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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,882 datasets
36 semi-structured interviews with Chinese consumers who purchased or needed customized furniture between February and April 2022. Researchers from Nanjing Forestry University developed a 4E interview-grounded theory model to explore demand factors across essential information, information extraction, user experience, and product expectation dimensions. The study included participants aged 20-55, with half male and half female respondents.
1,201 questionnaire responses and 175 simulation session records from a study examining how students judge online information credibility. The mixed-methods research by Tara Cataldo captured real-time judgments from K-12 and higher education students using simulated search engine results pages. Data includes think-aloud transcripts, task decisions, and click data from participants across six educational stages.
Conversations with a custom GPT assistant named 'GamifIcA Edu' were systematically validated across five distinct educational scenarios. The dataset likely contains the natural language interactions from four different tests per scenario, representing varied learning contexts across multiple academic disciplines. This work by López Galisteo, Antonio Julio was harvested on October 14, 2025.
Twenty commercial multigrain cereal-based baby products purchased between 2016 and 2024 were analyzed for tropane alkaloids. The dataset likely contains measurements of atropine and scopolamine concentrations, validated using a UHPLC-TQ-MS/MS method with specific quantification limits. The data was contributed by authors Vera Baquero and Fernando Leonardo.
A dataset uploaded on 2025-10-24 by an author named Coraxor. It appears to be a benchmark dataset for evaluating AI models, as suggested by the title 'Ivebench' and the academic affiliations listed in the description. The dataset is hosted on Hugging Face.
Borras-Gene, Oriol's dataset contains research outcomes from a study on integrating flipped classroom and gamification via digital badges in teacher training. The data likely includes final evaluation scores, video-watching activity, completed tasks, and final test results for 63 first-year Early Childhood Education students at Universidad Rey Juan Carlos. The dataset was last updated on October 21, 2025.
A multi-wave study from 2019 collected survey data from 504 youth athletes across 17 high schools in Taiwan. Participants, with a mean age of 15.29 years, completed questionnaires on general and sports-specific gratitude over six semesters. The dataset was created by author Chen, Lung Hung and is hosted on the Dataverse platform.
Chicago Public Schools District provides a list of its educational unit locations for the 2023-2024 school year. The dataset is published by data.cityofchicago.org and was last updated in September 2025. It includes spatial coordinates and basic school information.
A collection of the entire written texts produced by informants in two metaphor elicitation studies. The main study involved Norwegian upper secondary students over a semester, with a second study involving Finnish college students via an online survey, with data collected at two time points in each study. The dataset includes elicited metaphors, justifications, and supplementary materials like consent forms and interview guides.
Chicago Public Schools organizes its district-run elementary schools into 13 Geographic Networks for administrative support. The dataset provides spatial and tabular information for these networks, sourced from data.cityofchicago.org and last updated in September 2025. It includes network identifiers, contact information, and geographic boundaries.
Explosion AI released these machine learning dataset loaders in late 2025 to facilitate testing and example scripts. The collection focuses on providing programmatic access to datasets for use with the Thinc and spaCy ecosystems. It serves as a utility for developers to quickly load benchmark data into functional deep learning pipelines.
Graduation rates for first-time, full-time students entering SUNY institutions in Fall 2000 are provided. The data includes rates for completion within four, five, and six years, broken down by campus and institution sector. It is published by data.ny.gov and was last updated on September 22, 2025.
Chicago Public Schools provides geospatial attendance boundaries for its high schools for the 2024-2025 school year. The dataset, maintained by data.cityofchicago.org, was last updated in September 2025. It includes geographic polygons and associated school information.
Daily-updated data tracks Automated Traffic Enforcement (ATE) camera locations and violation issuances in the District of Columbia. The dataset includes camera statuses like Configuration, Live, Warning, and Idle, and covers violations for speed, stop signs, red lights, and truck restrictions. Data is managed by the DC Department of Motor Vehicles and validated by legal examiners, though there may be a one-month reporting delay.
BirkhoffG developed this utility to provide PyTorch-like dataloading for JAX, with the most recent update in December 2025. It enables the ingestion of data from 3 major backends—PyTorch, TensorFlow, and Hugging Face—into JAX-compatible iterators.
Listing of licensed automobile dealers and repairers, updated nightly by data.ct.gov. The data includes distinctions between official business names and Doing-Business-As names via the DBA Indicator field. It was last updated on September 26, 2025.
A study at Rey Juan Carlos University and Atlantic Technological University Galway measured computational thinking ability among computer science students. The research introduces UniCTCheck, a method using the CTScore web application and CTProg psychometric scale to evaluate seven core computational thinking components and six programming concept skills. The dataset likely contains assessment results from a diverse sample of students across different year levels and specializations.
Supplementary material for the article 'A Comparison of the Usefulness of Game-Based Learning and Video-Based Learning for Teaching Software Engineering in Online Environments' with DOI 10.1109/FIE58773.2023.10343449. The dataset contains anonymized records for 193 software engineering students, split into a control group of 45 using video-based learning and an experimental group of 148 using game-based learning. Data includes pre-test and post-test scores, learning gains, age, gender, a 9-item perceptions questionnaire, and student comments in Spanish.
59 software engineering students participated in a study comparing two methods for learning Scrum. The dataset contains pre-test and post-test scores, learning performance, age, gender, and results from an 18-item perceptions questionnaire for each student. This data supports the article 'Examining and Comparing the Effectiveness of Virtual Reality Serious Games and LEGO Serious Play for Learning Scrum' published in 2024.
Data from 78 software engineering students collected for the article "Learning and Motivational Impact of Using a Virtual Reality Serious Video Game to Learn Scrum". The dataset contains pre-test and post-test scores, learning gain calculations, and questionnaire results on student perceptions, split across two course groups. The data was anonymized and published by López Fernández, Daniel via the e-cienciaDatos Harvested Dataverse platform.