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\"In recent years many countries have built or renovated schools incorporating open plan design. These new spaces are advocated on the basis of claims that they promote fresh, productive ways to teach and learn that address the needs of students in this century, resulting in improved academic and well-being outcomes. These new approaches include teachers planning and teaching in teams, grouping students more flexibly, developing more coherent and comprehensive curricula, personalising student learning experiences, and providing closer teacher-student relationships. In this book we report on a three-year study of six low SES Years 7-10 secondary schools in regional Victoria, Australia, where staff and students adapted to these new settings. In researching this transitional phase, we focused on the practical reasoning of school leaders, teachers and students in adapting organisational, pedagogical, and curricular structures to enable sustainable new learning environments. We report on approaches across the different schools to structural organisation of students in year-level groupings, distributed leadership, teacher and pre-service teacher professional learning, student advocacy and wellbeing, use of techno-mediated learning, personalising student learning experiences, and curriculum design and enactment. We found that these new settings posed significant challenges for teachers and students and that successful adaptation depended on many interconnected factors. We draw out the implications for successful adaptation in other like settings\"--Jacket.

This article focuses on empirically analyzing the final products designed by 147 academics from 11 countries who participated in an international open education movement workshop by answering the research questions “What are the techno-pedagogical components of the products designed by the participants to encourage the open educational movement? and what practice of the open educational movement is being executed?” The article starts with a conceptual basis that describes the concepts of Active learning, Education 4.0, Complex Thinking and Open Education. It presents (1) the case study methodology on which this research is based, (2) two case studies on open education, (3) a game-based intervention proposal to support instructors in training university students in complex thinking skills based on Education 4.0 technologies and game-based learning principles, (4) and a discussion of the findings and opportunities for further work in the area. The findings of this study reveal that (A) the use of emerging and 4.0 technologies in initiatives of the open education movement continue to increase; (B) most of the open education initiatives designed by academics participating in the workshops were focused on the production of OER; and (C) inclusive access to education and continuing professional development of teachers is a constant concern addressed in open education initiatives. The results of this research suggest that training and development interventions implying the creation or design of open education initiatives should focus on encouraging all kinds of open education practices (i.e. use, production, dissemination and mobilization).

\"How can widely acknowledged challenges facing regional secondary schools with high concentrations of low SES students, ineffectual curricula, and poor levels of student engagement, attendance, and wellbeing, be addressed? In this book we report on key outcomes of the Bendigo Education Plan that aimed to improve the academic attainment and wellbeing of 3000 regional secondary students. This Plan entailed rebuilding four Years 7-10 colleges, and developing a differentiated and personalised curriculum, with teachers team-teaching in open-plan settings. We analyse how and why teachers and students adapted to these new practices. We focus on both generic changes in the schools, around the use of ICTs and the organisation of the curriculum, and on specific approaches to teaching and learning in English, mathematics, science, social studies and studio arts. This book provides research-based guidelines on how the curriculum can be renewed and enacted effectively in these and like schools. In analysing a large-scale attempt to address the challenge of making learning personalised and meaningful for this cohort of students, our book addresses larger questions about quality secondary curriculum and successful teacher professional learning support.\"

Finnish education has recently experienced reforms with respect to guidelines forming the curriculum framework for basic education and school architecture. Since 2016, all new schools incorporate open and flexible design, at least to some extent. The more open school design challenges the conventional organisation of space and pre-defined structures and interaction practices. This study investigates how teachers both adapt and are affected by new demands for pedagogy, team teaching and teacher-student relationships. Interview data of 21 teachers of six modern schools are reviewed through thematic analysis. The new school layouts provided some incongruence with the teachers' aims and their preferred practices. Although many teachers were dissatisfied with the new or remodelled space solution, they felt that their school had developed as a learning community, with improved collegiality, and good experiences of team teaching had increased. Shared vision, open discussion, commitment and enough time for preparation had helped in adaptation. Lacking arguments behind school transformation and the dismissal of ideas of school design hindered adaptation. This study suggests that teachers should have a greater voice in the school design process, and the needs of learners should be carefully considered, ensuring optimal physical and pedagogical context for effective and collaborative learning.

Background Schools and preschools have largely remained open in Norway throughout the pandemic, with flexible mitigation measures in place. This contrasts with many other high-income countries that closed schools for long periods of time. Here we describe cases and outbreaks of COVID-19 in schools and preschools during the academic year 2020/2021, to evaluate the strategy of keeping these open with infection prevention control measures in place. Methods In this descriptive study, the Norwegian Institute of Public Health initiated systematic surveillance for COVID-19 cases and outbreaks in schools and preschools in October 2020. Data was compiled from the national outbreak alert system VESUV, municipality websites, and media scanning combined with the national emergency preparedness register Beredt C-19. An outbreak was defined as ≥ 2 cases among pupils or staff within 14 days at the same educational setting. Settings were categorized as preschool (1–5-years), primary school (6–12-years), lower secondary school (13–15-years) and upper secondary school (16–18- years). We reported the incidence rate among preschool and school-aged pupils and gave a descriptive overview of outbreaks and included cases per educational setting. Results During the whole academic year, a total of 1203 outbreaks in preschools and school settings were identified, out of a total of 8311 preschools and schools nationwide. The incidence of COVID-19 in preschool- and school-aged children and the rates of outbreaks in these settings largely followed the community trend. Most of the outbreaks occurred in primary schools (40%) and preschools (25%). Outbreaks across all settings were mostly small (median 3 cases, range 2 to 72), however, 40 outbreaks (3% of total) included 20 or more cases. The larger outbreaks were predominantly seen in primary schools (43%). Conclusions We observed few large outbreaks in open schools and preschools in Norway during the academic year of 2020/2021, also when the Alpha variant was predominant. This illustrates that it is possible to keep schools and preschools open even during periods of high community transmission of COVID-19. Adherence to targeted IPC measures adaptable to the local situation has been essential to keep educational settings open, and thus reduce the total burden on children and adolescents.

To successfully differentiate instruction, you need the right mindset, a strong skill set, and an effective tool set. Teachers who differentiate are instructional decision makers—educational designers who leverage pedagogical expertise and carefully cultivated insight to plan rigorous and respectful learning experiences for every student. In Using Technology in a Differentiated Classroom, Clare R. Kilbane and Natalie B. Milman explain how to pair the principles of differentiation and quality instructional design with educational technology to ensure every learning experience is engaging, effective, efficient, and equitable. You'll find expert guidance and an array of recommended digital tools that will support your efforts to • Plan or adapt lessons, units, and learning activities to differentiate by content, process, and product; • Create and sustain a positive and supportive learning community; • Design and employ more accurate and informative assessment; • Learn from and about students and families—and communicate more clearly with both; and • Manage the various administrative and operational aspects of differentiation. To differentiate instruction is to pursue the highest aims of the profession—namely, to meet every student as a uniquely valuable individual, help each acquire knowledge and build skills and understanding, and position all for future success. Read this book to become a better differentiator and more skillful teacher.

Educational recommenders have received much less attention in comparison with e-commerce- and entertainment-related recommenders, even though efficient intelligent tutors could have potential to improve learning gains and enable advances in education that are essential to achieving the world’s sustainability agenda. Through this work, we make foundational advances towards building a state-aware, integrative educational recommender. The proposed recommender accounts for the learners’ interests and knowledge at the same time as content novelty and popularity, with the end goal of improving predictions of learner engagement in a lifelong-learning educational video platform. Towards achieving this goal, we (i) formulate and evaluate multiple probabilistic graphical models to capture learner interest; (ii) identify and experiment with multiple probabilistic and ensemble approaches to combine interest, novelty, and knowledge representations together; and (iii) identify and experiment with different hybrid recommender approaches to fuse population-based engagement prediction to address the cold-start problem, i.e., the scarcity of data in the early stages of a user session, a common challenge in recommendation systems. Our experiments with an in-the-wild interaction dataset of more than 20,000 learners show clear performance advantages by integrating content popularity, learner interest, novelty, and knowledge aspects in an informational recommender system, while preserving scalability. Our recommendation system integrates a human-intuitive representation at its core, and we argue that this transparency will prove important in efforts to give agency to the learner in interacting, collaborating, and governing their own educational algorithms.

This case study describes the development of an open research skills framework at the University of York. The framework responds to a need for more comprehensive training, clarity and understanding around open research practices across disciplines at York, in line with the University's commitment to the long-term development of an open research culture. The framework was developed by Library, Archives and Learning Services (LALS) in partnership with practitioners from different disciplines across the University's research community. We summarize the background of open research activities at York since 2020, describe how the project was initiated and progressed during the summer of 2022, then provide an overview of the framework itself including areas for future development and consideration. We conclude with some early indicators of usage and reflections on the project, and we hope that this case study will prove useful for research support staff who may be considering developing a similar framework for their own institution.

This study examines the relationship between national open educational resource (OER) policies and Sustainable Development Goal 4 (SDG4) outcomes across 187 countries between 2015 and 2024, with particular attention to the moderating role of artificial intelligence (AI) readiness. Despite widespread optimism about digital technologies as catalysts for universal education, systematic evidence linking formal OER policy frameworks to measurable improvements in educational access and completion remains limited. The analysis employs fixed effects and difference-in-differences estimation strategies using an unbalanced panel dataset comprising 435 country-year observations. The research investigates how OER policies associate with primary completion rates and out-of-school rates while testing whether these relationships depend on countries’ technological and institutional capacity for advanced technology deployment. The findings reveal that AI readiness demonstrates consistent positive associations with educational outcomes, with a ten-point increase in the readiness index corresponding to approximately 0.46 percentage point improvements in primary completion rates and 0.31 percentage point reductions in out-of-school rates across fixed effects specifications. The difference-in-differences analysis indicates that OER-adopting countries experienced completion rate increases averaging 0.52 percentage points relative to non-adopting countries in the post-2020 period, though this estimate remains statistically imprecise (p equals 0.440), preventing definitive causal conclusions. Interaction effects between policies and readiness yield consistently positive coefficients across specifications, but these associations similarly fail to achieve conventional significance thresholds given sample size constraints and limited within-country variation. While the directional patterns align with theoretical expectations that policy effectiveness depends on digital capacity, the evidence should be characterized as suggestive rather than conclusive. These findings represent preliminary assessment of policies in early implementation stages. Most frameworks were adopted between 2019 and 2022, providing observation windows of two to five years before data collection ended in 2024. This timeline proves insufficient for educational system transformations to fully materialize in aggregate indicators, as primary education cycles span six to eight years and implementation processes operate gradually through sequential stages of content development, teacher training, and institutional adaptation. The analysis captures policy impacts during formation rather than at equilibrium, establishing baseline patterns that require extended longitudinal observation for definitive evaluation. High-income countries demonstrate interaction coefficients between policies and readiness that approach marginal statistical significance (p less than 0.10), while low-income subsamples show coefficients near zero with wide confidence intervals. These patterns suggest that OER frameworks function as complementary interventions whose effectiveness depends critically on enabling infrastructure including digital connectivity, governance quality, technical workforce capacity, and innovation ecosystems. The results carry important implications for how countries sequence educational technology reforms and how international development organizations design technical assistance programs. The evidence cautions against uniform policy recommendations across diverse contexts, indicating that countries at different stages of digital development require fundamentally different strategies that coordinate policy adoption with foundational capacity building. However, the modest short-term effects and statistical imprecision observed here should not be interpreted as evidence of policy ineffectiveness, but rather as confirmation that immediate transformation is unlikely given implementation complexities and temporal constraints. The study contributes systematic cross-national evidence on aggregate policy associations while highlighting the conditional nature of educational technology effectiveness and establishing the need for continued longitudinal research as policies mature beyond the early implementation phase captured in this analysis.

In this paper, we critically evaluate the evolving process of Open Education (OE) amidst the ongoing proliferation of Artificial Intelligence (AI). The Multi-Level Perspective (MLP) framework developed by Geels (2002) is utilized in the present analysis of contemporary calls for \"openness\" in AI, with a focus on the concepts of democratization, cost-effectiveness, sustainability and decentralization. Moving beyond a binary framing of openness as either commercialized or emancipatory, the analysis conceptualizes openness as a contested imaginary shaped by a diverse array of actors.