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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,520 datasets
34 scientists from nine countries collaborated in March 2025 for a biohackathon exploring machine learning for multimodal computational biology. Their projects, documented in a 7.9 MB PDF, focused on analyzing background genomic and environmental effects on complex traits. The work includes applications of clustering, gene-gene interaction studies, causal discovery in EHR data, and graph-based multiomics analysis.
338 human-validated assessment units from Group of Eight Australian universities form a gold standard for auditing AI vulnerability. This dataset includes a full classified corpus, an AI Vulnerability Index rubric, institutional policy coding, and a public LLM classification prompt template. It accompanies a forthcoming computational audit article by Gonzalo Villanueva.
Ida Laug's 2026 concept analysis clarifies the ambiguous construct of task persistence in educational research. The study reconstructs the concept from scholarly literature, identifying seven defining attributes of sustained engagement with challenging tasks. This 26.5 KB document provides a clearer basis for distinguishing task persistence from related constructs like grit and perseverance.
124 university lecturers in Indonesia participated in a mixed-methods study on readiness to facilitate Massive Open Online Courses. The dataset includes survey data and open-ended responses analyzed for pedagogical, social, communication, and technical competencies. The data was published by Sri Sediyaningsih under a CC-BY-4.0 license on figshare in May 2026.
226 Japanese preservice teachers engaged in mobile learning via an AI-powered app designed for memorization. The dataset likely contains data on daily app usage rates, academic test scores, and individual factors like procrastination and study habits, analyzed to examine their relationship. The data was uploaded by Hisaya Sudo in April 2026 under a CC-BY-4.0 license.
226 Japanese preservice teachers used an AI-powered mobile app for memorization tasks. Analysis shows a significant positive correlation (r_s=0.338, p<0.001) between daily app usage rates and scores on a foundational pedagogical knowledge test. The data, published by Hisaya Sudo in 2026, also identifies lower procrastination tendencies and established weekday study habits as predictors of higher engagement.
Japanese preservice teachers engaged in mobile learning via an AI-powered app designed for memorization. The dataset contains 226 records and analyzes the relationship between daily app usage rates and academic test scores on foundational pedagogical knowledge. It was authored by Hisaya Sudo and last updated on 2026-04 30.
A study of 226 Japanese preservice teachers in 2026 examined the relationship between mobile app-based learning and pedagogical knowledge test scores. The dataset, authored by Hisaya Sudo and shared under a CC-BY-4.0 license, likely contains metrics on app usage rates, test scores, and individual factors like procrastination and study habits.
A retrospective cohort study of 644 controlled ovarian stimulation cycles from a tertiary reproductive center, analyzing the association between dexamethasone initiation timing and live birth outcomes. The dataset was created by Ling Zhang and last updated on May 13, 2026. It includes cycles classified by DXM timing and analyzes ovarian response, embryo development, and pregnancy outcomes.
A retrospective cohort study of 644 controlled ovarian stimulation cycles at a tertiary reproductive center, analyzing the association between dexamethasone timing and live birth rates. The dataset was created by Ling Zhang and last updated on 2026-05-13. It includes cycles classified by DXM initiation timing and analyzes ovarian response, embryo development, and pregnancy outcomes.
2,168 rows of Japanese-English parallel text curated for educational and academic domains. The dataset was created by filtering, clustering, and translating a subset of the FineWeb2-Edu-Japanese dataset using Google Translate. It was authored by agentlans and last updated on June 3, 2026.
Seven West African Economic and Monetary Union (WAEMU) countries are covered in this panel dataset from 1999 to 2022. The data, compiled by Hamidou Ouedraogo, aggregates information on public expenditures in health and education and their effects on human development indicators. Variables are sourced from three major institutional databases: UNDP, WDI, and WGI.
Registrations for Canada School of Public Service learning activities are tracked by title, code, delivery type, duration, region of offering, and learner's work region. The dataset is published by the Canada School of Public Service and was last updated on May 12, 2026. It likely contains detailed records of government employee training participation across fiscal years.
Tommaso Mario Buonocore released novel unpublished datasets of five-choice questions from Italian national pre-university and post-university medical exams, covering clinical and preclinical fields. The datasets were used to evaluate multilingual and Italian-specific large language models in the healthcare domain. The data was last updated on figshare in April 2026.
A deep learning model achieved 96% classification accuracy across three abundance classes for tall fescue. The dataset supports research into automating forage management and assessing endophyte-related toxicity risk for livestock. It was created by Ross E. Binkley and last updated in April 2026.
Yiming Xing's qualitative study examines stakeholder perspectives on emotion-oriented play-learning tools for autistic children. The dataset includes interview data from 30 parents and teachers across China and Malaysia, analyzed via reflexive thematic analysis. The work was published on figshare in 2026.
48 peer-reviewed papers published between 2021 and 2025 form this structured open-data resource on strategic entrepreneurship. The dataset was developed by Ridha Ramadhani via a Scopus-based systematic literature review following the PRISMA protocol. It includes a mapping document of critical success factors and a CSV file of reviewed publications.
A questionnaire survey of 374 pupils and 90 teachers in the Slovak Republic's dual education system, conducted by Peter BreΔka. The data, last updated in 2026, assesses the quality of Occupational Safety and Health (OSH) training, covering attitudes, proficiency, and demographic differences.
Over 250 community members participated in 11 meetings, generating more than 200 action items organized into 20 themes. The data results from a community-based participatory research (CBPR) study focused on family resilience and well-being, authored by Eva Purkey and last updated in May 2026. The action items were developed through a team-based adaptation of reflexive thematic analysis techniques.
A prospective cohort study of 49 fetuses with mild or moderate left-sided congenital diaphragmatic hernia evaluated between 2012 and 2018. It measures fetal right pulmonary artery parameters across gestational ages and associates them with postnatal ductus arteriosus flow and clinical outcomes. The dataset was published on figshare under a CC-BY-4.0 license.