Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th Aug 2026, 21:29:14 EET
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Daily Overview |
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07 SES 10 C: Politics and Education: Inclusion, Participation and Social Boundaries
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07. Social Justice and Intercultural Education
Paper Inequalities in Deservingness Perceptions and Immigration Attitudes across Political Contexts in Europe: Implications for School Development TU Dortmund University, Germany Presenting Author:In an era of increasing political polarization across Europe, and with 122 million refugees worldwide (UNHCR, 2025) questions of social justice and solidarity have become central to public discourse and educational practice (Reeskens and Van der Meer, 2019). Immigration remains one of the most discussed issues in contemporary European societies, with immigrants consistently identified as among the most "undeserving" groups (Van Oorschot, 2006; Heuer & Zimmermann, 2020). This positioning raises fundamental questions of equity and inclusion that extend into educational settings where teachers and administrators make daily decisions affecting immigrant students and families. While groups like the elderly are widely viewed as deserving of support, immigrants face persistent stigmatization regardless of their contributions (Reeskens & Van der Meer, 2019). According to self-interest theory, individuals with vulnerable socioeconomic positions perceive immigrants as economic competitors and threats to welfare resources, leading to opposition to immigration (Green, 2007; Cooper & Burchardt, 2022). These perceptions influence policy implementation (Knotz et al., 2022), affect social integration (Ratzmann & Sahraoui, 2021), shape boundaries of "social membership" in welfare states (Kymlicka, 2015), and may manifest in educational inequalities through attitudes, assessments, and resource allocation. Political ideology adds complexity to understanding these attitudes and their educational manifestations. Political orientation significantly influences how citizens—including educators—conceptualize social justice, solidarity, and resource distribution (Wulfgramm & Starke, 2017). Right-wing contexts emphasize individual responsibility and conditional solidarity, often framing immigrants as burdens (Attewell, 2021). Left-wing environments promote redistribution and equality, yet support for immigrants' welfare rights remains discussed—the "progressive's dilemma" (Goodhart, 2004; Eger & Kulin, 2022). Understanding these dynamics is essential for developing migration-sensitive pedagogical approaches that challenge rather than reproduce inequalities. This study addresses the research questions of how perceptions of deservingness affect Europeans’ attitudes toward immigration and, in particular, whether this relationship, at the individual level, is conditional on the political orientation at the country level. Our findings reveal important patterns for social justice in diverse societies and schools. First, negative deservingness perceptions strongly predict negative immigration attitudes across Europe, suggesting moral judgments about welfare dependency extend to immigrants—including in schools. Second, country-level political orientation significantly moderates this relationship: the association between deservingness and immigration attitudes is stronger in left-leaning compared to right-leaning countries. This counterintuitive finding suggests that in progressive contexts where welfare support is generally higher (Wulfgramm & Starke, 2017), deservingness considerations play a particularly important role in determining solidarity boundaries. Patterns vary across European regions: left-leaning countries demonstrate moderate deservingness perceptions with relatively positive immigration attitudes, while right-leaning countries show consistently negative attitudes toward deservingness and immigration. In between are the centrist political countries with more positive deservingness perceptions and immigration attitudes. However, within left-leaning contexts, individual variations in deservingness perceptions have particularly strong effects, suggesting that conditional solidarity operates powerfully even in progressive environments—with direct implications for how schools address diversity and inclusion. These patterns reflect a collective factor: individual attitudes are formed within broader social, cultural, and political environments (Bratman, 1999; Anderson, 2006; Bicchieri, 2006). The political context of a country creates conditions that shape how deservingness perceptions translate into immigration attitudes, with significant implications for educational inclusion and equitable migration policies. This research contributes to Network 07's focus on social justice and intercultural education by illuminating mechanisms of marginalization and exclusion in contemporary Europe and translating insights into actionable implications for school development and educational practice. Methodology, Methods, Research Instruments or Sources Used Analytical Strategy: To answer our research question (how perceptions of deservingness affect Europeans’ attitudes toward immigration and, whether country-level political orientation moderates this relationship), we conducted multilevel linear regression using the Statistical Package for the Social Sciences (SPSS) 27 program, accounting for the nested data structure (individuals within countries), modeling both fixed individual-level effects (e.g., deservingness perceptions) and country-level effects (e.g., political orientation), as well as a cross-level interaction between individual deservingness perceptions and country-level political orientation in predicting immigration attitudes. Data Source and Sample: We used the data from Round 8 of the European Social Survey (2016). The European Social Survey employs strict random probability sampling, maintains a minimum 70% target response rate, and uses rigorous translation protocols. Data were collected via face-to-face interviews. Our sample includes 39,400 respondents from 21 countries: Austria, Belgium, Czechia, Estonia, Finland, France, Germany, Hungary, Ireland, Iceland, Italy, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland, Slovenia, and the United Kingdom. This diverse sample allows examination across varied welfare regimes, immigration histories, and political contexts influencing educational policy. Dependent Variable: Immigration attitudes were measured through three items assessing immigrants' impacts on (1) economy, (2) cultural life, and (3) overall quality of life. Responses on 0-10 scales were recoded so higher values indicate more negative attitudes. Items were combined into a scale (Cronbach's α = 0.873). Main Independent Variable: Deservingness perceptions were operationalized through four items: (1) social benefits make people lazy, (2) benefits reduce caring, (3) unemployed don't seek work, and (4) people obtain benefits to which they are not entitled. Responses on 1-5 scales were recoded so higher values reflect more negative perceptions (Cronbach's α = 0.743). These perceptions are relevant not only as general social attitudes but also as potential influences on educators' professional judgments. Country-Level Moderator: Political orientation was measured at individual and country levels. Respondents positioned themselves on a 0 (left) to 10 (right) scale. For multilevel modeling, we calculated country means and centered individual values around country means following established procedures (Heck et al., 2014). This distinguishes between individual orientations and broader political context. Control Variables: Following previous research (Eger & Breznau, 2017), we included individual-level controls: gender, age, citizenship, nativity (respondent and mother), education years, household income satisfaction, and employment. Conclusions, Expected Outcomes or Findings This study demonstrates that immigration attitudes are shaped by individual and contextual factors, with profound implications for social justice and educational equity. Deservingness perceptions predict negative attitudes toward immigrants (Van Oorschot, 2006), potentially manifesting in educational settings through expectations, interactions, and institutional practices. In left-leaning contexts, deservingness perceptions have particularly powerful effects on immigration attitudes, suggesting that even in progressive environments, conditional solidarity limits genuine inclusion (Eger & Kulin, 2022). This has direct implications for schools operating in different political contexts. Central Implications for School Development and Educational Research Addressing Inclusion Barriers in School Development: Negative deservingness perceptions within the broader school community—including parents, peers, and society—can contribute to educational inequality. Students with migration background may face disadvantages through lower expectations, biased interactions, social exclusion, or unequal resource access. School development initiatives should address how these societal attitudes influence educational spaces and create barriers to inclusion, recognizing that schools operate within broader communities where deservingness narratives circulate (Knotz et al., 2022). Promoting Migration-Sensitive School Cultures: Schools should develop comprehensive strategies to counter prejudice and create inclusive environments. This includes fostering intercultural competence across the entire school community, implementing programs that promote solidarity, and creating spaces for critical dialogue about migration and belonging (Banks & Banks, 2019). Institutional measures—diversifying representation, revising curricula to authentically reflect migration experiences, building partnerships with immigrant communities, and implementing anti-discrimination policies (Gay, 2018)—are essential for transforming school cultures beyond individual attitudes. Future Research Directions: Research needs to examine in how far deservingness perceptions influence educational processes and academic outcomes. Research also should consider how political contexts moderate the influence of societal deservingness perceptions on educational environments (Alonso & Fonseca, 2012; Attewell, 2021). References Alonso, S., & Fonseca, S. C. D. (2012). Immigration, left and right. Party Politics, 18(1), 1–20. Anderson, E. (2006). The epistemology of democracy. Episteme 3(1–2), 8–22. Attewell, D. (2021). Deservingness perceptions, welfare state support and vote choice in Western Europe. West European Politics, 44(3), 611–634. Banks, J. A., & Banks, C. A. M. (Eds.). (2019). Multicultural education: Issues and perspectives (10th ed.). Wiley. Bicchieri, C. (2006). The Grammar of Society: The Nature and Dynamics of Social Norms. Cambridge University Press. Bratman, M. (1999). Faces of Intention: Selected Essays on Intention and Agency. Cambridge University Press. Cooper K., & Burchardt T. (2022). How divided is the attitudinal context for policymaking? Changes in public attitudes to the welfare state, inequality and immigration over two decades in Britain. Social Policy & Administration 56(1), 1–18. https://doi. org/10.1111/spol.12739 Eger, M. A., & Breznau, N. (2017). Immigration and the welfare state: A cross-regional analysis of European welfare attitudes. International Journal of Comparative Sociology, 58(5), 440–463. Eger, M. A., & Kulin, J. (2022). The politicization of immigration and welfare. In M. M. L. Crepaz (Ed.), Handbook on Migration and Welfare (pp. 230–254). Edward Elgar. Gay, G. (2018). Culturally responsive teaching (3rd ed.). Teachers College Press. Green EGT (2007). Guarding the gates of Europe: A typological analysis of immigration attitudes across 21 countries. International Journal of Psychology 42(6), 365–379. https://doi.org/10.1080/00207590600852454 Heck, R. H., Thomas, S. L., & Tabata, L. N. (2014). Multilevel and longitudinal modeling with IBM SPSS (2nd ed.). Routledge. Heuer, J.-O., & Zimmermann, K. (2020). Unravelling deservingness. Journal of European Social Policy, 30(4), 389–403. Knotz, C. M., Gandenberger, M. K., Fossati, F., & Bonoli, G. (2022). A recast framework for welfare deservingness perceptions. Social Indicators Research, 159(3), 927–943. Kymlicka, W. (2015). Solidarity in diverse societies. Comparative Migration Studies, 3(17), 1–19. Reeskens, T., & Van der Meer, T. (2019). The inevitable deservingness gap. Journal of European Social Policy, 29(2), 166–181. Ratzmann, N., & Sahraoui, N. (2021). Conceptualising the role of deservingness in migrants' access to social services. Social Policy and Society, 20(3), 440–451. UNHCR. (2025, 12. Juni). Global trends. United Nations High Commissioner for Refugees. https://www.unhcr.org/global-trends Van Oorschot, W. (2006). Making the difference in social Europe. Journal of European Social Policy, 16(1), 23–42. Wulfgramm, M., & Starke, P. (2017). Divided by the market, divided by the state. Scandinavian Political Studies, 40(1), 1–27. 07. Social Justice and Intercultural Education
Paper Title Case PARTICIPATION OR PERFORMANCE? HACKATHONS, EDTECH, AND THE POLITICS OF INCLUSION University of Oxford, United Kingdom Presenting Author:Hackathons have been widely promoted as participatory design spaces fostering innovation, creativity, and collaborative problem-solving across diverse domains, including education. Originally rooted in grassroots, countercultural programming communities, hackathons have since undergone significant professionalisation, increasingly embedded within corporate and governmental frameworks. This paper examines hackathons as instruments of neoliberal governance, questioning their purported inclusivity and democratising potential. Drawing on two case studies – the hackathon organised by the Department for Education (DfE) in 2023 and OakHack, organised by Oak National Academy in 2023, the analysis reveals how hackathons often serve as performative exercises that prioritise technical feasibility, corporate interests, and public relations over genuine participatory engagement and educational transformation. The historical trajectory of hackathons reflects their evolution from informal, community-driven gatherings to highly stylised events aligned with market-oriented objectives. This transformation illustrates the co-optation of grassroots innovation within neoliberal economic structures, where hackathons function as cost-effective mechanisms for extracting creative labour without long-term commitments. Both case studies exemplify how these dynamics unfold. Although framed as a teacher-centric initiative aimed at fostering educator involvement in EdTech innovation, the DfE hackathon was predominantly led by non-educational experts from the FacultyAI (the data analytics company that conducted the data modeling which contributed to Brexit) rather than by the National Institute of Teaching, a secondary co-organiser. The budget allocation and organisational priorities further underscored the marginalisation of educational concerns, privileging technical development over pedagogical relevance. Similarly, the majority of hackathon participants at OakHack were EdTech startups. The analysis identifies several themes. First, the hackathons’ discourse maintained an overwhelmingly positive tone, systematically downplaying negative findings and technical shortcomings. Despite the fact that many use cases failed to meet expectations, the narrative emphasised superficial successes, reflecting a broader tendency toward optimism bias inherent in EdTech discourse. Second, the events were marked by a strong techno-deterministic orientation, with AI positioned as an inevitable and beneficial force in education. Rather than critically engaging with educators' concerns – such as the reliability of AI systems – issues like algorithmic hallucination were reframed as trust deficits to be managed rather than substantive risks to be addressed. This approach translated complex educational and social challenges into narrowly defined technical problems, sidelining critical pedagogical questions in favour of technical efficiency and scalability. Third, while the DfE and Oak National Academy promoted an image of inclusivity, the events exhibited characteristics of “participation washing.” Teacher and student involvement was largely limited to roles resembling focus groups or product testers rather than genuine co-design partners. Efforts to foster diversity were superficial, with little clarity on what constituted meaningful diversity beyond assembling participants from different backgrounds. Moreover, the short duration of the hackathon, often celebrated as a catalyst for innovation, constrained the depth of engagement, reinforcing hierarchical power dynamics between EdTech developers and educational practitioners. This study illustrates how hackathons function less as genuine participatory design spaces and more as performative showcases that align with neoliberal governance logics. Their primary utility often lies in symbolic displays of innovation and inclusivity, serving public relations objectives rather than fostering substantive educational change. This paper interrogates the extent to which government-led hackathons achieve their stated goals of democratising technology development in education. By examining the power dynamics, institutional interests, and techno-solutionist assumptions embedded in hackathon practices, the paper questions whether such formats genuinely promote inclusive participation or merely reproduce existing inequalities under the guise of innovation. Methodology, Methods, Research Instruments or Sources Used Qualitative text analysis Conclusions, Expected Outcomes or Findings This article contributes to scholarship on participatory design in digital education by examining how participatory ideals are operationalised within government-led innovation formats. Drawing on the case of the DfE’s 2023 AI hackathon, the study shows that participation needs to be understood as a political practice shaped by institutional logics and power relations. The findings speak directly to long-standing critiques in participatory design literature that warn against forms of managed participation that solicit user input without redistributing decision-making authority. The analysis underscores that participation becomes meaningful only when it enables those most affected by digitalisation to influence problem framings, question technological inevitabilities, and articulate alternative educational values. When participation is constrained to improving uptake of technologies, it risks reproducing the very asymmetries it claims to address. The study highlights how teacher scepticism and ethical concerns can be recast as cultural or skills deficits rather than recognised as legitimate critiques rooted in professional judgment and care for educational relationships. Such reframing aligns with broader patterns in data-driven reform, where responsibility for adaptation is displaced onto educators while structural and technological limitations remain unexamined. From a social justice perspective, this shift is consequential: it narrows the space for democratic deliberation and sidelines questions about whose knowledge counts in shaping educational futures. By situating hackathons within these debates, the paper argues that participatory design in digital education must move beyond symbolic inclusion toward practices that actively challenge solutionism, foreground relational and pedagogical values, and treat contestation as a productive dimension of participation. Without such commitments, participatory innovation risks reinforcing existing power hierarchies rather than advancing more just and inclusive forms of educational digitalisation. References Briscoe, Gerard, and Catherine Mulligan. 2014. ‘Digital Innovation: The Hackathon Phenomenon’. https://api.semanticscholar.org/CorpusID:31734217. Costanza-Chock, Sasha. 2020. Design Justice: Community-Led Practices to Build the Worlds We Need. The MIT Press. https://doi.org/10.7551/mitpress/12255.001.0001. Davies, Emily. 2023. Unlocking the Future of Education: Key Insights from the AI in Education Hackathon. November 14. https://faculty.ai/blog/key-insights-from-the-ai-in-education-hackathon/. Defence Science and Technology Laboratory. 2023. Dstl and Google Cloud Hackathon: New Era of Defence AI Innovation. November 20. https://www.gov.uk/government/news/dstl-and-google-cloud-hackathon-new-era-of-defence-ai-innovation. Department for Education. 2024. Use Cases for Generative AI in Education User Research Report. https://assets.publishing.service.gov.uk/media/66cdb078f04c14b05511b322/Use_cases_for_generative_AI_in_education_user_research_report.pdf. Department for Energy Security & Net Zero. 2024. Nuclear Hackathon Pre-Reading Material. https://www.gov.uk/government/consultations/alternative-routes-to-market-for-new-nuclear-projects/nuclear-hackathon-pre-reading-material. Department for Science, Innovation & Technology. 2025. AI Opportunities Action Plan. https://www.gov.uk/government/publications/ai-opportunities-action-plan/ai-opportunities-action-plan. Department for Science, Innovation and Technology, and Department for Education. 2024. Teachers to Get More Trustworthy AI Tech, Helping Them Mark Homework and Save Time. August 28. https://www.gov.uk/government/news/teachers-to-get-more-trustworthy-ai-tech-as-generative-tools-learn-from-new-bank-of-lesson-plans-and-curriculums-helping-them-mark-homework-and-save. DiSalvo, Carl, Melissa Gregg, and Thomas Lodato. 2014. ‘Building Belonging’. Interactions 21 (4): 58–61. https://doi.org/10.1145/2628685. First Ever Hackathon in Education to Explore AI. 2023. Department for Education. https://www.gov.uk/government/news/first-ever-hackathon-in-education-to-explore-ai. Lodato, Thomas James, and Carl DiSalvo. 2016. ‘Issue-Oriented Hackathons as Material Participation’. New Media & Society 18 (4): 539–57. https://doi.org/10.1177/1461444816629467. Manancourt, Vincent, and Laurie Clarke. 2024. ‘How Dominic Cummings’ Favorite AI Firm Captured the British Government’. Politico, May 16. https://www.politico.eu/article/dominic-cummings-faculty-ai-safety-british-government-procurement-contracts/. Modernisation and Reform Unit. Cabinet Office. 2023. ‘A Modern Civil Service’. Delivering Government Innovation with Evidence House, July 19. https://moderncivilservice.blog.gov.uk/2023/07/19/delivering-government-innovation-with-evidence-house/. Rankin, Robert. 2025. AI’s Role in Education: Key Takeaways from Our January Hackathon. February 27. https://faculty.ai/insights/articles/key-takeaways-from-our-january-hackathon. Roberts, John. 2024. You’re Invited to Our Hackathon. September 5. https://www.thenational.academy/blog/you-re-invited-to-our-hackathon. Zukin, Sharon, and Max Papadantonakis. 2017. ‘Hackathons as Co-Optation Ritual: Socializing Workers and Institutionalizing Innovation in the “New” Economy’. In Precarious Work, edited by Arne L. Kalleberg and Steven P. Vallas, vol. 31. Research in the Sociology of Work. Emerald Publishing Limited. https://doi.org/10.1108/S0277-283320170000031005. | ||
