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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,890 datasets
144 healthcare workers in Lebanon participated in a 2018 intervention study evaluating training workshops on HIV and STIs. HIV knowledge scores increased by 37.5% post-intervention, while STI knowledge scores rose by 29.7%. The study, authored by Ismaël Maatouk of Lankenau Medical Center, also measured stigma and found differences in outcomes between urban and rural areas.
A case study dataset from the Family Health Center of the JPS Health Network tracks changes in health system utilization by new refugee patients from 2016 to 2017. The data illustrates the application of Complex Adaptive System principles to quality improvement in primary care. The author is Richard A. Young of the Smith Family organization.
A fundamental study by AMM Sharif Ullah of Kitami Institute of Technology addressing the articulation of knowledge for Industry 4.0. The work reviews definitions from epistemology, engineering design, manufacturing, organization science, information science, and education science. It proposes a definition of knowledge based on claim, provenance, and inference, resulting in four types of knowledge exemplified with real-life scenarios and represented via knowledge graphs.
Numerical simulation data supports a manuscript on data-driven seismic damage assessment of tunnel lining structures. The dataset is 239.4 MB and was authored by Chenyang Xiang. It was last updated on May 8, 2026.
Peril matrices detailing relative changes in tropical cyclone parameters under current and future climate regimes. The output is from a collaboration between DIICCSRTE, Geoscience Australia, PCRAFI, and AIR Worldwide, extending previous risk assessments by incorporating climate change influence. The relative changes are evaluated as fractional differences between current and future climate GCM simulations for parameters like frequency, intensity, and genesis latitude.
Rust-Coder is a text dataset containing 12,000 unique samples for learning the Rust programming language. Each sample includes an instruction prompt, an idiomatic code snippet, and a detailed explanation, categorized by high-level Rust concepts. The dataset was created by Convence and last updated on May 23, 2026.
A snapshot dataset from the UK Government Digital Service measuring the percentage of secondary schools where 25% or more of their places are unfilled. The data is provided in CSV format under an Open Government Licence (OGL-UK-3.0). Its specific temporal and geographic coverage is not detailed in the available metadata.
Inspections conducted by the New York City Department of Consumer and Worker Protection (DCWP) for consumer protection, licensing, and workplace law enforcement. The dataset includes columns for Business Name, DBA/Trade Name, Inspection Type, Status, and geospatial identifiers like BIN, BBL, Latitude, and Longitude. Data is hosted by data.cityofnewyork.us and was last updated on 2026-04-03.
Field observations from the 1960 season document the Mesozoic strata of the Bauhinia Downs 1:250,000 Sheet area. The data includes lithological and palaeogeographical observations, with fossil collections from fourteen localities. Results were published by Skwarko (1961a, b) and provide material for dating strata from the Neocomian to Aptian stages of the Lower Cretaceous.
High school students monitored stem circumference changes of mature trees around four schoolyards during the extreme drought year of 2024-2025. The dataset includes eucalypt, pine, and cypress trees and is complemented by long-term monitoring from two additional forest sites. It was authored by Tamir Klein and published on figshare in 2026.
Geoscience Australia Data provides a geological record of Lower Cretaceous strata from the Calvert Hills 1:250,000 sheet area. The data is based on field observations of lithologies and fossil collections made during the 1961 field season. The record suggests sediments were deposited in distinct environments at three different times in the Lower Cretaceous.
78 pre-service elementary teachers' pretest and posttest scores and qualitative conception levels from a 2025/2026 academic year study. Henni Riyanti published the dataset on figshare in April 2026. The embedded experimental design involved an experimental group of 39 students and a control group of 39 students.
Sibilla Montanari's mixed-methods study integrates quantitative survey data and qualitative interviews from five case studies in the Veneto region of Italy. The research examines flexibility as a transformative competence for sustainable development in Small and Medium-sized Enterprises. The dataset, last updated in April 2026, is a 685.2 KB document licensed under CC-BY-4.0.
Panying Rong's study dataset includes 104 oral diadochokinetic recordings from 16 individuals with ALS and 10 healthy controls. The data was collected to translate surface electromyography into an objective clinical assessment tool. The dataset was last updated on April 10, 2026.
A two-wave survey conducted over 1 month with 331 Japanese first-year university and vocational school students. The data includes validated questionnaire responses measuring expectancy, task value, cost, and achievement goals. The dataset was authored by Issei Manabe and last updated in April 2026.
Chinese college students participated in a study on foreign language speaking anxiety and oral proficiency. The research employed a two-phase mixed-methods design, including large-scale surveys (n = 1,044 and n = 209) and a 16-week pilot intervention with 13 participants. The dataset, authored by Fangli Zhang and last updated in April 2026, is a 75.8 KB PDF containing the study's results and analysis.
Data Sheet 1 contains research data from a study integrating appreciative education with AI-assisted oral training for sustainable English as a Foreign Language learning. The dataset includes results from a two-phase mixed-methods study involving surveys of 1,044 and 209 students and a 16-week pilot intervention with 13 participants. The data was authored by Fangli Zhang and last updated on 2026-04-10.
A research paper presents a 16-week pilot intervention study with 13 participants, integrating appreciative education with AI-assisted oral training. The study employed a two-phase mixed-methods design, including large-scale surveys (n = 1,044 for anxiety; n = 209 for needs). Author Fangli Zhang published the paper on figshare in April 2026 under a CC-BY-4.0 license.
A 16-week pilot intervention with 13 participants demonstrated statistically significant improvements in IELTS speaking scores (p = 0.005) and reduced speaking anxiety (p < 0.001). This dataset, authored by Fangli Zhang and last updated in April 2026, contains research on a blended pedagogical model integrating appreciative education with AI-assisted oral training for Chinese college EFL learners.
A 16-week pilot intervention with 13 participants assessed a blended pedagogical model integrating appreciative education with AI-assisted oral training. The study, authored by Fangli Zhang and last updated in April 2026, reported statistically significant improvements in IELTS speaking scores and a marked reduction in speaking anxiety among Chinese college freshmen. The underlying data is presented in a 78.5 KB PDF file.