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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,894 datasets
Updated in December 2025, this GitHub repository by pankajsingh016 provides a collection of datasets and algorithms for machine learning education. It utilizes Python 3 and scikit-learn to facilitate a learning path from basic to advanced AI/ML concepts, though specific record counts are not documented.
A large refined medical dataset derived from internet sources, created by researchers from Moffitt Cancer Center and the University of California San Francisco. The dataset page was last updated on October 22, 2025.
Data from an experiment by Briana Sealey on foraging risk-assessments in the Jamaican fruit-eating bat, Artibeus jamaicensis. The study manipulated ambient light levels and predator cues across multiple foraging trials to measure feeding latencies. The data repository is available from the Texas Data Repository via Dataverse to support reproducible research.
6.4K examples train sentence transformers to predict Applicant Tracking System compatibility scores. The dataset, created by author 0xnbk and last updated on October 14, 2025, is designed to measure semantic alignment between candidate resumes and job requirements. It includes 5.1K training and 1.3K other examples.
NSF COLDEX MARFA ice penetrating radar data provides an example line processed for azimuthal information about radar echoes. The data were pulse compressed and transformed to azimuth angles, with slices at -19°, +19°, and nadir selected to form RGB images for analyzing englacial reflectors and scattering. The dataset was authored by Duncan Young and last updated on October 15, 2025.
A global dataset containing information from vulnerability assessments of Learning Management Systems (LMS), both open-source and proprietary, used for online education. The analysis focuses on identifying security risks, implementation failures, and vulnerabilities to common cyberattacks like code injection and outdated components. The dataset was authored by San Cristóbal Ruiz, Elio and last updated on October 14, 2025.
Spain-based survey of 348 trainee teachers in pre-primary and primary education during the 2021–2022 academic year. The dataset, authored by Mañoso-Pacheco, Lidia, captures perceptions and usage of inclusive language in academic contexts via a 12-item questionnaire. It aims to analyze acceptance levels and investigate correlations with the language of instruction (Spanish vs. English).
An experiment by Almudena Macías Guillen, harvested from e-cienciaDatos, describes an Educational Hall Escape activity applied to undergraduate business economy students. The study, last updated in October 2025, analyzes the method's influence on learning processes, emotions, and motivation using an exam and a Gamefulquest survey. Results indicate the activity was perceived as a game and improved motivation, though academic results remained steady.
Franco's Spain is the focus of this database, which comprises the examination of censors' reports on 22 main works by author Stephen D. Frances, published between 1952 and 1970. The data was created as part of the research project 'The Reception of English Fiction in Twentieth-century Spain: Editions, Criticism and Censorship', funded by the Spanish Ministry of Education. The dataset was last updated on October 14, 2025.
A 2025 study of 93 sixth-grade students across four primary schools, authored by Jose Manuel Sáez-López, investigates the impact of visual programming and robotics on learning. The research employed a quasi-experimental design with descriptive analysis and participant observation. It reports statistically significant improvements in students' understanding of mathematical concepts and acquisition of computational concepts.
85 secondary education students aged 12-13 participated in a quasi-experimental study comparing Scratch to a 3D robotics platform. A validated 28-item Computational Thinking test measured pre- and post-intervention scores for concepts like directions, loops, and conditionals. The dataset, authored by Luis Castro-San Martin and harvested from Dataverse, was last updated in October 2025.
A 2025 study from two Spanish public universities analyzes the performance and attitudes of future primary education teachers towards programming. The research uses a quasi-experimental design with a test and three scales, employing Student's t-test and Wilcoxon test for statistical inference. The dataset likely contains descriptive and inferential statistics on teacher improvement in coding skills and attitudes after an intervention combining block-based (Scratch) and text-based (Unity/C#) programming.
Navio Marco, Julio's pilot study dataset contains responses from 27 students enrolled in the 'Curricular Practices' business internship subject during the 2021/22 academic year. The data assesses student interest in professional boundary-crossing and the transition from hybrid academic studies to the workplace. It was harvested from dataverse and last updated on October 14,我们发现2025.
A dataset for training the UI-S1-7B model, which advances GUI automation via semi-online reinforcement learning. The dataset was created by mPLUG and was last updated on Hugging Face in October 2025. Its specific size, format, and structure are not detailed in the provided metadata.
A subset of collection records from Chris Jiggins' research group at the University of Cambridge, covering nearly 20 years of field studies. This subset contains approximately 36,189 RGB images of 11,962 specimens, with many records having both images and locality data. The dataset was authored by imageomics and last updated on the platform in October 2025.
CodeR-Pile contains between 1 million and 10 million synthetic records designed for training generalist code embedding models. Released by nebula2025 in 2025, the data supports code retrieval tasks through massive synthesis of text and code pairs in English and Chinese.
2024-2025 and 2018-2019 school years of standardized test results from Washington State, disaggregated by school, district, and state levels. The dataset includes student performance percentages and counts, broken down by grade level, gender, race/ethnicity, and special program participation. Columns such as 'PercentLevel4' and 'Count Foundational Grade-Level Knowledge And Above' track proficiency against state standards.
Headcount enrollment data tracks students across all State University of New York campuses starting in Fall 2011. It categorizes students by level (Undergraduate/Graduate) and load status (full-time/part-time) per institution. The dataset is published by data.ny.gov and was last updated in September 2025.
Observation data from 12 monitoring networks including AERONET, AQS, CASTNET, and IMPROVE have been made available for the years 2000 through 2024 from the CMAS Center Data Warehouse. The dataset includes NetCDF files of hourly observed values from AQS for creating overlays in VERDI visualization software. It was harvested by ODUM and last updated on October 12, 2025.
Degrees and formal awards granted by campuses within the State University of New York system. The dataset tracks counts for Associate's, Bachelor's, Master's, Doctoral, and Certificate awards annually, beginning with the 2002-2003 academic year. It is published by data.ny.gov and was last updated in September 2025.