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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,405 datasets
A dataset from Kaggle likely containing passenger information from the RMS Titanic. The data is commonly used for introductory machine learning tasks, such as predicting survival outcomes. Specific details on the number of rows, columns, and provenance are not provided in the available metadata.
Tom_nodropout is a dataset hosted on Kaggle, likely related to student performance and dropout prediction. Its title suggests a focus on students who did not drop out, potentially for comparative analysis. The dataset is categorized under machine learning and education on its platform, indicating its intended use for predictive modeling.
6ClassDeepLearning is a dataset hosted on Kaggle, likely intended for educational purposes in machine learning. Its title suggests it contains data for a six-class classification problem, a common task for teaching deep learning fundamentals. The dataset's author, organization, and specific contents are not detailed in the available metadata.
Giving access to a state-by-state snapshot of eligibility criteria for students with visual impairments and deafblindness, as well as licensure requirements for Teachers of the Visually Impaired (TVIs) and Orientation & Mobility (O&M) specialists. Data were collected from state regulatory and policy documents between January and October 2021, covering all 50 states, Washington DC, and five US territories. It captures variability in how states implement federal special education law.
A collection of analysis files for replicating a study on academic self-concept formation using the German National Educational Panel Study (NEPS), Starting Cohort 3. The study analyzes data from a representative sample of fifth-grade students in Germany from the 2010/11 school year, with a follow-up wave in 2014/15 when students were in ninth grade. It incorporates individual student data, classroom-level aggregates, and fine-grained neighborhood characteristics at the 8-digit postal code level.
VideoCAD contains over 41,000 annotated video recordings of 3D CAD UI interactions, developed by Brandon Man at the DeCoDE Lab and updated in 2026. The data is generated via an automated framework that extracts high-fidelity UI action sequences from human-made CAD designs to support long-horizon learning.
Datos_examen is a dataset hosted on Kaggle, likely containing student exam results or related educational metrics. Its specific contents, size, and origin are not detailed in the available metadata. Users must download the dataset to verify the exact nature of the data.
Report card summary data on student access to teachers for the 2023-24 school year. The data is disaggregated by school, Educational Service District (ESD), Local Education Agency (LEA), and the state level, and originates from data.wa.gov. The record was last updated on January 27, 2026.
Biographical profiles of rectors and vice-rectors from state universities in 85 Russian regions, collected by Vladimir Krestinin in 2025. The data includes academic degrees, functional specializations, and educational history for senior executives. It covers all main state university campuses while excluding regional branches.
Washington state data on student access to qualified teachers for the 2021-22 school year. The dataset is disaggregated by school, Educational Service District (ESD), Local Education Agency (LEA), and the state level. It originates from data.wa.gov and was last updated in January 2026.
A 2026 survey of 634 individuals in Harare, Zimbabwe, provides data on financial inclusion, financial literacy, and the financial inclusion gap for women. The Fletcher Leadership Program for Financial Inclusion collected this data through random sampling across seven districts and four types of enumeration areas.
Outer Continental Shelf Environmental Assessment Program (OCSEAP) data contains physical, biological, chemical, and meteorological measurements collected from 1946-01-01 to 1990-10-11. The National Oceanic and Atmospheric Administration processed the data into 25 NODC standard file formats. Information was gathered from various platforms and organizations.
Featuring results of power-system contingency analyses along with graph and topology measurements for modeling system responses to disruptions. It was developed for machine-learning predictive modeling and is a companion to a 2020 NREL presentation.
Reports on satisfaction of requests for public information of the Ministry of Education and Science of Ukraine. The dataset contains information on processing requests, including year, month, method of receipt, and requester type. It is hosted on the eu_open_data platform and was last updated on 2026-03-03.
District of Columbia provides a dataset of services for money management, financial planning, and insurance education. The services are inclusive of individuals living with dementia or planning for future memory loss, covering larger organizations but not individual financial planners. The dataset was last updated on March 25, 2026.
University Areas defined by campus plans for the District of Columbia. The dataset contains locations and attributes of these areas, created as part of the DC Geographic Information System for the D.C. Office of Zoning and participating agencies. It was last updated on March 25, 2026.
A geographic dataset contains locations and attributes of universities and colleges in Washington D.C., created by the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer. The data is provided by OCTO, EMA, and other sources, with geo-processing performed by DC GIS staff.
University and college campus locations and attributes for the District of Columbia, created by the DC Geographic Information System. The data is provided by the Office of the Chief Technology Officer and other D.C. government agencies, with geo-processing by DC GIS staff. It excludes university areas defined in campus plans from the DC Office of Zoning.
A dataset with a title suggesting content related to learning multiple languages, possibly with a focus on Swedish. It was published on the Kaggle platform. Further details regarding its size, contents, and creation are unavailable from the provided metadata.
Multilanguage learning datasets likely contain educational materials for acquiring Swedish and potentially other languages. The dataset is published on Kaggle, but its specific contents, size, and creation details are not provided in the metadata. Users must download the dataset to verify its exact scope and structure.