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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,520 datasets
Central South University in China is evaluated using a student-oriented emergency resilience framework. The dataset contains a five-dimension, 28-indicator system developed through interviews, thematic analysis, and surveys, with weights determined by integrating Analytic Hierarchy Process and coefficient of variation methods. Author Lei Li published the data on figshare under a CC-BY-4.0 license, last updated May 14, 2026.
A 12-item Doctoral Students’ Time Anxiety Scale was developed and validated using a sequential qualitative-quantitative mixed-methods approach. The scale measures three interconnected dimensions—affective anxiety, cognitive anxiety, and behavioral manifestations—affecting doctoral students' temporal experiences and academic performance. Jianyue Chen authored this instrument, which was last updated on 2026-05-14.
A 20.8 KB document contains qualitative interview data from a 2026 study exploring support mechanisms in experiential learning within tourism management education. The data was collected via semi-structured interviews with 10 teachers and 10 students from two universities in Jeollabuk-do, South Korea, and analyzed using constructivist grounded theory. The study was authored by Jingna Zhao and is licensed under CC-BY-4.0.
Jean E. Pretz authored a pilot study evaluating a creativity-infused version of a traditional college course. The study, published as a PDF on figshare, details specific creativity activities like the 'Minute Meme' and 'Innovative Illustration' assignment. Preliminary evidence from the small pilot suggests the intervention positively impacted students' self-efficacy and growth mindset regarding creativity.
A qualitative study grounded in Education for Sustainable Development (ESD) explores social support mechanisms in university physical education. The data comprises semi-structured interviews with 35 participants, including volleyball instructors, undergraduate students, and organizational stakeholders, analyzed via constructivist grounded theory. The study was authored by Huiteng Xu and last updated on May 14, 2026.
Michel A. Cara's dataset captures a six-week study of five advanced flute students (aged 21–26) from a Chilean university. It includes weekly student logbooks detailing their learning process and repeated self-report ratings of anxiety and self-confidence on a 1–10 scale. The data was collected in the Valparaíso Region, Chile, and last updated on figshare in May 2026.
A cross-sectional survey dataset of 600 valid questionnaires from medical students. The data examines factors associated with self-directed learning and AI-related behavioral intention using an integrated TAM-UTAUT2 model, analyzed via PLS-SEM. The dataset was authored by Jin Zhu and last updated in April 2026.
A cross-sectional survey of 600 medical students examining factors associated with self-directed learning and AI-related behavioral intention. The data was analyzed using partial least squares structural equation modeling (PLS-SEM) by author Jin Zhu and uploaded to figshare in April 2026. The study tests an integrated model combining self-directed learning dimensions with TAM and UTAUT2 constructs.
An online calculator developed by Kenneth Royal, PhD at North Carolina State University helps educators assess the statistical stability of student evaluation of teaching (SET) results. The tool computes a margin of error that accounts for score variation and smaller sample sizes typical in educational settings. It is based on research published in journals like Assessment & Evaluation in Higher Education and Medical Science Educator.
Baton Rouge City-Parish government records detail all purchase orders and contracts for goods and services from October 2017 onward. The dataset includes header information like total amount and department, plus line-item details for each procured item or service. Data is provided by the City-Parish of Baton Rouge via the data.brla.gov portal.
A list of completed Housing Needs Assessments (HNAs) confirmed by Housing, Infrastructure and Communities Canada (HICC), last updated on 2026-04-23. It tracks which Canadian communities with populations of 30,000 or greater, and all Territories, have completed the required assessment for federal funding eligibility. The dataset includes hyperlinks to publicly accessible assessments and identifies exempt communities.
96 animal records from a retrospective single-institution study at a university teaching hospital from January 2015 to August 2023. The dataset includes 81 dogs and 15 cats undergoing mechanical ventilation management, with an AKI incidence of 26%. Author Zhi H. Hsu published the data on figshare under a CC-BY-4.0 license.
A dataset of 1,916 hospitalized patients with type 2 diabetes mellitus, used to develop a machine learning model for early detection of occult diabetic kidney disease. The data includes 32 routine clinical variables, with model development and validation performed across two hospital cohorts. The dataset was uploaded by Mengyu Zhang in April 2026.
Haoran Zheng's 2026 mini-review synthesizes insights on transforming fashion and textile waste into resources. The work integrates education-focused discussions, community initiatives, and SME practices using a qualitative synthesis and case-based analysis approach. It focuses on the roles of Education for Sustainable Development (ESD), 3Rs solutions, and SME-led innovation in advancing circularity.
A 2026 Q-methodology study by Hıdır Polat examines the subjective perceptions of 25 academics from a Turkish state university regarding AI integration. The analysis of a 40-item Q-set identified three principal factors explaining 53% of the variance, representing cautious, techno-optimistic, and pessimistic viewpoints. The dataset includes the raw Q-sort data and analysis results.
A 2026 cross-sectional survey of 2,705 adults in Gaoping District, Sichuan Province, China, conducted by Lansicheng Yao. It includes assessments of neighborhood walkability, self-rated health, insomnia severity, and family functioning. The data was used to test a structural equation model examining relationships between community-built environment and health.
A dataset from a within-subjects study of 30 university students assessing creative performance after resistance training at three intensities. Creative performance was measured using the Alternate Uses Test (AUT), scoring fluency, flexibility, and novelty. The data was published by Jun Zhou on figshare under a CC-BY-4.0 license.
383 teaching and non-teaching staff across ten special schools in Tianjin, China responded to a 10-item questionnaire on AAC knowledge and training needs. Mengxuan Wu authored this survey, which was last updated in April 2026. Respondents reported limited knowledge of AAC, especially in low- and high-tech modalities, and expressed a strong desire for training.
Public Transport Accessibility Level (PTAL) scores for every Australian Bureau of Statistics Mesh Block in New South Wales, calculated by Transport for NSW. The model, adapted from Transport for London, produces scores from zero to six for each hour of the day based on walking distance, wait times, service frequency, and proximity to major stations. The data was last updated on 2026-04-15 and is provided in ArcGIS geodatabase format.
Results from an ablation experiment for the RL-DE algorithm, a reinforcement learning-controlled differential evolution method. The data, shared by Yang Cao on figshare, was last updated on May 13, 2026. The algorithm was evaluated on the CEC2017 benchmark test set and applied to a flexible job shop scheduling problem.