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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,418 datasets
This replication package provides data and code for a study evaluating the causal effect of universal free meal programs on out-of-school suspensions in U.S. public schools. The analysis uses a difference-in-differences design to exploit staggered adoption of provisions like the Community Eligibility Provision.
This replication package provides data and code for a study evaluating the causal effect of universal free meal programs on out-of-school suspensions in U.S. public schools. The analysis uses a difference-in-differences design to exploit staggered adoption of provisions like the Community Eligibility Provision.
This longitudinal dataset represents over one thousand public middle and high schools in New York City from the 2011-12 to 2018-19 school years. It combines administrative and teacher survey data to examine relationships between teacher characteristics, perceptions of school climate, and suspension rates.
Comprising data from a six-week field experiment involving 169 parents with children in Head Start programs in Chicago. It compares parental reading engagement between an experimental group receiving behavioral nudges and a control group.
This dataset stems from two research projects, INROADS and INROADS-Alcohol, examining the intersection of substance use, addiction, and disability services. It focuses on people with disabilities, including subpopulations such as those with vision or hearing impairments, mobility impairment, acquired brain injury, intellectual and developmental disabilities, and serious mental illness. The research addresses opioid and alcohol use disorders within this population.
136 middle school students identified as gifted and talented in a suburban central Texas campus self-reported on their modes of self-expression through a written survey. The data captures student rankings across categories like Speaking, Appearance, and Other, with details on sharing opinions, clothing, and hobbies. The study was an exploratory action-research collaboration between the teacher-researcher and the 136 participants.
136 middle school students identified as gifted and talented in a suburban central Texas campus self-reported on their modes of expression through a written survey. The data captures student rankings of categories like 'Speaking', 'Appearance', and 'Other', with details on sharing opinions, clothing, and hobbies. Researcher A'ndrea Fisher conducted this exploratory action-research study to understand how gifted youth develop their voice.
Jan Sieber created this tutorial for teaching Numerical Methods and Introduction to Programming at the University of Exeter. It includes LaTeX source files and embedded Matlab code snippets designed for educational use.
Task Table30V2 Put The Pencil Case Into The Schoolbag is a dataset likely containing instructions for object manipulation tasks, published on the Hugging Face platform. The dataset was created by RoboChallenge and was last updated on April 8, 2026. The specific content, scale, and structure require verification after download.
Comprising fixel-based white matter metrics and language assessment scores for 21 children with developmental language disorder (DLD) and 21 typically developing children aged 8-13. It investigates relationships between fiber-specific metrics in language tracts and measures of overall language performance, vocabulary, and word learning.
The UK Cetacean Strandings Investigation Programme collected chemical analysis data from 163 stranded cetaceans (80 harbour porpoises and 83 common dolphins) along the UK coastline from July 1991 to December 2020. Data includes stranding location, post-mortem examination variables, and concentrations of trace elements and PCB congeners in tissues, generated as part of the ChemPop NERC grant. The programme is funded by Defra and the Devolved Administrations.
A dataset from the MLRR repository, originally sourced from an unknown author and date. It is hosted on the OpenML platform and relates to teaching assistants and student performance. The dataset is in the public domain under a US public domain license.
IBM Employee Attrition Data is a human resources analytics dataset originally sourced from Kaggle. It contains data on employees who stay and leave, including metrics such as education level, job satisfaction, and commute distance. The dataset was obtained from an IBM GitHub repository and is available under the Open Database License.
IBM Employee Attrition Data contains HR analytics data of employees who stay and leave. The dataset includes metrics such as education level, job satisfaction, and commute distance. It was obtained from Kaggle and is available under the Open Dataset License and Database Content License.
IBM Employee Attrition Data contains HR analytics metrics for employees who stay and leave. The dataset includes features such as education level, job satisfaction, and commute distance. It was sourced from Kaggle and is available under the Open Dataset License and Database Content License.
IBM employee attrition data sourced from Kaggle contains HR analytics data of employees that stay and leave. Metrics likely include education level, job satisfaction, and commute distance. The dataset was obtained from IBM's AI Fairness 360 repository and is available under the Open Dataset License and the Database Content License.
A dataset of employee records from IBM, sourced from Kaggle and available via GitHub. It contains metrics on employee retention, including education level, job satisfaction, and commute distance. The dataset is licensed under the Open Database License (ODbL-1.0).
IBM Employee Attrition Data contains HR analytics metrics for employees who stay and leave. The dataset includes features such as education level, job satisfaction, and commute distance. It was sourced from Kaggle and is available under the Open Database License.
15,000 FIFA20 video game players with over 15 features each, sourced from Sofifa.com. The dataset includes player images, positions, ages, and countries. It is intended for learning statistics, data analysis, and visualization.
16 columns of Airbnb listing data for Istanbul, Turkey, including latitude, longitude, and price. The dataset is intended for analyzing Airbnb usage patterns in Istanbul and can be used for regression tasks like price prediction. It is published under a CC0-1.0 license on the OpenML platform.