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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,896 datasets
241 software engineering students participated in an educational escape room study, with 140 in a remote group and 101 in a face-to-face group. The anonymized data supports the article 'Are Remote Educational Escape Rooms Designed During the Pandemic Useful in a Postpandemic Face-to-Face Setting?' published in 2023. The dataset was harvested by e-cienciaDatos and last updated in October 2025.
A survey dataset of 144 primary and secondary education teachers, collected by Juan Ignacio Pozo. It compares the use of digital technologies in classrooms during and after the COVID-19 school lockdown. The data was gathered via a questionnaire implemented at two time points to identify changes in teaching practices.
45 computer science students participated in a study comparing the effectiveness of different educational video game genres. The dataset contains pre-test and post-test scores, demographic data from 5 questionnaire items, and student perceptions from 10 items, including 9 Likert-scale and 1 open-ended response. Data was collected by Daniel López Fernández to support the article with DOI 10.1016/j.entcom.2023.100588 and was last updated on the platform in October 2025.
An experiment with 120 preservice teachers at Universidad Rey Juan Carlos in Madrid, Spain, tested a methodology using AI-generated contexts to teach robotics and improve Computational Thinking. The dataset likely contains results comparing an experimental group using AI assignments to a control group. The data was authored by Hijón-Neira, Raquel and last updated on October 14, 2025.
Data from 227 software engineering students, with 110 in a control group and 117 in an experimental group, collected for a study comparing a LEGO Serious Play activity to a traditional lecture. The dataset contains pre-test and post-test scores, calculated learning gain for each student, and results from a 9-item perceptions questionnaire. Daniel López Fernández authored the dataset, which was last updated on October 14, 2025.
37 computer science students participated in a case study on ChatGPT adoption for a database administration course. The dataset contains anonymized student grades and questionnaire results, supporting the article available on arXiv. The data was harvested by e-cienciaDatos and last updated in October 2025.
A 2025 survey of sixty Spanish startup executives subjected to hypothetical ethically charged decision-making situations. The dataset was created by Sergio A. Berumen using a mixed-method approach combining qualitative scenario construction and statistical analysis, including principal axis factoring and hierarchical clustering. Results confirm three distinct ethical profiles among the participants.
A dataset for GUI element grounding tasks, curated from five major GUI interaction sources: Aria-UI, OmniAct, Widget Caption, UI-Vision, and OS-Atlas. It was created by Salesforce and last updated on October 3, 2025. The dataset combines and standardizes annotations to provide diverse, well-annotated interface interactions.
GIS data supporting a multidisciplinary report on the Rio Grande riparian corridor. The dataset was produced by a team from the University of Texas at Austin, University of Texas-Pan American, and University of Texas at Brownsville, led by Principal Investigator Jay Raney. It was last updated in the repository on October 15, 2025.
2019 data from the Competency Evaluation of the Madrid Region, covering individualized assessment tests for all students in 6th and 10th grades from public schools. The data was provided by the government of the Community of Madrid and has been used in a published article evaluating the Madrid bilingual program's impact on academic outcomes.
A 17-item questionnaire (SRL-IBSL) designed to assess self-regulated learning strategies in primary school inquiry-based science learning. The instrument measures four key strategies: Time and Effort Planning, Activation of Prior Knowledge, Monitoring of Behavior, and Monitoring of Learning. Validation results support its internal structure and reliability.
U-Bench provides benchmarking results for 100 distinct variants of the U-Net architecture, released by FengheTan9 in October 2025. The data supports comparative research into how different architectural modifications impact model performance and efficiency.
Report Card English Learner Assessment data from the 2024-25 school year includes student proficiency counts disaggregated by school, district, and state levels. The dataset tracks student groups by grade level and contains columns for proficiency metrics and denominators. It is published by data.wa.gov and was last updated in September 2025.
6 research sites collaborated in the Early Learning Network to investigate policy impacts and early learning factors. This longitudinal study from 2016 to 2024 collected data from children, classrooms, teachers, and families using interviews, surveys, and observations. The record includes cross-site data gathered from observations and assessments.
58 county boundaries for California, derived from the US Census Bureau's TIGER/Line database. The features have been clipped to the coastal boundary line and designed to overlay with the California Department of Education's educational boundary layers.
Headcount Enrollment by Student Level and Student Load from the State University of New York provides annual counts of students by level and load status. The dataset covers the entire SUNY system from 1948 onward, aggregated by data.ny.gov. It was last updated in September 2025.
Berkeley, California property data detailing taxable square footage used to calculate voter-approved special assessments. The dataset is published by the City of Berkeley via data.cityofberkeley.info and was last updated in September 2025. It includes parcel identifiers, building and lot square footage, and address components.
LIMI is a dataset for training language models in tool use and agency, released by GAIR. The release includes training scripts for Qwen3 dense models of varying sizes. Its structure includes defined message schemas, tool definitions, and tool-call formats.
Stanford University and AMD_USAPDC research investigates massive phytoplankton blooms along the Australian-Antarctic Ridge, focusing on hydrothermal iron sources. The project combines satellite remote sensing with ship-based measurements and numerical modeling (CROCO) to study biological activity and carbon cycling. Data collection supports doctoral dissertations and was last updated in August 2025.
IF-RLVR training data contains instructions with up to 5 constraints per instruction. The constraints are sampled from IFEval (25) and IFBench-Train (29). The dataset was created by AllenAI and last updated on October 2, 2025.