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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,688 datasets
500 validation points were used to assess the accuracy of four major earth observation forest cover datasets in Paraguay, Zambia, and Zimbabwe. The analysis reveals significant discrepancies, with forest area estimates from other datasets deviating from Global Forest Watch by up to 70% in Zimbabwe. This assessment was conducted by Natasha Gapare and published in 2026.
A 2025 study evaluated a competitive tabletop exercise program for 90 nurses from 30 healthcare institutions in Anhui Province, China. Quantitative data from 85 participants includes scores from the Student Satisfaction and Self-Confidence in Learning Scale, Simulation Design Scale, Nursing Disaster Emergency Knowledge Scale, and Educational Practices Questionnaire. The dataset, authored by Bingbing Hu and shared under a CC-BY-4.0 license, assesses the program's effectiveness across four levels of the Kirkpatrick model.
A 2025 study collected quantitative and qualitative data from 90 nurses across 30 healthcare institutions in Anhui Province, China. The dataset likely contains survey responses from the Student Satisfaction and Self-Confidence in Learning Scale, Simulation Design Scale, Nursing Disaster Emergency Knowledge Scale, and Educational Practices Questionnaire. Author Bingbing Hu published the data on figshare in April 2026.
90 nurses from 30 healthcare institutions participated in a 270-minute competitive tabletop exercise program covering three disaster themes. Quantitative and qualitative data from 85 participants were collected using four validated scales and semi-structured interviews, evaluated via the Kirkpatrick model. The dataset, authored by Bingbing Hu and published in 2026, likely contains survey and interview results assessing the program's effectiveness.
A survey of 365 faculty members from two Chinese universities collected by Peng Sun. It measures behavioral intention and frequency of Generative AI use, predicted by task values, perceived costs, and self-efficacy. The data was last updated on 2026-04-24.
365 faculty members from two universities in China completed an online survey investigating their Generative AI use. The dataset likely contains survey responses measuring task values, perceived costs, self-efficacy, behavioral intention, and usage frequency. The data was uploaded by Peng Sun on figshare in April 2026 under a CC-BY-4.0 license.
A randomized controlled trial dataset evaluating a health education intervention for patients with pneumoconiosis. The study involved 120 patients over 12 weeks, measuring outcomes like health literacy scores and walking distance. The data was uploaded by Meirui Liu in April 2026.
Supplementary file 3_Digital affordances of AI chatbots in nursing education: a systematic review of learning gains and gaps in the evidence.docx is a 39.7 KB document authored by Shuling Wei, summarizing a systematic review of 25 studies. The review evaluates the digital affordances of AI chatbots in nursing education and their relationship to affective, behavioral, and cognitive learning gains. The file was last updated on April 24, 2026.
A systematic review document synthesizes evidence from 25 studies on the digital affordances of AI chatbots in nursing education. The document, authored by Shuling Wei, was last updated in April 2026. It analyzes the relationship between chatbot affordances and affective, behavioral, and cognitive learning gains.
Shuling Wei's dataset on figshare summarizes a systematic review of 25 studies evaluating digital affordances of AI chatbots in nursing education. The review, employing affordance theory and a taxonomy of learning gains, identifies affordances like assistance provision and personalization, while noting gaps in evidence for others like facilitation and privacy. The dataset was last updated on April 24, 2026.
Table 1_A 7-year longitudinal model of math and receptive vocabulary in primary school is a dataset by Carolina Álvarez, last updated in May 2026. It contains results from a structural equation modeling study of 3,757 Chilean children, tracking predictors from age 3 to age 11. The analysis investigates indirect paths linking early language skills, executive functions, and home learning materials to later academic outcomes.
A 366.2 KB Excel dataset on the reliability assessment of key equipment for coal gasification using artificial intelligence technology. The dataset was authored by Liping Wu and last updated on June 3, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
5.5 KB Excel file from figshare, published by Afua O. Asare and last updated on June 3, 2026. Descriptive characteristics of children completing school-based vision screening and the presence of a suspected eye disorder.
Supplementary data from a systematic review and meta-analysis comparing protein expression in cervical lesions. The 30.7 KB spreadsheet, authored by Ruxandra Maria Hurjui et al., was last updated on May 24, 2026. It likely contains extracted data on biomarkers p16, Ki-67, SOX17, and p53 from reviewed studies.
Department of Education funding data shows annual financial allocations from city and state sources. The dataset is updated annually and includes columns for SOURCE, AMOUNT, FISCAL YEAR, and ACTUAL/FORECAST. It is hosted by data.cityofnewyork.us and was last updated on 2026-05-15.
Nelly Acosta's dataset, last updated June 3, 2026, contains tables showing the language level of children aged 3 to 5 years across different dimensions of language. The 3.5 MB dataset is licensed under CC-BY-4.0 and originates from public early childhood education institutions in Ibarra, Ecuador.
14,082 emotional-speech clips annotated with facial animation data. Each clip contains two parallel 52-channel ARKit blendshape sequences generated by NVIDIA Audio2Face-3D-v2.3.1-James and LAM_Audio2Expression models, plus a 26-dimensional NVIDIA Audio2Emotion conditioning vector. The dataset was created by myned-ai and last updated on HuggingFace in June 2026.
Additional materials for a manuscript in preparation as part of a PhD dissertation. The collection includes XML, PNG, CSV, and XLSX files totaling 532.2 MB. It was authored by Anna Ortega, funded by the University of Western Australia and Upwell Turtles, and last updated on May 16, 2026.
A video flythrough visualizes gridded bathymetry data for key features of the Australian Margin. The data was sourced from Geoscience Australia and James Cook University. It covers areas including the Exmouth Plateau, Perth Canyon, Murray Canyons, NSW Slope, and the Great Barrier Reef.
Eastern Tasmania samples of the introduced New Zealand screwshell (Maoricolpus roseus) collected from Bass Strait, Maria Island, Pirates Bay and Dennes Point. The work examines utilization of this gastropod by native hermit crabs, with site location, date, depth, dredge opening size, shell measurements, and crab species, sex, and size recorded. The dataset is hosted by the Australian Ocean Data Network.