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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,515 datasets
Data from a year-long study on the use of MindfulNest in Pre-Kindergarten classes. It includes teacher-completed Emotion Regulation Checklists for children at the start and end of the year, observations of teachers using the Teaching Pyramid Observation Tool, and custom family surveys. The dataset was authored by Samantha Speer and last updated in May 2026.
Chemical and bioactivity data from a study combining high-resolution fractionation with machine learning to identify aryl hydrocarbon receptor (AhR) agonists in sediment from the Elbe River, Germany. The dataset includes 145 AhR-active features identified by GC-HRMS and machine learning models, with 26 chemicals bioanalytically and chemically confirmed. It was authored by Haotian Wang and last updated on May 12, 2026.
A systematic review analyzing 40 peer-reviewed papers on digital transformation and sustainability in South African higher education from 2019 to 2025. Authored by Bakang Nthutang, the paper identifies interconnected risks such as digital divides, infrastructural deficits, and policy misalignment. It was last updated on May 13, 2026, and is shared under a CC-BY-4.0 license.
A systematic review synthesizes evidence from 40 peer-reviewed papers on digital transformation and sustainability in South African higher education from 2019 to 2025. Authored by Bakang Nthutang and uploaded to figshare in May 2026, the paper identifies interconnected risks like digital divides and policy misalignment. The 675.1 KB document contributes to discourse on inclusive and resilient higher education in developing contexts.
A PDF file containing supplementary data from a study on a hybrid Nano Escape Room (Nano EsRm) for informal learning. The study involved 176 students and 49 teachers, evaluating the activity's effectiveness for teaching nanoscale science concepts. The file was authored by Ron Blonder and last updated on 2026-05-20.
A qualitative dataset of 45 in-depth interviews with university graduates with disabilities from Israel, Italy, and Spain. The data explores how higher education supports or hinders career development, focusing on academic experiences, institutional supports and barriers, and transitions into employment. The dataset was created by Gilda Biagiotti and last updated in May 2026.
A cross-sectional online survey of 1,024 undergraduate students taking general physical education courses at five universities across three cities in China. The dataset includes measures of perceived autonomy support in PE, motivation for physical activity, environmental support, physical activity, and physical literacy, collected by author Jiacheng Guo. The data was last updated on 2026-05-20.
Johanna Tripo's meta-analysis explores the impact of non-digital tools and games on mathematical thinking and problem-solving skills among elementary and middle school students. The 10.4 KB XLSX file contains results from a systematic literature review of studies evaluating physical instructional aids like board games, manipulatives, and puzzles. The dataset was last updated on May 20, 2026.
A perspective article proposing a transition from information literacy to AI-mediated health literacy education in academic libraries. The document, authored by Ya-xin Sun and licensed under CC-BY-4.0, was last updated on May 20, 2026. It outlines a theoretical framework and actionable strategies for libraries to support health promotion in a digital age.
101 university-educated professionals in Mexico City responded to a 24-item Likert questionnaire in 2025. Emilio J. Medrano-Sánchez authored this study, which found a moderate, significant positive correlation between perceptions of AI and personal data protection. The analysis employed non-parametric correlation tests in SPSS.
Mexico City professionals' perceptions of artificial intelligence and personal data protection were surveyed in 2025. The dataset contains responses from 101 university-educated participants, collected via a 24-item Likert-type questionnaire. Emilio J. Medrano-Sánchez authored this study, which was last updated in May 2026.
101 university-educated professionals in Mexico City responded to a 24-item Likert-type questionnaire in 2025. The study by Emilio J. Medrano-Sánchez analyzed correlations between perceptions of artificial intelligence and personal data protection using non-parametric statistical tests. Results indicated a moderate, significant positive association between a favorable view of AI and favorable perceptions of data protection.
Supplementary file 1 from a study by Tingshuai Ge, published on figshare in 2026, examines the effects of own, parental, spousal, and children's education on later-life health trajectories. The dataset is derived from the China Health and Retirement Longitudinal Study (CHARLS) and contains 62,836 person-years of observations from 15,304 individuals aged 45-85 over the period 2011-2020.
18 machine learning and hybrid spatial interpolation methods were tested for predicting seabed mud content across three regions of the Australian Exclusive Economic Zone. The study, using samples from Geoscience Australia's MARS database, found combinations of Random Forest with ordinary kriging or inverse distance squared reduced prediction error by up to 19%. This research provides an alternative source of methods for spatial interpolation and guidance for future studies.
A systematic literature review synthesizing studies from 2000 to 2024 on modelling the distribution of skin neglected tropical diseases. The dataset, authored by Mesoud A. Bushara and shared on figshare, contains results from 68 included studies out of 2,870 retrieved records. It was last updated in May 2026.
A 2020 spatial dataset provides Victoria's integrated coastline at 0 and 0.5 metre Australian Height Datum (AHD) contours. The Victorian Environmental Assessment Council (VEAC) created it by adjusting the 'Vic_Coastline_2008' dataset, manually editing areas with missing islands and connecting rock stacks, and incorporating shoreline data for the Gippsland Lakes. It was published by the Department of Energy, Environment and Climate Action and is available in multiple geospatial formats.
84 studies published between April 2015 and April 2025 were reviewed to evaluate assessment practices for cognitive, behavioral, and neurodevelopmental domains in children with Neurofibromatosis type 1 (NF1). The review, authored by Andrea Santangelo and published on figshare, identified over 110 assessment tools used across 35 domains. It highlights a focus on children aged 6 years and older, with preschool-aged children being underrepresented.
Dynamic inundation modeling for a 1% Annual Exceedance Probability coastal flood event under a 1.4-meter sea level rise scenario. The dataset, created by the Department of Energy, Environment and Climate Action, covers study areas including Barwon Heads, Breamlea, Newcomb, and Queenscliff on the Bellarine Peninsula. It includes attributes for maximum depth, velocity, and water surface elevation.
Anonymized qualitative materials from an exploratory study on skin tone, colorism, and institutional belonging in U.S. higher education. The dataset includes open-ended survey narratives and a follow-up interview, analyzed through Critical Race Theory and Webb's IRIS framework. It was authored by Valerie Ray and last updated on June 3, 2026.
Massachusetts Department of Elementary and Secondary Education data shows the number and percentage of students in public and charter schools completing at least one Digital Literacy or Computer Science course. The dataset includes counts and percentages for each grade from kindergarten through 12th grade, aggregated by school and district. It was last updated on May 13, 2026, and is published by educationtocareer.data.mass.gov.