Opendata, web and dolomites

DetEdIn SIGNED

Micro-, Meso-, and Macro-Level Determinants of Educational Inequalities: An Interdisciplinary Approach

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DetEdIn project word cloud

Explore the words cloud of the DetEdIn project. It provides you a very rough idea of what is the project "DetEdIn" about.

oecd    combinations    world    bcs70    mcs    outcomes    exists    employed    meso    little    shows    interdisciplinary    generate    degree    policies    of    despite    micro    timss    individual    talents    equal    meritocratic    basis    psychological    countries    self    shape    recognize    deserve    least    child    extend    guarantee    students    cohort    cross    tertiary    families    scientific    children    interactive    framework    instance    thirds    body    national    scientists    theory    standardized    modeling    social    inequality    play    right    determinants    policymakers    accordingly    parent    family    attains    variety    yds    surveys    analytic    inequalities    disparities    origin    background    contexts    date    governments    merit    opportunity    additive    opposed    shaping    longitudinal    education    discrimination    educational    personality    eradication    efficacy    data    motivation    curve    ascriptive    pisa    societal    macro    school    multilevel   

Project "DetEdIn" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 171˙792 €
 EC max contribution 171˙792 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-GF
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 171˙792.00
2    REGENTS OF UNIVERSITY OF MINNESOTA US (MINNEAPOLIS MN) partner 0.00

Map

 Project objective

Governments across the world recognize the right of the child to education on the basis of equal opportunity. Education shall allow children to develop their talents, abilities, and personality, and the principle of equal opportunity shall guarantee the eradication of any kind of discrimination. Accordingly, in a meritocratic system, educational outcomes should be directly related to individual merit. However, research shows that ascriptive (‘non-merit’) characteristics such as social origin also play a role in shaping educational outcomes. For instance, across OECD countries, no more than one out of five students from families with a low educational background attains a degree in tertiary education, as opposed to two thirds of students from families with at least one parent with tertiary education. These disparities are often considered as a measure of inequality of opportunity and therefore deserve attention from both scientists and policymakers. To date, despite an increasing body of knowledge on educational inequalities, only very little research exists on additive and interactive effects of micro-, meso-, and macro-level characteristics on educational inequalities. Against this background, the proposed research project shall use an interdisciplinary analytic framework to assess how micro-level psychological characteristics (e.g., self-efficacy and motivation), meso-level (family and school) characteristics, and macro-level characteristics (educational policies and wider societal contexts) affect social inequalities in education, and whether their distinct combinations shape inequalities. Data will be derived from standardized cross-national surveys (PISA, TIMSS) as well as from longitudinal cohort studies (e.g., BCS70, MCS, YDS). A variety of state-of-the-art research methods will be employed, including multilevel analysis and growth curve modeling, to generate scientific evidence and extend theory on major determinants of social disparities in education.

 Publications

year authors and title journal last update
List of publications.
2019 Samuel, Robin; Burger, Kaspar
Negative life events, self-efficacy, and social support: Risk and protective factors for school dropout intentions and dropout
published pages: , ISSN: 0022-0663, DOI: 10.1037/edu0000406
Journal of Educational Psychology 1 2019-10-29
2019 Kaspar Burger
The socio-spatial dimension of educational inequality: A comparative European analysis
published pages: 171-186, ISSN: 0191-491X, DOI: 10.1016/j.stueduc.2019.03.009
Studies in Educational Evaluation 62 2019-10-29

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DETEDIN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DETEDIN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

CREDit (2020)

Chronological REference Datasets and Sites (CREDit) towards improved accuracy and precision in luminescence-based chronologies

Read More