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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,411 datasets
A study by Linda Angell presents driver performance data collected from 57 drivers in a laboratory, 108 drivers on an interstate highway, and 69 drivers on a test track. The research examined 22 in-vehicle tasks plus baseline driving under various conditions to develop metrics and a toolkit for assessing visual, manual, and cognitive workload. Analysis focused on selecting repeatable and predictive metrics from lateral/longitudinal control, object detection, and eyeglance behavior.
A literature review and analysis of research from the last 20 years on American middle schools, conducted by the RAND Corporation. The monograph assesses school effectiveness by focusing on student outcomes like academic achievement and reviews research on teachers, principals, and parents. It describes historical changes, organizational practices, and reforms to identify major challenges facing middle-grade education.
New York City's active capital and school construction projects, as listed on data.cityofnewyork.us. The dataset includes project descriptions, award dates, and school names. It was last updated on 2026-02-02.
A multi-sensor dataset designed for intelligent examination surveillance. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown. Its specific size, row count, file formats, and license information are also not provided.
RAVDESS_DeepLearning is a dataset hosted on Kaggle. The title suggests it is likely a version of the Ryerson Audio-Visual Database of Emotional Speech and Song, adapted for deep learning tasks. The dataset's specific size, features, and exact composition require verification after download.
A dataset likely related to validating a Graph Attention Network (GAT) model. The title suggests the validation involved a 35% dropout rate and was conducted on May 21. It is hosted on the Kaggle platform.
Hill altitude data intended for educational purposes. The dataset is hosted on Kaggle, but its creator, organization, and specific geographic scope are unknown. The last update date, file size, and row count are also unspecified.
Flux2-Image is a collection of image files used to train the Flux2 transformer model from scratch. The dataset was created by author Fredtt3 and was last updated on February 17, 2026. Its structure includes multiple directories of PNG images and a CSV file, suggesting it contains image data with associated metadata.
Annual updates provide current listings of community programs and activities. The dataset catalogs event types, intended audiences, locations, and schedules for lifelong learning opportunities. It is maintained by data.norfolk.gov.
Model outputs for surface and sub-surface currents were produced by University of Massachusetts-Boston researchers to examine spatial and temporal variability. The data supports a biogeographic assessment of the Stellwagen Bank National Marine Sanctuary region. The dataset is hosted by NOAA NCEI and has been available on multiple government data platforms.
Surface and sub-surface current model outputs were obtained from researchers at the University of Massachusetts-Boston to examine spatial and temporal current variability within the region around Stellwagen Bank National Marine Sanctuary. The dataset is hosted by NOAA NCEI and appears on multiple platforms, including NASA EarthData and Data.gov. The primary file format is PDF.
Geospatial life cycle assessment data for coal in the United States, published on Kaggle. The dataset likely contains spatially referenced information on the environmental impacts of coal across its life cycle. Specific details on data volume, collection methodology, and authorship are not provided in the available metadata.
This dataset examines the impact of Marco Polo's travels on the diffusion of Christian missionaries and economic development at the prefecture level in historical China. It includes variables such as prefectures mentioned by Marco Polo and years since missionaries' first arrival. The study also incorporates comparative data from European and Indian contexts.
This dataset examines the impact of Marco Polo's travels on Christian missionary diffusion and economic development at the prefecture level in historical China. It includes variables such as prefectures mentioned by Marco Polo and years since missionaries' first arrival, with data also collected for European and Indian contexts. The dataset was created by Zhiwu Chen.
Marine_PULSE contains 627 labeled side-scan sonar images across four categories: 323 pipeline or cable, 134 underwater residual mound, 88 seabed surface, and 82 engineering platform images. Xing Du from the First Institute of Oceanography compiled the dataset using instruments like EdgeTech4200FS and Klein-3000, with images processed via the PostSurvey software. The data is pre-split into training and test sets for machine learning applications.
Encompassing quantitative and qualitative responses from 48 secondary school students regarding cinema-based English as a Foreign Language (EFL) instruction, collected by Estefanรญa Sรกnchez. The data captures student attitudes through pre- and post-intervention surveys featuring Likert scales and open-ended justifications. It includes raw data in Excel and SPSS formats, qualitative files for NVivo, and documented statistical analyses.
GB3D_v2014 is a National Geological Model fence diagram providing a 3D representation of Great Britain's bedrock geology. The dataset comprises a network of cross-sections with an aggregate length exceeding 25,000 km, extending to depths between 1.5 and 6 km. It was compiled by 16 expert regional geologists at the British Geological Survey between 2009 and 2014, incorporating around 300 deep stratigraphic boreholes and superseding an earlier 2012 version.
A 2022 dataset from the British Geological Survey maps shrink-swell subsidence hazard to individual building polygons in England and Wales. It provides an overall susceptibility score (1-100) and factor-specific scores (1-10) for geology, foundation, drainage, building type, storey height, and tree proximity.
National-level data on the total population of pupils enrolled in lower secondary education. Figures are reported by countries themselves, with definitions and methodologies determined at the national level. The dataset is compiled by the Global Partnership for Education.
World Bank data on pupils entering lower secondary school for the first time across multiple countries. The Global Partnership for Education provides this national-level data, where definitions and collection methods are country-specific. The temporal coverage and volume of records are not specified.