competitiveness.

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Section: Literature Reviewmentioning

confidence: 99%

The effect of self-education on teachers’ competitiveness

Gorodnycha,

Gergul,

Olkhovyk

et al. 2023

EduLearn

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: Construction of Model to Enhance College Students’ Core Competitiveness from Perspective of Employment Competition through IoT Apps

2023

Wireless Communications and Mobile Computing

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Analysis of Employment Competitiveness of College Students Based on Binary Association Rule Extraction Algorithm

Guo

2024

ICST Transactions on Scalable Information Systems

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Today, assessing competition among college students in the job search is extremely important. However, various methods available are often inaccurate or inefficient when it comes to determining the level of their readiness for work. Conventional techniques usually depend on simplistic measures or miss out on crucial factors responsible for employability. The challenging characteristics of such competitive employment of college students are the lower levels of perceived stress, financing my education, and crucial professional skills. Hence, in this research, the Internet of Things Based on Binary Association Rule Extraction Algorithm (IoT-BAREA) technologies have improved college students' employment competitiveness. IoT-BAREA addresses this situation using a binary association rule extraction algorithm that helps detect significant patterns and relationships in large amounts of data involving student attributes and employment outcomes. IoT-BAREA positions itself as capable of providing insights into features that highly mediate the employability levels among students. This paper closes this gap and recommends a new IoT-BAREA method to help increase accuracy and efficiency in evaluating student employment competitiveness. Specifically, this study uses rigorous evaluation methods such as precision, recall and interaction ratio to determine how well IoT-BAREA predicts students' employability.

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Construction of Model to Enhance College Students’ Core Competitiveness from Perspective of Employment Competition through IoT Apps

Cited by 3 publications

References 25 publications

The effect of self-education on teachers’ competitiveness

The effect of self-education on teachers’ competitiveness

Retracted: Construction of Model to Enhance College Students’ Core Competitiveness from Perspective of Employment Competition through IoT Apps

Analysis of Employment Competitiveness of College Students Based on Binary Association Rule Extraction Algorithm

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