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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,490 datasets
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.
A dataset tracking the adoption of artificial intelligence in education, EdTech developments, and related policy trends worldwide. The data covers the period from 2015 to 2026. The original author and specific collection methodology are not provided in the input metadata.
Teacherv1 is a dataset published on Kaggle. The title suggests it contains information related to teachers or education. The dataset's specific content, size, and origin are not detailed in the provided metadata.
The Historically Black College and University Campus Sexual Assault (HBCU-CSA) Study documents the prevalence, context, and consequences of sexual assault. The study was conducted by Christopher Krebs of RTI International via a web survey in the fall of 2008. It includes responses from 3,951 undergraduate women and 88 campus staff across four institutions.
Monthly U.S. highway fatality data from 1970 to 1979 was analyzed by Pamela R. Johnson to estimate the life-saving impact of the 55 mph National Maximum Speed Limit (NMSL). The analysis uses a time series model relating fatalities to vehicle miles traveled, safety improvements, and the NMSL law. The report concludes that erosion of speed limit compliance in 1977-1978 contributed to subsequent fatality increases.
SHAP (SHapley Additive exPlanations) values likely quantify feature contributions to predictions in deep learning models. The dataset is hosted on Kaggle, but its specific source, size, and creation date are unknown. Columns suggest it contains calculated SHAP values and associated model features.
Student performance prediction data published on Kaggle. The dataset likely contains features related to academic outcomes. Its specific size, columns, and provenance are unknown.
Delaware's Department of Education tracks annual counts of students receiving in-school suspensions, out-of-school suspensions, or expulsions. The data includes enrollment figures and calculates disciplinary incident percentages, broken down by race, gender, grade, and district. It is published by data.delaware.gov and was last updated in January 2026.
The dataset covers the Hellenistic philosophical era, which dominated the Greco-Roman world from c.300 BC to the mid-first century BC. It includes doctrinal philosophies such as Stoicism and Epicureanism, as well as the emergence of skepticism. The central issues of debate documented likely include the nature and origin of the world, the means to attaining truth, and the ethical goal.
Source File for TBML is a dataset supporting a hybrid machine learning framework for detecting trade-based money laundering. The dataset's author, size, and specific contents are not detailed in the provided metadata. It is hosted on the Kaggle platform.
Events hosted by the Chicago Public Library, sourced from the City of Chicago. The dataset lists only upcoming events and was last updated in March 2026.
Student performance data from a university, sourced from the Kaggle platform. The dataset likely contains academic records, though specific columns and the number of rows are unknown. Its author, organization, and last update date are not provided.
A cleaned dataset with features ready for churn prediction, exploratory data analysis, and modeling. The dataset is hosted on Kaggle, but specific details about its size, origin, and creation date are not provided. Its primary purpose is to support machine learning tasks related to customer retention.
October 2015 onward data tracks pupil eligibility for Free School Meals in Calderdale secondary schools, including academies and local authority-maintained institutions. The dataset is derived from the termly school census, with a missing entry for May 2020 due to a government cancellation during the Covid-19 pandemic.