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Please note that all times are shown in the time zone of the conference. The current conference time is: 10th May 2025, 09:36:45 EEST

 
 
Session Overview
Session
15 SES 16 A: Research on partnerships in education
Time:
Friday, 30/Aug/2024:
11:30 - 13:00

Session Chair: Karen Laing
Location: Room 105 in ΧΩΔ 01 (Common Teaching Facilities [CTF01]) [Floor 1]

Cap: 36

Paper Session

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Presentations
15. Research Partnerships in Education
Paper

Exploring the effect of Living Lab School Initiatives on Students' Intrinsic Motivation, Self-Efficacy, and Civic Participation

Marilena Savva, Marios Papaevripidou, Zacharias Zacharia, Yvoni Pavlou, Georgia Kouti

University of Cyprus, Cyprus

Presenting Author: Savva, Marilena; Papaevripidou, Marios

This proposal is focused on open schooling initiatives and the implementation of the Living Lab (LL) methodology in the context of Science Education. It aims to encourage schools to collaborate with stakeholders in order to foster community well-being. This study focuses on analysing the projects undertaken by students when engaged in open schooling activities following principles of Living Lab methodology, by investigating how the type of prototype and stakeholder support influence students' degree of development in terms of their intrinsic motivation, self-efficacy, and civic engagement to participate in innovation communities. This investigation involved the participation of six nations, namely Croatia, Cyprus, France, Greece, Portugal, and Spain, each representing different educational systems. A total of 465 primary and secondary students took part in 20 projects that progressed to the Experimentation and Evaluation stages of the LL methodology. Students completed a questionnaire both before and after they carried out their projects. The data analysis revealed the three types of prototypes that students engaged in, namely (a) digital prototypes, (b) physical prototypes, and (c) services with real people. Analyses demonstrated significant impact of digital prototypes on students’ intrinsic motivation, self-efficacy, and civic engagement and the services involving real people had a notable impact on students' civic engagement. However, physical prototypes had no effect on the intrinsic motivation, self-efficacy, or civic engagement of students. The findings suggest that the development of digital prototypes within a LL project has the potential to make teaching and learning more engaging and motivating for students, improve their self-efficacy, and enhance their participation and involvement in civic-related issues by increasing students' engagement in identifying and resolving issues of public concern. Background: A Living Lab (LL) is a virtual or physical environment in which multiple stakeholders interact to address real-world issues and co-create solutions for societal concerns in the form of technologies, services, and products (Leminen & Westerlund, 2016). Open Schooling (OS) envisions that schools, in cooperation with other stakeholders, will become agents of community well-being by creating new partnerships in their local communities (Sotiriou et al, 2021). Such an approach incorporates a diverse group of participants and brings together schools, researchers, and community stakeholders to create a user-centered ecosystem for open innovation (Alonso & Wong, 2020).

Despite the growing research interest of OS and LLs over the past several years, there are still many undiscovered aspects, especially when students from diverse cultural backgrounds co-operate with stakeholders coming from various organisations and professions in creating prototypes or implementing solutions to address real-world problems. Motivated students, willing to participate in OS research and co-creation activities, are essential for the functioning of a LL, given that the underlying philosophy is that participants’ ideas, experiences, and knowledge, as well as their everyday needs and wants, should be the starting point in innovation (Bergvall-Kareborn & Stahlbrost, 2009).

The first phase of a LL project consists of brainstorming and identifying a community issue requiring attention, followed by the design and creation of a prototype (i.e., Exploration phase), experimentation and testing of their prototype (i.e., Experimentation phase), and evaluation of the product or service (i.e., Evaluation phase). Participants are thereby actively involved as “co-creators” of the product or service; they are involved from the earliest stages of the innovation process, and their experiences and preferences are incorporated into the design of the product or service (Dekker et al., 2020). However, effective co-creation depends on the selection and use of appropriate methodologies and procedures, since they may have a substantial impact on project outcomes (Steen et al., 2011).


Methodology, Methods, Research Instruments or Sources Used
Research Aims: We aimed to expand our knowledge on whether the type of prototype that students design and construct in the context of a LL project they engage with may be linked to their intrinsic motivation (inherent satisfaction in learning science for its own sake), self-efficacy (confidence in ability to succeed in science), and civic engagement (individual and collective actions designed to identify and address issues of public concern). Consequently, the following research questions were addressed: (1) What types of prototypes students’ develop when engaged in a LL project?, and (2) Which type of prototype is more likely to increase students' (i) intrinsic motivation, (ii) self-efficacy, and (iii) civic engagement?

Methodology or Methods/ Research Instruments or Sources Used:
Participants: Participants in this research were 465 students (224 males and 215 females, 26 N/A) aged 9–18 years (mean age in years: 12.62), from 20 schools in six countries (Croatia, Cyprus, France, Greece, Portugal, and Spain). During designing and implementing their LL project, students had the opportunity to create different types of prototypes to evaluate the applicability of their suggested solutions, identify their advantages and drawbacks and refine them accordingly.

Tools and data collection
Students’ Questionnaire: A 5-point Likert-scale questionnaire (adapted from Glynn et al., 2011) was administered to students before the school LL project and after completing the project. The questionnaire included 18 items pertaining to students' intrinsic motivation (IM), self-efficacy (SE), and civic engagement (CE). The calculation of Cronbach’s alpha revealed the value of .89, indicating that scale’s reliability was satisfactory.

LL Project Reports: The types of prototypes participants created and tested were extracted from LL project reports that each school submitted after completing the LL project.

Data analysis: Open coding analysis was used to identify the types of prototypes developed by students during the LL project. To identify the effects of prototype type on students’ intrinsic motivation, self-efficacy and civic engagement, paired-sample t-tests were conducted to compare students’ IM, SE, and CE.

The three types of prototypes that were identified from the analysis of students’ LL projects refer to: (a) digital prototypes that pertained to the development of computer applications, websites, videos digital stories; (b) physical prototypes such as posters, flyers, food products, packages, etc.; and (c) services with real people which encompassed campaigns, petitions, workshops, provision of support for people in need.

Conclusions, Expected Outcomes or Findings
Findings showed that the type of prototype students engage in affects in different ways their IM, SE, and CE. Specifically, digital prototypes appeared to facilitate students’ IM, SE, and CE in a significant way (p<.001). For the service with real people prototype, only students’ CE revealed statistically significant results (p<.05), whereas physical prototypes (p>.05) did not support students’ development in any direction. This outcome may be explained by the fact that the increasing usage of digital technology over the past several years, notably after the advent of the COVID-19 pandemic, has necessitated significant changes in educational institutions throughout the world. During this period, digital technology became an integral part of students' daily lives and had virtually replaced nearly every face-to-face activity (Papouli et al., 2020), thereby transforming the way students engage in activities and inherently influencing all facets of the student experience. The findings of this study suggest that the development of digital prototypes within a LL project has the potential to make teaching and learning more engaging and motivating for students, improve their self-efficacy, and enhance their participation and involvement in civic-related issues by increasing students' engagement in identifying and resolving issues of public concern. The findings have practical ramifications, since they can help researchers and educators in selecting the type of prototype for their students to engage with, when taking part in a LL school project, that could potentially foster their IM, SE, and CE.  However, there is a need for a deeper understanding of the types and nature of prototypes developed by students, as well as how and why this process impacts on or is related to the development of their science attitudes and civic involvement. The results provide empirical backing for collaborative interactions between stakeholders involved in curriculum development and policymakers within the educational domain.
References
Alonso Curbelo, A., & Wong, M. (2020). Social Living Lab Methodology.
Bergvall, B., & Stahlbrost, A. (2009). Living Lab: an open and citizen-centric approach for innovation. International journal of innovation and regional development, 1(4), 356-370.
Dekker, R., Franco Contreras, J., & Meijer, A. (2020). The living lab as a methodology for public administration research. International Journal of Public Administration, 43(14), 1207-1217.
Glynn, S.M., Brickman, P., Armstrong, N., & Taasoobzi,G.(2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of research in science teaching, 48(10),1159-1176.
Leminen, S., & Westerlund, M. (2016). A framework for understanding the different research avenues of living labs. International Journal of Technology Marketing, 11(4), 399-420.
Papouli, E., Chatzifotiou, S., & Tsairidis, C. (2020). The use of digital technology at home during the COVID-19 outbreak: Views of social work students in Greece. Social Work Education, 39(8), 1107-1115.
Sotiriou M, Sotiriou S and Bogner FX (2021) Developing a Self-Reflection Tool to Assess Schools’ Openness. Front. Educ. 6:714227.
Steen, M., Manschot, M., & De Koning, N. (2011). Benefits of co-design in service design projects. International Journal of Design, 5(2).


15. Research Partnerships in Education
Paper

Exploring the Enabling Conditions for Successful District-University-School Partnerships in School Improvement: A Case Study from China

Juyan Ye1, Yan Bi2

1Beijing Normal University, China; 2Tiangong University, China

Presenting Author: Ye, Juyan; Bi, Yan

The past decade has indeed witnessed ambitious attempts to reform education systems and drive change on a large scale (Fullan, 2009; Qian and Walker, 2020). In response to this trend, an increasing number of district educational departments are orchestrating partnerships between universities and schools to enhance teacher learning and elevate the quality of education. Previous studies have pinpointed the elements that contribute to a beneficial university-school partnership in improving schools (Calabrese & Tan, 2018; Fisher & Firestone, 2006; Peters, 2002; Farrell et al., 2022). These studies often focus on university academics collaborating with teachers in a specific discipline or research group to support teacher learning. However, questions remain about the practical realities and challenges schools encounter when they actively engage in and strive to involve more teachers in such top-down collaborations. How can schools be more effectively motivated to lead the reform process through institutional design? These issues are significant and warrant further investigation.

This study is grounded in a three-year District-University-School (DUS) collaboration project aimed at improving six selected underperforming schools. In this initiative, the District identified six schools with developmental potential within its jurisdiction and commissioned University B to design and implement the improvement project. Guided by research literature and ongoing dialogues between the district and university departments, the project's goal was to enhance middle-level leadership in schools to foster teacher learning and professional development, thereby contributing to overall school improvement. The university team comprised seven researchers and fourteen research assistants. Six researchers were paired to oversee the enhancement work of the project, with a senior professor providing overall planning and guidance. Each school was assigned two research assistants. During the study, the two authors collaborated on two school improvement projects using an identical approach. However, the two schools showed different levels of participation. One school ultimately led the entire school's teachers to actively participate in the school improvement, while the other school always only had the same individual teacher involved in this project. Therefore, we sought to answer the following questions: (1) What conditions can facilitate successful DUS collaboration? (2) Do the conditions for successful collaboration among DUS stakeholders differ from those in US partnerships?

Several key factors have been identified as crucial for successful university-school partnerships. Firstly, shared goals, common planning, mutual respect have been highlighted as essential elements of school-university partnerships (Borthwick et al., 2003). Additionally, the professional and personal learning elements, the degree of congruence between the perspectives of school-based mentors and teacher educators has been emphasized as a factor supporting effective partnership working (Kershner et al., 2013; Marsh, 2019). The importance of fostering research engagement in partnership schools through networking and value creation that foster equality in partnerships has also been highlighted as a means to promote effective university-school partnerships (Shinners, 2006; Maskit & Orland-Barak, 2015; Cornelissen et al., 2017). But currently, few studies have revealed what are the effective conditions for partnerships between schools and universities initiated from a regional top-down perspective. This article argues that in top-down District-University-School partnerships, the District, as a representative of the district government, can utilize its administrative authority and resources to facilitate collaboration between universities and schools for school improvement. However, this top-down approach may also undermine the school's confidence in the university, leading to tepid participation in the collaborative effort. In the DUS partnership context, successful cooperation is predicated on the university members' accurate assessment of the school's needs and strategic planning for teacher and school development.


Methodology, Methods, Research Instruments or Sources Used
Data Collection
Since the project emphasizes research-informed practices, we have collected almost all the process data of the project's three-year progress. Due to the Covid-19, over the course of nearly a year, extensive communication occurred among the three parties with meetings frequently held in the District's meeting room. All the meetings had been recorded and transcribed. Subsequent to these meetings, the authors collected narrative texts from ten middle-level administrators across the two schools, who were invited to articulate their perspectives on the school culture and their personal visions and missions. Utilizing this data, the university members organized workshops to facilitate discussions with school staff about their visions for school improvement. The workshops had also been recorded and transcribed. Following the workshops, further interviews with the principals of each school were conducted. These activities enabled the authors to gain a deeper understanding of each school's needs and to pinpoint the key areas requiring enhancement.

Between April 2021 and January 2023, the authors visited the schools bi-monthly and orchestrated a variety of activities to aid teachers in conducting action research. For instance, School S elected to focus on "Promoting students' holistic development in subject-based teaching," creating a cohort of 'seed teachers' that included both seasoned educators and motivated newcomers. The authors worked closely with these teachers to deepen their understanding of holistic development in subject-based learning and to collaboratively design lesson plans. During this period, 16 instructional videos were recorded, and data from interviews with 13 actively participating teachers were collected.

School H, with its diverse student population, concentrated on the action research project "Promoting cultural integration in subject-based teaching." Although the authors participated in classroom observations and assisted teachers in refining their research proposals, their direct influence on instructional practices was limited. The materials collected included eight reflective journals from the school members dating back to the initial workshop, sixteen research proposals drafted by teachers, and insights from interviews with school members.

Data analysis
Thematic analysis, combining inductive and deductive logic (Braun & Clarke, 2006), was guided by Clarke and Hollingsworth's model (2002). Emergent information was expected from the data. Following Braun and Clarke's approach, initial codes and relevant themes were created, exemplified with quotes. Code validity was ensured through researcher triangulation. Codes were then grouped into themes, such as school leadership, district leadership and teacher educators’ factors.

Conclusions, Expected Outcomes or Findings
The paper contributes to global discussions on enhancing understanding of diverse practices and effective strategies in systematic school improvement across various cultural and educational contexts.

(1) The principal's judgment determines whether the school genuinely wishes to take part in a DUS partnership program. The principal of School S took full advantage of the District's opportunity for improvement and made full use of the University's assistance to put his own educational philosophy into practice. However, it appears that the principal of School H’s perception of the project was limited to a research project and only needing to produce a research report. This enables us to consider if administrative habitus has an impact on this further. Although located in District D, this school is directly under the control of the city's Municipal Commission of Education, and its principal has the same rank as the district's education commissioner. This makes us consider D's dual role in the DUS partnership further.

(2) In China, the District can leverage its administrative authority and resources to help universities and schools work together to improve schools. However, this top-down strategy can also cause the school to lose faith in the university. On the other hand, administrative logic will be incorporated into and even override academic logic in DUS partnerships that are established by District.

(3) The foundation of trust is established when the school is willing to collaborate with the university. This is achieved through the precise diagnosis of the school's needs by university members. If the school does not cooperate at all, the university academics' attempts to improve the school will be like trying to cook without rice. This study explores the significant role played by the District in promoting school engagement and, based on this, proposes that the timing of different stakeholders' involvement is crucial.

References
Borthwick, A., Stirling, T., Nauman, A., & Cook, D. (2003). Achieving Successful School-University Collaboration. Urban Education, 38(3), 330-371.
Braun, V., & Clarke, V. (2006). Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 3, 77-101.
Clarke, D., & Hollingsworth, H. (2002). Elaborating a Model of Teacher Professional Growth. Teaching and Teacher Education, 18, 947–967.
Chen,X.M., & An,C.(2022). How did Teachers Learn in Boundary Crossing Lesson Study in a Chinese Secondary School? Asia Pacific Journal of Education, 42(1),13-27.
Cornelissen, F., McLellan, R., & Schofield, J. (2017). Fostering Research Engagement in Partnership Schools: Networking and Value Creation. Oxford Review of Education, 43(6), 695-717.
Farrell,C.C., Penuel,W. R., Allen,A., Anderson,E.R., Bohannon,A.X., Coburn,C.E.&Brown,S. L.(2022).Learning at the Boundaries of Research and Practice: A Framework for Understanding Research-Practice Partnerships. Educational Researcher, 51 (3),197-208.
Fullan M (2009). Large-scale Reform Comes of Age. Journal of Educational Change, 10: 101–113.
Fisher,J.,&Firestone,W.(2006).Teacher Learning in a School-University Partnership: Exploring the Role of Social Trust and Teaching Efficacy Beliefs. The teacher college record,108(6),1155-1185.
Henrick,E.C.,Cobb,P.,Penuel,W.R.,Jackson,K.&Clark,T.(2017).Assessing Research-Practice Partnerships: Five Dimensions of Effectiveness. William T.Grant Foundation.
Kamler,E.,Szpara,M.,Dornisch,M.,Goubeaud,K.,Levine,G.,&Brechtel,S.(2009).Realities of a School-University Partnership: Focus on Leadership. Journal of school leadership,19(1),81-117.
Kershner, R., Pedder, D., & Doddington, C. (2013). Professional Learning during a Schools-University Partnership Master of Education Course: Teachers’ Perspectives of their Learning Experiences. Teachers and Teaching, 19(1), 33-49.
Marsh, B. (2019). Developing a Project within a School-University Partnership: Factors that Influence Effective Partnership Working. Research Papers in Education, 36(2), 233-256.
Maskit, D. and Orland-Barak, L. (2015). University-School Partnerships: Student Teachers’ Evaluations across Nine Partnerships in Israel. Journal of Education for Teaching International Research and Pedagogy, 41(3), 285-306.
Miller, A., Reyes, J., Wyttenbach, M., & Ezeugwu, G. (2022). The limits of the “system of schools” approach: superintendent perspectives on change efforts in U.S. catholic school systems. Journal of Educational Change, 24(4), 943-970.
Peters,J.(2002).University-School Collaboration: Identifying Faulty Assumption. Asia-Pacific Journal of Teacher Education,30(3),229-242.
Qian H.Y. and Walker A. (2020). System Reform in China: Mobilising and Sharing Resources across Schools. In: Harris A and Jones MS (eds) Leading and Transforming Education Systems: Evidence, Insights, Critiques and Reflections. Singapore: Springer, 33–46.
Shinners, K. (2006). Follow the Leader. International Journal of Educational Management, 20(3), 206-214.


15. Research Partnerships in Education
Paper

Partnership to Tackle the Effects of Socio-economic Inequality on Children’s Experiences of School

Karen Laing, Ulrike Thomas, Lucy Tiplady, Liz Todd

Newcastle University, United Kingdom

Presenting Author: Laing, Karen

Education is a key driver of resilience against the backdrop of increasing uncertainty provoked by economic inequalities and enduring forms of social injustice. Education can offer hope, and a means to a prosperous future. Yet for many children living in poverty, school is a site in which economic inequalities are reproduced and children experience further exclusion and stigma as a result. Some 22.4% of European households with dependent children were at risk of poverty or social exclusion in 2022 (Eurostat 2023). In the UK, 29% of children (nine in every class of 30) are living in poverty (CPAG, 2023). Poverty has been exacerbated by multiple crises including the Covid-19 pandemic, creating inequalities in educational attainment and uncertain futures for families (JRF, 2023).

The Cost of the School Day project (CoSD), developed by two charities, the Child Poverty Action Group (CPAG) and Children North East (CNE), aimed to understand the barriers and challenges faced by poor children during the school day and to use this evidence to help schools reduce costs and remove stigmatising practices to bring about a fair education for children living in poverty. The CoSD team developed partnerships with schools, local and national governments, and a range of organisations, bodies and charities in order to shape policy and practice. 

Starting with the assumption that all activity is ‘social/collective’ (Daniels, 2004, p.123) and governed by rules and divisions of labour (Engeström and Sannino, 2010, p. 6); this paper will analyse how the partnerships within the CoSD project worked (affordances and ‘contradictions’) and examine the relational aspects in engaging across the partnership (Rickinson and Edwards, 2021) and how this ultimately led to change, improving the lives of children, young people and their families and enabling them to thrive and succeed.

The Cost of the School Day project (CoSD) is led by Child Poverty Action Group (CPAG), a UK based charity that campaigns to end child poverty in the UK. Most education in the UK is free of charge, but there are costs incurred in respect of meals, uniforms, travel and resources that can negatively impact upon the experience of education for children and young people. The project is based on Children North East’s ‘Poverty Proofing’ model, which has been shown to be effective in surfacing stigmatising practices which negatively impact children living in poverty and achieving change in schools (Mazzoli Smith & Todd, 2016; Mazzoli Smith & Todd, 2019).

The CoSD team developed partnerships with schools, local and national governments, and a range of organisations, bodies and charities in order to shape policy and practice. For the purpose of this paper, we will be focussing on the partnership between the schools taking part and the Child Poverty Action Group. Cultural Historical Activity Theory (Engestrom) and the later work of Rickinson and Edwards on relational agency and the ‘relational features of evidence use’ (2021) were chosen as the theoretical approaches enabling us to understand the affordances that led to success as well as the challenges faced.


Methodology, Methods, Research Instruments or Sources Used
The project team worked intensively with schools across three countries: England, Scotland and Wales. Within those countries, five geographical areas were chosen based on a range of criteria including: the local incidence of high child poverty; the potential for influence on local government; the spread of schools in geographically different locations (e.g. urban and rural); and in some cases, areas where some strategic partnerships were already in place. 55 schools took part. And the research team sought to understand how the processes adopted, and relationships/networks developed by the CoSD leads and practitioners impacted the CoSD programme.
The research methodology was adapted in light of the Covid-19 pandemic and accompanying restrictions and included desk-based work; online interviewing; observation of the CoSD audits (online and in-person); and, as soon as was possible, in-person visits to case study schools to interview members of the school community e.g. pupils, staff (teaching and non-teaching), parents and  governors.
The research team sought and obtained ethical approval through their institution, Newcastle University, ethical review process.  Researchers adopted the British Educational Research Association (BERA, 2018) ethical principles and acted reflexively to consider the ethical implications of their actions.  Participants gave informed consent and researchers ensured that both adult and child participants were assured that their participation was entirely voluntarily and that if they did not wish to participate there would be no adverse consequences.  Participants were given multiple opportunities to ask questions about the research and contact details both in school and with the research team if they had any further queries or if they changed their mind about participation.  
Data were analysed both inductively, in identifying codes, searching for themes and reviewing (Braun and Clarke, 2006), and secondly deductively in relation to Cultural Historical Activity Theory (Engeström and Sannino, 2010 and Daniels, 2004) and the later work of Edwards on ‘relational agency’ (2006).

Conclusions, Expected Outcomes or Findings
Education policy in the UK is devolved to each country, and as a result the contexts, histories and starting points in each were very different for the CoSD national leads and practitioners in terms of working with schools and this impacted on how the project unfolded.
The CoSD project could not have happened as it did without the involvement of multiple partners. These partnerships were easier to develop where existing relationships existed, and where CPAG had established a good reputation. Finding shared agendas and values helped people to work together, as did demonstrating a good understanding of the local context in which the project took place. This led to credibility and trust being developed, where information could be shared, and whereby partners could broker relationships with schools and facilitate the sharing of good practice. Where partnerships were not already existing, extra time was needed to establish the project.
In terms of the partnership between the schools and the CoSD teams, trust was built through the positioning of the CoSD team as specialists in the field of child poverty, but was also established through the development of relations prior to an audit taking place, the processes in place to ensure that an audit ran smoothly and did not impact on the workload of staff and crucially in the way that the findings were presented to the school.
From the practitioners’ perspectives they all commented that being physically present in school enabled them to build better relationships with the pupils and staff. The shared desire to improve the lives of families experiencing poverty was an important foundation for the audit process and a key feature of the partnership working.  Nevertheless, funding constraints and historical ways of working sometimes got in the way of enacting significant change.

References
Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3: (2), 77-101.
Eurostat (2023) Living conditions in Europe - poverty and social exclusion - Statistics Explained (europa.eu)
CPAG (2023) Child poverty facts and figures | CPAG
Daniels, H. (2004) Activity Theory, Discourse and Bernstein. Educational Review Vol 56, No. 2
Edwards, A (2006) Relational Agency: Learning to be a resourceful practitioner International Journal of Educational Research Vol 43 p168-182
Engeström, Y. and Sannino, A. (2010) Studies of expansive learning: Foundations, findings and future challenges Educational Research Review Vol 5
Engeström, Y. and Sannino, A. (2021) From mediated actions to heterogenous coalitions: four generations of activity-theoretical studies of work and learning Mind, Culture and Activity 28(1) p4-23
JRF (2023) UK Poverty 2023: The essential guide to understanding poverty in the UK. York: Joseph Rowntree Foundation
Mazzoli Smith, L. and Todd, L. (2019) Conceptualising poverty as a barrier to learning through ‘Poverty proofing the school day’: The genesis and impacts of stigmatisation. British Educational Research Journal Vol. 45, No. 2, pp. 356–371
Mazzoli Smith, L. & Todd, L. (2016) Poverty proofing the school day: Evaluation and development report (Newcastle, Research Centre for Learning and Teaching).
Rickinson and Edwards (2021) The relational features of evidence use, Cambridge Journal of Education, 51:4, 509-526.


 
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