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Educational Longitudinal Data Structures Quiz (German)

1. Welche Informationen werden in einem Bildungsregister NICHT gespeichert?
2. Welche Forschungsfragen lassen sich mit einem Bildungsregister beantworten? (Mehrfachantworten möglich) 
3. Welche Daten werden typischerweise NICHT in ein Bildungsregister integriert?
4. Was zeichnet ein Bildungsregister aus? (Mehrfachantworten möglich) 

Using Registers for Research in Education Quiz

1. Why is register data a responsible choice for researching modern societies?
2. What is one notable scientific benefit of using full population registers in a country like Finland?
3. Which of these is a recognized limitation of register data compared to survey data?
4. What potential issue can arise with register data when considering the life histories of immigrants?
5. What happens to the accuracy of responses in long surveys, according to the principle of respondent fatigue?
6. Why are registers particularly useful for studying subgroups of the population?
7. What does memory bias refer to in survey-based research?

3.2 Educational Policy and Trade-offs Quiz

1. A government evaluates its education system using youth unemployment rates and average PISA scores. According to the webinar, what is the fundamental limitation of this approach?
2. Countries that have reformed their systems to postpone tracking have seen which of the following outcomes?
3. A minister is considering expanding the vocational education and training (VET) sector, citing strong school-to-work transition data. What risks does the webinar flag that this minister should also consider?
4. Cross-national data show that countries with higher vocational orientation indices have larger gaps in political participation between academically and vocationally educated young adults. What does this finding imply for policymakers?
5. A Dutch panel study tracked students from grade 7 to grade 10 in an early tracking system. What did it find regarding institutional trust?
6. The webinar presents evidence that strong school-to-work linkage, where graduates sort narrowly into specific occupations, is associated with higher monthly earnings. What does this tell a policymaker about occupational specificity?
7. The webinar concludes that policymakers who "press one policy button" need to be aware of what?

Three Functions of Education and Distributional Concerns Quiz

1. At what level does the concept of 'functions of education' primarily operate?
2. According to the webinar, what does the allocation function primarily concern?
3. The webinar describes two layers of the socialisation function. Which pair correctly captures these two layers?
4. What does the webinar say about the relationship between equality and efficiency in educational systems?
5. What does the text suggest policymakers have implicitly neglected by focusing on qualification and allocation?
6. A national government wants to evaluate the success of its education system. It focuses primarily on PISA scores and youth unemployment rates. According to the framework, what is the main limitation of this approach?
7. Country X has a highly stratified education system with early tracking into different school types. Labour market outcomes are excellent, but civic participation is low and unequally distributed across social classes. Based on the framework, what trade-off does this illustrate?

Educational Longitudinal Data Structures Quiz

1. What information is NOT stored in an education register?
2. What research questions can be answered with an education register? (Multiple answers possible)
3. What data is typically NOT integrated into an education register?
4. What distinguishes an education register? (Multiple answers possible)

Module 2 Quiz: Evidence-Informed Education 

Instructions: Use this quiz to test understanding of the core concepts covered in Module 2: Evidence-Informed Education. 

1. What is the approximate attainment gap in England that disadvantaged pupils face by the end of secondary school, which drives the urgent need for evidence-based strategic investment?
2. According to the Hierarchy of Evidence discussed in the module, what is the primary limitation of Correlational Studies?
3. In a Randomized Controlled Trial (RCT), what is the function of the "Counterfactual"?
4. Why is "Cluster Randomization" (e.g., randomizing whole schools) preferred over randomizing individual pupils within a single classroom in educational research?
5. Which of the following is NOT one of the three primary metrics displayed on the Education Endowment Foundation (EEF) Dashboard?

Post-Module Reflection Questions (Module 1)

1. Educational Inequalities and Their Causes
Which of the primary, secondary, or tertiary effects do you consider to be the most significant contributor to educational inequalities in your country? Are there regional differences? Explain your reasoning and provide examples where relevant.

2. Teacher Education and Inclusion
Does teacher education in your country include topics such as belonging and inclusion, equitable classroom management, special educational needs, migration and cultural diversity, learning from different cultures, or other areas that promote equality and social integration?

  • If not, why do you think these topics are absent or insufficiently addressed?
  • If yes, how has the inclusion of these topics evolved over time, and what impact have you observed on teaching practice and student outcomes?

3. Policies Addressing Educational Inequalities
What are the most important policies or initiatives aimed at reducing educational inequalities in your country? In your view, what impact have these measures had, and what challenges remain?

Longitudinal Educational Achievements: Reducing iNequalities (LEARN)
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Longitudinal Educational Achievements: Reducing iNequalities (LEARN)

A promising study is not a reliable predictor of success

Myth_Promising_Study_final_EN 1Download
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Funded by the European Union’s Horizon Europe Programme HORIZON-CL2-2023- TRANSFORMATIONS-01 Grant Agreement 101132531 and co-funded by UK Research and Innovation (UKRI) grant agreement numbers [10107302, 10092247]; and the Swiss State Secretariat for Education, Research and Innovation (SERI)

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, UK Research and Innovation, or SERI. Neither the European Union nor the granting authority can be held responsible for them.