113 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">Assessment plays a critical role in educational systems, serving as a source of information on the achievement of learning goals and as a basis for important decisions on student evaluation, curriculum, and teaching methods. This study investigates the alignment between declared policies and actual practices of English language assessment in secondary schools of Dhaka, Bangladesh. The

ZivaHub + Deakin Research Online2026 · dataset · unknown

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ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

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ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

Covers primary, secondary, tertiary, technical, professional and non-formal education. Includes a preface by Margaret Sinclair, Senior Education Officer of UNHCR.

ZivaHub + Deakin Research Online2026 · dataset · unknown

Report of a survey on the educational needs of the refugee population in Sudan. Also covers general state of the population and existing educational provision.

e-cienciaDatos2026 · dataset · unknown

This study is part of a broader research project aimed at analyzing historical narratives and their use in digital materials, considering different perspectives and the role of dialogue. An educational design study using pretest and posttest measures to examine the teaching of the Malvinas War (1982). Pseudonymised individual responses in 70 records from fourth-year secondary school students to th

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

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Repositorio de Datos de Investigación Universidad Andrés Bello2026 · dataset · unknown

Este conjunto de datos reúne el corpus de 39 entrevistas individuales producido en el marco de una investigación cualitativa sobre la permanencia escolar de estudiantes migrantes en la educación media pública chilena, con énfasis en la configuración del proyecto de vida y su relación con la continuidad educativa. Las entrevistas son semiestructuradas, de enfoque activo-reflexivo, fueron realizadas

ZivaHub + HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset contains anonymized quantitative data supporting the study entitled “Cryptography-Based Mathematics Instruction to Enhance Students’ Digital Ethics and Digital Security Literacy: A Mixed-Methods Study.”</p><p dir="ltr">The dataset contains item-level pretest and post-test responses for Digital Ethics and Digital Security Literacy, together with cognitive-test scores from

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports a systematic review of empirical research on mathematical modeling for sustainability in secondary mathematics and STEM education. It contains the study selection and PRISMA evidence ledger, a verified study-level extraction table, supplementary eligibility decisions, a coding framework, a methodological quality appraisal using the Mixed Methods Appraisal Tool, a

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports a systematic content analysis of Ghana’s <i>Mathematics Curriculum for Secondary Education (SHS 1–3)</i> published by the National Council for Curriculum and Assessment (NaCCA). The analytical corpus comprises 109 distinct learning indicators identified from the detailed SHS 1–3 curriculum sections.</p><p dir="ltr">The dataset contains systematic coding of curric

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<div><p>Predicting student academic performance is of significant importance for enabling timely educational interventions and improving educational outcomes in secondary education. However, existing predictive models in educational data mining often face the dual challenges of limited interpretability and suboptimal performance on small to medium-sized datasets. This study introduces the Prior-Da

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<div><p>Predicting student academic performance is of significant importance for enabling timely educational interventions and improving educational outcomes in secondary education. However, existing predictive models in educational data mining often face the dual challenges of limited interpretability and suboptimal performance on small to medium-sized datasets. This study introduces the Prior-Da

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>Training and inference times are reported in seconds. SVR, support vector regression; KNN, k-nearest neighbors; Ridge, ridge regression; GBM, gradient boosting machine; Random Forest, random forest; XGBoost, extreme gradient boosting; LightGBM, light gradient boosting machine; TabPFN, tabular prior-data fitted network.</p> <p>(XLSX)</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>The table lists the hyperparameter search space and the optimal configuration identified for each model. SVR, support vector regression; KNN, k-nearest neighbors; GBM, gradient boosting machine; Random Forest, random forest; XGBoost, extreme gradient boosting; LightGBM, light gradient boosting machine; TabPFN, tabular prior-data fitted network.</p> <p>(XLSX)</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>Model Performance on the Additional Student Exams Dataset.</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>Variance inflation factor (VIF) for predictor variables.</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>Results of paired t-tests comparing TabPFN with baseline models (two-tailed tests based on cross-validated RMSE scores).</p>

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p>The table reports the Wilcoxon statistic, p-value, and significance for each pairwise comparison between TabPFN and each baseline model. ** indicates p < 0.01. SVR, support vector regression; KNN, k-nearest neighbors; Ridge, ridge regression; GBM, gradient boosting machine; Random Forest, random forest; XGBoost, extreme gradient boosting; LightGBM, light gradient boosting machine; TabPFN, tabul

figshare2026 · Astronomical catalogue

<p>Stratified multivariable linear regression analysis of factors associated with FoC by parity status.</p>

figshare2026 · Astronomical catalogue

<p>Socio-demographic and clinical characteristics of the study participants stratified by parity.</p>

figshare2026 · Astronomical catalogue

<div> <p>Background</p><p>Previous studies on Fear of Childbirth (FoC) across sub-Saharan Africa have typically reported prevalence separately by parity or treated it as a covariate in multivariable analyses, with little attention given to identifying parity-specific determinants. However, first-time mothers and those with previous birth experiences may require different forms of antenatal support

figshare2026 · Astronomical catalogue

<p>Linear regression analysis of factors associated with FoC among study participants.</p>

figshare2026 · Astronomical catalogue

<p>Prevalence of FoC among study participants stratified by parity.</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">Baze podatkov so nastale v raziskavi za projekt Generativna umetna inteligenca v izobraževanju. Vprašalniki, s katerimi smo pridobili podatke so objavljeni na figshare <a href="https://doi.org/10.6084/m9.figshare.30670358" target="_blank">https://doi.org/10.6084/m9.figshare.30670358</a></p><p dir="ltr">Baze podatkov vključujejo:</p><p dir="ltr">a) združeno bazo za vse vodstvene delavc