Exploring Higher Education Pathways in Italy, France and Germany: A Linguistic Analysis of Master’s Degree Home Pages in English as a Medium of Instruction and the National Languages<sup>1</sup>

Pennarola, Cristina; Bandini, Amelia

doi:10.1080/10564934.2020.1827958

Cited by 1 publication

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“…From the results, higher education occupies the vast majority, followed by vocational education. is means that career guidance is also gradually gaining attention in vocational education in China, and the employment situation of students in secondary schools is getting the attention of society [13].…”

Section: Current Status Of Researchmentioning

confidence: 99%

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

Meng

Ren

Huang

2021

Scientific Programming

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This paper adopts a deep learning approach to analyze and study the mechanism of quantitative enhancement of college students’ employment and entrepreneurial abilities in the context of the digital era. The deep learning connotation is predetermined as five abilities, which are metacognitive ability, active communication and cooperation ability, deep processing ability, creative practice ability, and learning empathy experience, and, based on this, the deep learning questionnaire is designed, and it is reclassified by exploratory factor analysis to reduce the dimensionality, and the specific indicators and scientific connotation dimensions of the deep learning questionnaire are determined; and, through the deep learning of each dimension, the problems of deep learning of college students are examined and in-depth analysis is conducted, and the inner relationship and correlation among the dimensions of deep learning of college students are derived through correlation analysis. The success of innovation and entrepreneurship depends on the innovation and entrepreneurial ability of college students, and the formation of the ability influenced various factors. Therefore, not only is studying the influencing factors of college students’ innovation and entrepreneurship ability in line with the requirements of the times and social development, but also it can solve real problems. This thesis adopts a combination of two methods, qualitative research and quantitative research, to study the influencing factors of college students’ innovation and entrepreneurship ability and tries to ensure the scientificity, accuracy, and comprehensiveness of the conclusion. In this paper, we analyzed the requirements of the employment prediction system for graduating secondary school students, carried out the software framework and database design of the employment analysis and prediction system for secondary school students, and designed the system modularly based on the analysis results. By applying the proposed deep feedforward neural network prediction model to the prediction system, a software system applicable to the employment prediction and guidance of secondary school students is implemented.

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Section: Current Status Of Researchmentioning

confidence: 99%

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

Meng

Ren

Huang

2021

Scientific Programming

View full text Add to dashboard Cite

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Exploring Higher Education Pathways in Italy, France and Germany: A Linguistic Analysis of Master’s Degree Home Pages in English as a Medium of Instruction and the National Languages¹

Cited by 1 publication

References 25 publications

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

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Exploring Higher Education Pathways in Italy, France and Germany: A Linguistic Analysis of Master’s Degree Home Pages in English as a Medium of Instruction and the National Languages1

Cited by 1 publication

References 25 publications

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

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Exploring Higher Education Pathways in Italy, France and Germany: A Linguistic Analysis of Master’s Degree Home Pages in English as a Medium of Instruction and the National Languages¹