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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,418 datasets
Aggregating research findings from a project analyzing creative maker-centered learning and pedagogical practices in primary and secondary schools. The project developed scientific knowledge on accessible educational practices to cultivate learners' creativity and innovation capabilities. It generated actionable pedagogical models applicable across educational levels.
Showcasing a structured analysis of ten European Union-funded projects selected for their relevance to STEAM education. It includes comparative insights across four dimensions: spatial configuration, art and science integration, and links to the SENSE methodology. The dataset was created for the SENSE project deliverable report 3.4.
Featuring quantitative data from a study assessing the khat and vegetable trade in northern Madagascar. It includes daily income diaries from sellers in Diego-Suarez across dry and rainy seasons, and aggregated municipal financial data from Joffre-ville and Antsalaka for 2019–2023.
LLM DoS Backdoor Unlearning Benchmark is a dataset hosted on Kaggle. Its title suggests it contains data for evaluating the security and robustness of large language models against specific adversarial attacks. The dataset's specific contents, size, and authorship are not detailed in the provided metadata.
The dataset lists school districts and schools receiving funds under Section 1003 of the Every Student Succeeds Act (ESSA) from the 2018-19 school year onward. It details the amount of funds each school received and the types of strategies implemented using these funds. The data is provided by the State of Washington.
Survey data from the Monitoring the Future project at the University of Michigan focuses on technology use among U.S. high school students. The dataset includes variables for technology use, such as PC and video game usage, and academic performance measured by GPA. Its primary inspiration is to investigate the potential effect of technology use on student grades.
Harriet Tubman Underground Railroad National Historical Park natural resource data is a geospatial dataset from a 2019 Natural Resource Condition Assessment (NPS/HATU/NRR—2019/1897). The park is located in Dorchester, Caroline, and Talbot counties on Maryland's Eastern Shore and includes a 480-acre Jacob Jackson site, parts of Blackwater National Wildlife Refuge, a state park, and private land. The dataset was last updated on 2026-03-04.
MM 2019/W46: Youth and Adult Literacy Rates is a dataset published on Kaggle. The title suggests it contains statistics on literacy rates among youth and adult populations. The specific source, time coverage, and data collection method are not provided in the available metadata.
MM 2020/W37 is a dataset about the school workforce in England, published on Kaggle. The title suggests it likely contains statistics on teachers and staff for the year 2020. Specific details such as column definitions, data size, and the original publisher are unknown.
Four ships collected daily radiosonde observations during the Barbados Oceanographic and Meteorological Experiment (BOMEX) from May to September 1969. Florida State University gathered this atmospheric profile data over the tropical Atlantic Ocean. The dataset captures a specific five-month field campaign from the late 1960s.
MM 2024/W39: Literacy rate is a dataset published on Kaggle. The title suggests it contains data on literacy rates, likely for various regions or demographics. The dataset's specific scope, source, and time period are not detailed in the available metadata.
Kaggle hosts a dataset related to the book 'The Hundred-Page Machine Learning Book'. The dataset likely contains text and code examples from the educational resource. Its specific contents, such as chapters or exercises, require verification after download.
Racoon Source School Foundation P100 Profile01 is a dataset published on Kaggle. Its title suggests it contains profile information for schools or educational foundations. The specific content, scale, and origin of the data require verification after download.
Kaggle hosts a dataset for analyzing the impact of different learning modes on student outcomes. The dataset's author, organization, and specific size are unknown. Its last update date is also unspecified.
Dive into Deep Learning is an open-source interactive textbook for deep learning. Published on Kaggle, this resource likely contains the full textbook content in PDF format. The textbook is known for its hands-on approach, integrating Jupyter notebooks with conceptual explanations.
Kaggle hosts a dataset titled 'teacher_coach-ai.csv'. The title suggests it contains information related to teaching, coaching, and artificial intelligence. The dataset's specific content, size, and origin are not detailed in the available metadata.
Kaggle hosts this dataset focused on AI-assisted student learning. The dataset's specific content, size, and creation details are not provided in the metadata. Its columns likely contain information related to educational interactions or student performance metrics.
SDG 4 AI Student Learning Assistant Dataset likely contains information related to educational technology and student support systems. It is published on Kaggle, but the author, organization, and specific data details are unknown. The dataset's content and scale must be verified after download.
Anonymised responses from two surveys conducted in autumn 2014 to inform future delivery of education and skills services. The dataset captures public and school stakeholder feedback for the London Borough of Barnet.
Data on the majority provider of dementia carer training and education, categorized as a Non-Governmental Organization. The dataset originates from the World Health Organization's Global Health Observatory. Specific details on the number of records, temporal coverage, and data collection methodology are not provided.