Rethinking the notion of the high-performing education system: A Daoist response

Author(s):  
Charlene Tan

This article challenges the dominant notion of the ‘high-performing education system’ and offers an alternative interpretation from a Daoist perspective. The paper highlights two salient characteristics of such a system: its ability to outperform other education systems in international large-scale assessments; and its status as a positive or negative ‘reference society’. It is contended that external standards are applied and imposed on educational systems across the globe, judging a system to be high- or low- performing, and consequently worthy of emulation or deserving of criticism. Three cardinal Daoist principles that are drawn from the Zhuangzi are expounded: a rejection of an external and oppressive dao (way); the emptying of one’s heart-mind; and an ethics of difference. A major implication is a celebration of a plurality of high performers and reference societies, each unique in its own dao but converging on mutual learning and appreciation.

2018 ◽  
Vol 7 (1) ◽  
pp. 42
Author(s):  
Erkan Çer ◽  
Ekrem Solak

The quality of a teacher plays one of the most important roles in the achievement of an education system. Teachertraining is a multi-dimensional process which comprises the selection of teacher candidates, pre-service training,appointment, in-service training and teaching practices. Therefore, this study focuses on teacher training processes inSingapore, Shanghai-China, Hong Kong-China and Turkey and aims to discover the reasons for success in Program forInternational Student Assessment (PISA) by relating it with teacher training processes. Singapore, Shanghai-China,Hong Kong-China were chosen to study because their educational systems were ranked among the high-performingeducational systems in 2016. This study was a qualitative research and document analysis method was used to collectdata about the relevant countries' teacher training processes. The result of the study suggested some practicalconsiderations for teacher training programs in low-performing education systems about the selection of teachercandidates, pre-service training, appointment, in-service training and teaching practices.


2021 ◽  
Author(s):  
Hanno Kruse ◽  
Clemens Kroneberg

Different lines of research have argued that specific groups, such as boys or ethnic minorities, are more prone to develop an anti-school culture than others, leading to group differences in the social acceptance of high performers. Taking an ecological view, we ask to what extent the school context promotes or prevents the emergence of group-specific oppositional cultures. Theoretically, we argue that group-based oppositional cultures become more likely in schools with low socio-economic resources and in schools where socio-economic differences align with demographic attributes. We test our hypotheses based on data from a large-scale, four-wave network panel survey among more than 4,000 students in Germany. Applying stochastic actor-oriented models for the coevolution of networks and behavior, we find that group-based oppositional cultures in which students like high performers less are very rare. However, in line with theoretical expectations, the less resourceful a school is, the more boys tend to evaluate high-performing peers less positively than girls do. Moreover, the more ethnic minority boys are socioeconomically disadvantaged in a school, the more they tend to evaluate high performers less positively than majority boys do.


2020 ◽  
Vol 5 (1) ◽  
pp. 7-14
Author(s):  
Anna Verbytska ◽  
Nataliia Kholiavko

The globalization of the scientific-educational area determines the search for new competitive advantages of universities. One of the modern instruments of competition in the world educational services market is universities ranking. Nowadays the educational rankings are widespread; they are studied by researchers and experts of international organizations. In the same time the high dynamism of scientificeducational area requires the permanent monitoring of the competitive positions of the national higher education systems. The purpose of the article is to analyze the competitive positions of higher education systems of selected countries in the world rankings, as well as to identify the directions of increasing their competitiveness in the context of globalization and digitization of the scientific-educational area. The authors studied the methodology of a range of popular rankings of educational systems, and analyzed the ranks of selected countries (United States of America, Switzerland, United Kingdom, Sweden, Denmark, Canada, Finland, Norway, Ukraine, Germany, France, Austria, Poland, China, and Spain). The selection is based on the differentiation of the countries according to the geographic position and ranking position. The source of data: bases of international organizations OECD, World Bank, UNESCO, ILO; and rankings ARWU, SCImago, Webometrics, and Leiden Ranking. Based on the comparative analysis, the article concludes that the increasing of competitiveness of the national higher education system needs the use of integrated approach combining the set of educational, research, financial, internationalization, and managerial components. The authors emphasized the urgency of developing and implementing institutional strategies for internationalization of universities, synchronized with national ones.


2019 ◽  
Vol 4 (22) ◽  
pp. 286-291
Author(s):  
Anastasia Y. Pleshakova

Globalization challenges, which affected the geopolitical and economic processes, labor market transformation and education internationalization have shaped the urgency of the problem. The purpose of the article is to compare vocational education systems in Germany and Turkey (using the dual system as an example) in order to identify the possibilities of transferring ideas and practices of the dual education system. A comparative analysis is the leading research method, which uses the context, transfer and forecasting methodology. Description and comparison of the context main elements allow determining the possibilities and conditions of the dual education system transfer. The findings provide an opportunity to identify transfer risks and predict the consequences of borrowing. The research results significance consists in context, transfer, and forecasting substantiating as the comparative analysis elements and applying this methodology to the processes of professional education.


2018 ◽  
Vol 3 (1) ◽  
pp. 109-121
Author(s):  
Vasileios Dagdilelis

Greece these last 15 years has developed and implemented a large-scale system for the integration of digital technologies in education and more specifically in the teaching practice. "Large-scale" means that the whole program concerns all Greek education system. A very important part of this nationwide project is the training of teachers program that involves practically all Greek teachers - so far more than 120,000 teachers have been involved and soon they will be involved all of them (approximately 150.000). In this paper we present a summary of this plan. The monitoring of this project at national level, almost from its very beginning, gave to us the opportunity of collecting a large volume of raw information and data of both quantitative and qualitative nature.


2021 ◽  
pp. 073563312098625
Author(s):  
Chunsheng Yang ◽  
Feng-Kuang Chiang ◽  
Qiangqiang Cheng ◽  
Jun Ji

Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student models for specific educational systems. However, systematically developing the data-driven student models from the educational data collected over prior educational experiences remains a challenge. We proposed a systematic and comprehensive machine learning-based modeling methodology to develop high-performance predictive student models from the historical educational data to address this issue. This methodology addresses the fundamental modeling issues, from data processing, to modeling, to model deployment. The said methodology can help developing student models for intelligent educational systems. After a detailed description of the proposed machine learning-based methodology, we introduce its application to an intelligent navigation tutoring system. Using the historical data collected in intelligent navigation tutoring systems, we conduct large-scale experiments to build the student models for training systems. The preliminary results proved that the proposed methodology is useful and feasible in developing the high-performance models for various intelligent education systems.


Catalysts ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 623
Author(s):  
Mengfan Shen ◽  
Ziwei Meng ◽  
Tong Xue ◽  
Hongfang Shen ◽  
Xiang-Hui Yan

To explore high-performing alternatives to platinum-based catalysts is highly desirable for lowering costs and thus promoting fuel cell commercialization. Herein, self-supported Fe-N-C materials were prepared by the pyrolysis of dual precursors including EDTA ferric sodium (EDTAFeNa) and melamine (MA), followed by acid-leaching and final annealing. Towards an oxygen reduction reaction (ORR) in 0.1 M KOH, the as-prepared MA/EDTAFeNa-HT2 delivered onset (Eonset) and half-wave (E1/2) potentials of 0.97 and 0.84 V vs. RHE, respectively, identical with that of a state-of-the-art Pt/C catalyst, accompanied with predominantly a four-electron pathway. The introduction of MA and extension of acid-leaching promoted a positive shift of 50 mV for E1/2 relative to that of only the EDTAFeNa-derived counterpart. It was revealed that the enhancement of ORR activity is attributed to a decrease in magnetic Fe species and increase in pyridinic/quanternary nitrogen content whilst nearly excluding effects of the graphitization degree, variety of crystalline iron species, and mesoscopic structure. The usage of dual precursors exhibited great potential for the large-scale production of inexpensive and efficient Fe-N-C materials.


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