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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,418 datasets
Year records indicate the most recent national or international study on the effectiveness of instructional time for learning activities. The data is compiled by the Global Partnership for Education and sourced from the World Bank. The temporal coverage and total number of country records are not specified.
World Bank data from the Global Partnership for Education measures the ratio of mathematics textbooks per pupil in primary education. The indicator tracks country-reported figures on the number of standard mathematics books available for each student. Country-specific definitions and collection methods are determined by national authorities.
Outcome Based Education (OBE) assessment data for tertiary-level engineering and social sciences, authored by Mohammad Asif Ul Haq and updated in March 2026. The dataset scale and specific record counts are currently undocumented in the source metadata.
2026-03-11 updated dataset from the British Geological Survey assesses the potential for rapid ground subsidence due to metastable loessic deposits. It provides complete coverage of Great Britain, based on BGS DiGMapGB-50 mapping and expert geological knowledge. The data informs planning decisions by indicating causes of subsidence from construction loading and water saturation.
University data sourced from the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download and inspect the files to determine the exact nature of the records.
Exam-violation-gcn-bilstm is a dataset hosted on Kaggle. Its title suggests it contains data related to student behavior, likely for detecting exam violations using Graph Convolutional Networks (GCN) and Bidirectional Long Short-Term Memory (BiLSTM) models. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Continuing education course completions for Texas insurance licensees, monitored by the Texas Department of Insurance. The dataset includes records for agents, producers, adjusters, and title agents. Specific row and column counts are unavailable.
Historical data from 2010 and 2011 records manual decisions to allow or deny employee access to resources. This dataset was used for a Kaggle competition to build an algorithm that predicts approval or denial for an unseen set of employees. The data originates from Amazon and is published under a U.S. public domain license.
Machine Learning Traditional Algorithms Overview is a dataset published on Kaggle. Its content likely provides an educational summary or comparison of foundational machine learning methods. The specific number of algorithms covered, data format, and authorship details are not provided in the available metadata.
A dataset from Kaggle concerning accommodation challenges faced by students at private universities in Dhaka, Bangladesh. The description suggests it likely contains survey or administrative data on housing issues. The author, organization, and specific temporal coverage are unknown.
Hugging Face Datasets provides access to thousands of community-contributed datasets for machine learning across text, vision, and audio modalities. Maintained by Hugging Face and updated as of March 2026, it serves as a centralized repository for standardized data loading and manipulation.
A dataset published on Kaggle, likely intended for educational purposes in machine learning. The title suggests it contains data for lab exercises, but its specific content, size, and origin are unconfirmed. Users must verify the actual data after download.
Exam hall data published on Kaggle, likely containing records related to student examinations. The dataset's specific content, such as student scores, timestamps, or seating arrangements, requires verification after download. Its origin and collection method are currently unspecified.
TensorFlow Datasets (TFDS) is a collection of ready-to-use datasets maintained by the TensorFlow team for use with machine learning frameworks like TensorFlow and JAX. It provides a standardized interface to access hundreds of datasets across vision, text, and audio domains. The repository is actively maintained with updates recorded as recently as March 2026.
AccessScience provides an authoritative online resource covering scientific disciplines, including information on Severe Acute Respiratory Syndrome (SARS). The content is authored by Susan M. Poutanen and is described as high-quality educational material. The dataset's specific size, format, and update frequency are not detailed.
A report profiling 12 middle school programs evaluated using experimental or quasi-experimental designs. The programs focused on delaying sexual initiation, reducing sexual activity, and improving contraceptive or condom use. The report was authored by Jennifer Manlove and aggregates findings from evaluations that measured knowledge, attitudes, and communication skills.
AccessScience provides authoritative educational material covering all major scientific disciplines. The resource contains incisively written, high-quality content and is authored by Kevin Curtis. The last update date is unknown.
A book synopsis presenting The Foresight Mental Capital and Wellbeing Project, a UK Government Office for Science initiative. It comprises a series of scientific reviews by leading international scientists, analyzing evidence on mental capital and wellbeing across the lifespan. The work explores impacts from family, school, work, and retirement on individual welfare and national economic progress.
AccessScience is an authoritative online resource containing high-quality educational material covering major scientific disciplines. The dataset appears to be a knowledge base or collection of scientific information, authored by Mel M. Schwartz, and sourced from the paperswithcode platform. The specific content, size, and update date are not detailed in the provided metadata.
AccessScience is an authoritative online resource containing educational material covering major scientific disciplines. The content is incisively written and high-quality, serving as a gateway to scientific knowledge. It is authored by Terry Tse and maintained by the AccessScience platform.