Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,442 datasets
A systematic review and meta-analysis of 11 studies evaluating the flipped classroom model in surgical education. The dataset, published by Rui Cheng on figshare under a CC-BY-4.0 license, contains pooled effect sizes and subgroup analyses comparing flipped classroom to traditional lecture methods. It was last updated on 2026-05-28.
A 21.3 KB document contains a systematic review and meta-analysis comparing flipped classroom and traditional lecture methods in surgical education. The analysis includes 11 studies in the review and 9 in the meta-analysis, authored by Rui Cheng and last updated in May 2026. It reports pooled effect sizes for learning outcomes, including total, theoretical, and operational scores.
Daily global land surface reflectance data is produced using 16 days of observations from the Terra and Aqua MODIS satellites at a 500-meter resolution. The product applies a Bidirectional Reflectance Distribution Function (BRDF) adjustment to remove view-angle effects, resulting in Nadir BRDF-Adjusted Reflectance (NBAR) for MODIS bands 1-7. Users must consult separate quality files (MCD43A2) and apply band-specific quality flags to isolate the highest quality data for their applications.
A global systematic review and meta-analysis synthesized 43 studies on undergraduate medical students' engagement with artificial intelligence. The study, authored by Paolo Visci and last updated in June 2026, reports pooled estimates showing moderate knowledge, positive attitudes, and comparable practice levels based on a quantitative synthesis of 11 studies.
Secondary analysis of data from a cluster randomized control trial involving 62 schools and 2,425 children. The dataset contains results from a multiverse framework applying ten pre-registered CACE model specifications to assess a universal social-emotional learning intervention's efficacy on student relational outcomes. Authored by Annie O'Brien and last updated on 2026-06-02.
82 open-licensed Markdown documents form the knowledge base for benchmarking AI assistants in computer science education. The study by Xiaoqing Shen, last updated in June 2026, provides systematic benchmarks for models like Qwen-7B and DeepSeek-MoE, evaluating accuracy, latency, and energy consumption on consumer-grade GPUs. It includes results on multi-hop reasoning tasks and the impact of 4-bit quantization on VRAM usage.
43 peer-reviewed articles and national statistics synthesize facilitators and barriers to student fitness across five levels. Self-efficacy shows standardized path coefficients from 0.35 to 0.46, while academic pressure is the principal individual barrier. The analysis, by Minzhi Fang and published in 2026, identifies teacher support and policy gaps within the Healthy China 2030 framework.
A 12-item questionnaire assesses physiotherapy students' predisposition, perceived competence, and readiness for emergency, disaster, and humanitarian action (EDHA). The instrument was content-validated by a panel of 12 experts and administered to 126 undergraduate students from six Portuguese higher education institutions. Results show a majority of students reported interest in EDHA contexts, but only 35.7% felt adequately prepared.
A 12-item questionnaire survey of 126 undergraduate physiotherapy students from six Portuguese higher education institutions, conducted to assess their predisposition, perceived competence, and readiness for emergency, disaster, and humanitarian action (EDHA). The instrument was content-validated by a panel of 12 experts and administered in a cross-sectional study design. The data was published by Maria da Lapa Rosado on figshare under a CC-BY-4.0 license.
A survey of 27 university inmate students at Al-Karkh Central Prison in Iraq assessed the effectiveness of an e-learning English language course. The study used a validated 20-item bilingual questionnaire and found a significant consensus among inmates regarding e-learning's effectiveness. The dataset, authored by Tabarak Mahmoud Ali Al-Nua’emi and last updated in June 2026, is a 9.7 MB document analyzing student viewpoints.
Shota Shirasaka's study from 2026 provides data on the disconnect between automated facial expression recognition and human peer evaluations. It includes 702 peer ratings across nine dimensions for 27 Japanese pre-service teachers conducting 3-minute microteaching sessions. The dataset, shared under a CC-BY-4.0 license, contains results from DeepFace and Py-Feat analyses organized into three evidence levels.
figshare admin karger published supplementary material for a machine learning study on June 3, 2026. The dataset contains demographic, clinical, behavioral, and laboratory data from 809 children aged 6–12 years with ADHD. It was used to develop models predicting treatment response and adverse events for acupuncture combined with conventional care.
Three geospatial datasets map areas of dryland salinity risk in the Murray-Darling Basin and coastal NSW catchments for the years 2000, 2020, and 2050. Risk areas are delineated at a nominal scale of 1:250,000 based on groundwater levels less than 2 meters and air photo interpretation, with each polygon underpinned by either borehole or aerial data. The assessment is considered conservative due to limitations in spatial data coverage, and extrapolation techniques for potential risk were deemed inadequate.
A methodological study on near-infrared spectroscopy (NIRS) assessments in rock climbers, comprising data from 28 participants for forearm morphology and 22 participants for optode placement effects. The dataset includes measurements of adipose tissue thickness, flexor digitorum superficialis thickness, and flexor digitorum profundus thickness at three forearm sites, as well as haemodynamic outcomes from vascular occlusion and incremental finger flexor endurance tests. It was authored by Simon Vandenhaute and last updated on June 3, 2026.
A controlled driving simulation study collected physiological and subjective fatigue data from 40 participants. The dataset includes Heart Rate Variability (HRV) indicators combined with Karolinska Sleepiness Scale (KSS) and Rating of Fatigue (ROF) scores under normal and sleep-deprived conditions. The data was used to train machine learning models, with XGBoost achieving 77% accuracy for fatigue classification.
37 paired assessments from 48 recorded in-situ cardiopulmonary resuscitation simulations in a tertiary emergency department. Chun-Ju Lien authored this prospective observational study comparing live and video-based Team Emergency Assessment Measure ratings, published on figshare in 2026. The dataset likely contains TEAM scores and agreement metrics.
811 Chicago records all reported damages to underground facilities as 'hit tickets' since January 1, 2020. This dataset, provided by the Chicago Department of Transportation, documents incidents where excavation work may have struck utilities like gas, water, or communication lines. Each record includes details on the location, utility owner, reporting party, and a related dig ticket, though the data represents initial reports subject to official investigation.
HeiGIT's Morocco Risk Assessment Indicators dataset aggregates demographic, environmental, infrastructure, accessibility, and hazard-related data at administrative level 2. It integrates open data from WorldPop, OpenStreetMap, and Google Earth Engine using HDX COD-AB boundaries. The dataset was last updated on 2026-04-27.
HeiGIT's Greenland Risk Assessment Indicators dataset provides demographic, environmental, infrastructure, accessibility, and hazard-related data aggregated at admin level 2. It integrates open data from WorldPop, OpenStreetMap, and Google Earth Engine via the GAIA Pipeline. The dataset was last updated on 2026-04-27.
Seven indicator tables for Guinea Bissau aggregated at administrative level 2, derived from HeiGIT's GAIA Pipeline. The data integrates open sources like WorldPop, OpenStreetMap, and Google Earth Engine. It was last updated on 2026-04-27.