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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,490 datasets
A dataset from the World Bank's Disability Data Hub measuring the percentage of persons with disabilities living in urban areas who have attained at least a primary education. The data likely contains tabular statistics on educational attainment within this specific demographic group. The dataset's specific temporal and geographic coverage is not detailed in the provided metadata.
Published by the Disability Data Hub (DDH) and hosted by the World Bank, this dataset likely contains statistics on the percentage of persons with disabilities living in rural areas who have attained at least a primary education. The specific temporal and geographic coverage is not provided in the available metadata. The data appears to focus on educational outcomes for a specific demographic within rural populations.
World Bank data provides a global indicator on the percentage of male persons with a disability who have attained at least a primary level of education. The dataset is published by the Disability Data Hub (DDH) and likely contains country-level statistics. The specific time range and update frequency are not provided in the available metadata.
World Bank data from the Disability Data Hub provides an indicator measuring the percentage of female persons with a disability who have attained at least a primary education. The dataset likely contains country-level statistics, though specific columns and temporal coverage are not detailed in the provided metadata. It is intended to support analysis of educational attainment and gender equality for persons with disabilities.
Disability Data Hub provides a dataset on the percentage of persons with disabilities who have attained at least a primary education. The data is aggregated from World Bank sources, focusing on individuals with significant functional difficulties. Its specific temporal and geographic coverage requires verification after download.
World Bank data on the percentage of persons aged 65 or older with at least primary education, specifically among those with a disability. The dataset is provided by the Disability Data Hub (DDH). The temporal coverage and specific geographic scope are not detailed in the provided metadata.
World Bank data from the Disability Data Hub measures the percentage of persons aged 45 to 64 years with significant functional difficulty who have completed at least primary education. The dataset likely contains country-level indicators for comparing educational outcomes within this demographic. Its temporal coverage and specific geographic scope are not detailed in the provided metadata.
World Bank data from the Disability Data Hub measures the percentage of persons aged 30 to 44 years with a disability who have completed at least primary education. The dataset likely contains tabular demographic indicators for cross-country comparison. The specific geographic scope, temporal coverage, and number of observations are not detailed in the provided metadata.
World Bank data from the Disability Data Hub measures the percentage of youth aged 15 to 29 with disabilities who have attained at least a primary education. The dataset likely contains tabular statistics on educational attainment for this demographic group. The specific temporal and geographic coverage is not detailed in the available metadata.
9120000 is a World Bank indicator code for actual education expenditure data. The dataset is part of the International Comparison Program (ICP) 2017 round, which standardizes economic statistics across countries. It provides a metric for comparing education spending adjusted for differences in national price levels.
Michael Jensen published this replication package in 2026 for a study on teacher training for Computer Assisted Learning (CAL) forthcoming in the Journal of Human Resources. It provides a restricted subset of student performance data alongside the original analysis code used to generate the paper's primary tables and figures.
Exploratory Data Analysis of Student Performance is a dataset hosted on Kaggle. The dataset likely contains metrics related to student academic outcomes, intended for analysis. Specific details on its size, origin, and features are not provided in the available metadata.
Tesy_image_example_3 is a dataset published on Kaggle. The title suggests it likely contains example images, though the specific content and scale are unknown. No author, organization, or update information is provided.
Student Performance Factors is a dataset hosted on Kaggle, a popular platform for data science competitions and resources. The title suggests it likely contains variables related to academic achievement and its predictors. Specific details on the data's origin, size, and features are not provided in the available metadata.
A dataset related to meta-learning, a subfield of machine learning focused on learning to learn. It was published on the Kaggle platform. The specific content, scale, and creation details are not provided in the available metadata.
A dataset published on Kaggle for practicing machine learning techniques. The title suggests it contains information related to the Titanic disaster, likely for building classification models. The raw description indicates it is intended for machine learning practice.
A dataset related to education, published on the Kaggle platform. The specific content, scale, and origin are not detailed in the provided metadata. Users should inspect the data files directly to understand its scope and structure.
Kaggle hosts a dataset titled 'Student Performance Inferential'. The dataset likely contains information for analyzing factors influencing student outcomes. The author, organization, and specific collection details are not provided.
Iris is a foundational dataset for machine learning and statistics education. It is published on the UCI Machine Learning Repository and made available on Kaggle. The dataset's exact size, features, and collection details are not specified in the provided metadata.
Kaggle hosts a dataset titled 'Industry-University-Research' with platform tags indicating a focus on county-level economic and cultural analysis. The raw description suggests the data pertains to counties as foundational units of a country's economy and culture. The author, organization, and specific details like row count and license are unknown.