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<p>This publication provides revised attainment and progress statistics for key stage 2 national curriculum assessments in England. It is an update to the provisional statistics published on 12 September 2023 and extends the <a href="https://explore-education-statistics.service.gov.uk/find-statistics/key-stage-2-attainment-national-headlines/2022-23">Key stage 2: National headlines</a> statistics published on 11 July 2023. Progress measures of pupils between key stage 1 and key stage 2 are...
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<p>This statistical release focuses on the GCSE results of pupils at the end of Key Stage 4 (KS4) attending state-funded schools in England. This provisional release includes pupil characteristic breakdowns such as disadvantage status, free school meal status, special educational needs status and ethnicity.</p><p>In 2022/23 there was a return to pre-pandemic standards for GCSEs, AS and A levels, with protection built into the grading process to recognise the disruption that...
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Abstract Educational applications (apps) are ubiquitous within children's learning environments and emerging evidence has demonstrated their efficacy. However, it remains unclear what the active ingredients (ie, mechanisms), or combination of ingredients, of successful maths apps are. The current study developed a new, open‐access, three‐step framework for assessing the educational value of maths apps, comprised of type of app,...
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Educational software and apps offer a potential solution for the global learning crisis in maths and literacy. When designed, implemented, and integrated effectively, these programmes can offer accessible and personalised learning experiences for young children at school and at home. This paper synthesises current evidence evaluating the use of educational software and apps with young children aged 0-8 years in early childhood and primary education, including those from disadvantaged and...
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“Ubiquitous AI”—embodied in cloud computing web services, coupled with sensors in phones and the physical world—is becoming infrastructural to cultural practices. It creates a surveillance society. We review the capabilities of four core surveillance technologies, all making headway into universities and PreK-12 schools: (1) location tracking, (2) facial identification, (3) automated speech recognition, and (4) social media mining. We pose primary issues educational research should...
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This chapter reflects on the contributions of different articles of the book from various perspectives. Seven categories provide perspectives to reflections. Four of them are connected to different levels of the educational system, others opening scenarios to research on education and learning with AI, and finally the last category is devoted to ethical challenges of AI in education and learning.
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More than 617 million children and adolescents lack the basic reading and mathematics skills required to live healthy and productive lives. Malawi ranks particularly poorly, with an average pupil to teacher ratio of 77:1 and a 50% dropout rate among primary school children. Established in 2013, the Unlocking Talent initiative uses e-Learning technology to help overcome educational challenges. It equips touch-screen tablets with customisable software that delivers lessons through multisensory...
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Practitioner experience and reflections on what can be done specifically within the education sector to adapt and reduce the negative impacts of climate change on education.
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This study explores learners’ emotional experiences and self-regulation and how they overcome stressful situations in a simulation-based learning environment (SBLE). We also examine what kinds of situations an AI tutor could be used to facilitate simulation-based learning. We will first present the theoretical background of the research dealing with self-regulated learning, followed by positive and negative emotions and situations in simulation-based learning. The research questions of the...
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With the accelerating growth of the academic corpus, doubling every nine years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text screening is done...
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Large-scale data sets on scholarly publications are the basis for a variety of bibliometric analyses and natural language processing (NLP) applications. Especially data sets derived from publication's full-text have recently gained attention. While several such data sets already exist, we see key shortcomings in terms of their domain and time coverage, citation network completeness, and representation of full-text content. To address these points, we propose a new version of the data set...
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