scholarly journals From New Democratic Education to Socialist Education -New China's Change in Educational Policy in Early 1950s and Critique of Tao Xingzhi

2017 ◽  
Vol 45 (null) ◽  
pp. 429-451
Author(s):  
MoonSang Chung
Keyword(s):  
Educational Policy ◽  
Democratic Education ◽  
Tao Xingzhi

scholarly journals Democratic Education: A Theoretical Review (2006–2017)

2019 ◽  
Vol 89 (5) ◽  
pp. 655-696 ◽  
Author(s):  
Edda Sant
Keyword(s):  
Decision Making ◽  
Educational Policy ◽  
English Language ◽  
Democratic Education ◽  
Nodal Point ◽  
Educational Practice ◽  
Political Discourses ◽  
Neoliberal Policies ◽  
The Relationship ◽  
Educational Scholarship

This theoretical review examines how democratic education is conceptualized within educational scholarship. Three hundred and seventy-seven articles published in English language peer-reviewed journals between 2006 and 2017 are discursively analyzed. Democratic education functions as a privileged nodal point of different political discourses. Two discourses against (elitist and neoliberal) and six discourses pro democratic education (liberal, deliberative, multiculturalist, participatory, critical, and agonistic) construct its meaning. It is argued that the different versions of democratic education respond to various (a) ontological and epistemological assumptions, (b) normative approaches to democracy, and (c) conceptions of the relationship between education and politics. For educational policy, the review provides a critique of elitist and neoliberal policies and support for participatory decision making across discourses. Recommendations for educational practice are made by identifying pedagogies across democratic education scholarship as well as specific pedagogies for each discourse.

Educational Policy for the Large Cities

1976 ◽  
Vol 24 (2) ◽  
pp. 271-281
Author(s):  
Robert J. Havighurst
Keyword(s):  
Educational Policy ◽  
Large Cities

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

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