Review of research on knowledge domains in university governance: Mapping literature in English and Chinese

Xue, Yujie; Zhu, Chang

doi:10.1111/ejed.12489

Cited by 4 publications

(2 citation statements)

References 27 publications

(24 reference statements)

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“…There are a lot of literary scholars who call this a way of supporting things and expressing feelings through scenery. At the same time, the author, in the depiction and creation of the mood, can also use their own words to build a relative depth of emotional mood world, so that the connotation and charm of the article can be enhanced [5][6].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Emotional Characteristics of Chinese Language Literature Based on the Thinking Operation Model

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, each text is mapped as a point in a multidimensional vector space in a thought operation model to represent the emotion feature vocabulary in Chinese language literary works in the form of word embedding. The bootstrapping technique is utilized to collect initial seed set vocabulary and target vocabulary, and a corpus of literary works with six basic emotion categories is established. Based on the emotional features of Chinese language literary works, the memory network model for textual emotion analysis based on multiple attention is constructed, and the textual emotion features of Chinese language literary works are empirically analyzed. The results show that the precision is 82.19%, 93.12%, and 94.1%, and the F1Score is 81.93%, 93.4%, and 93.76%, respectively, and the precision and F1Score are better than the effect of the control group model, i.e., it indicates that the effect of sentiment analysis is more excellent. The ratio values of positive emotion, negative emotion, and neutral emotion are, respectively, 63.16%, 15.49%, and 21.35%, i.e., the expression of emotion in Chinese language literary works is more rational. This study provides new perspectives and theoretical references for the study of traditional literary works and has the potential to expand the study in depth.

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Section: Introductionmentioning

confidence: 99%

Exploring the Emotional Characteristics of Chinese Language Literature Based on the Thinking Operation Model

2023

Applied Mathematics and Nonlinear Sciences

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“…Implementing Chinese language and literature education can make students feel the charm of traditional culture and inspire them to move forward. In the context of the continuous development of society, students need to have good professional and strong personal qualities, which requires teachers to train students comprehensively in teaching for their better development [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the degree of influence of university Chinese language and literature education on students’ humanistic quality based on the principle of interval number variable power

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the characteristic parameters with different properties are transformed into comprehensive quantified values, the deviation of characteristic parameters is defined using the interval number variable weight principle, and the teaching situation is created by combining students’ interests. The weight vector is derived from the disappointment function to assess the humanistic quality of Chinese language and literature education. Let the state vector be mapped by a variable-weight mapping, which will monotonically increase or decrease each variable continuum, reflecting the first-order change in Chinese language students' learning status. It is found that 18.66% of the first-year students in colleges and universities are familiar with humanistic quality, and the highest real-time rate is 0.9906. The principle of variable weight based on interval numbers can be used to effectively cultivate students' humanistic qualities and develop high-quality and innovative talents.

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A bibliometric analysis of global research on education in the Scopus database, 2013–2022

Maral

2024

GKMC

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Purpose The purpose of this study is to provide a comprehensive analysis of scientific knowledge in educational research over the past decade. The analysis aims to identify contributions to the field of education and trends in the literature. Design/methodology/approach Bibliometric analysis was conducted on 117,870 publications from 335 education journals in the Scopus database between 2013 and 2022. Findings This study shows educational research has increased consistently over the past decade. The USA showed high productivity, while the Netherlands produced the most impactful publications. The USA, UK and Australia have the highest research collaboration. Country collaboration network is divided into two blocks, comprising Western and Eastern countries, with the USA and the UK acting as bridges between these country groups. The bibliographic coupling analysis revealed that educational research is categorized into 11 clusters. Recent educational research aims to address the challenges in education, adapt to the changing technological, economic and social landscape and capitalize on emerging opportunities. Originality/value This study analysed over 100 thousand publications to identify the latest trends in educational research and highlight current developments in the field.

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Review of research on knowledge domains in university governance: Mapping literature in English and Chinese

Abstract: In the context of globalisation, public organisations are undergoing rapid transformation, and how to govern them scientifically has become an important research topic.

Cited by 4 publications

References 27 publications

Exploring the Emotional Characteristics of Chinese Language Literature Based on the Thinking Operation Model

Exploring the Emotional Characteristics of Chinese Language Literature Based on the Thinking Operation Model

Analysis of the degree of influence of university Chinese language and literature education on students’ humanistic quality based on the principle of interval number variable power

A bibliometric analysis of global research on education in the Scopus database, 2013–2022

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