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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,503 datasets
Finnish universities provided the context for a survey on workload determination practices in higher education. The dataset contains survey responses from teachers and students at two universities, exploring their views on how course workload is estimated. The data was authored by Jarkko Impola and last updated in May 2026.
Zaynab Bouhioui's review analyzes 25 publications on hydrological drought research from 2000 to 2024, with a focus on Africa. The work was sourced from Web of Science and Scopus and manually coded for methodology, geography, and institutional context. It highlights differences in scientific output and methodological diversity between Africa and other regions.
Pseudo-observation datasets generated across six sites representing rice production environments in Asia. The data supports the calibration and evaluation of the Local Optimization Global Optimization (LOGO) framework for crop models. The dataset was authored by Shinwoo Hyun and last updated in May 2026.
MassCore completion rates track the number and percentage of Massachusetts public high school graduates who completed the state-recommended college and career readiness curriculum each year since 2009. The dataset is published by the Massachusetts Department of Elementary and Secondary Education (DESE) via the Socrata platform. It was last updated on May 8, 2026.
An integrated undergraduate laboratory sequence details the extraction of trans-anethole from star anise and its use in synthesizing 3,5-diarylisoxazolines. The 13.4 MB dataset includes procedures and characterization data from proton and carbon-13 NMR, FTIR, HRMS, and SC-XRD analysis. It was authored by Itamar Luís Gonçalves and last updated on 2026-05-21.
Saudi Arabian schools are the focus of this study examining 26 drivers of cooling system failures across five project life cycle phases. The data was generated by author Mohammad A. Hassanain via a questionnaire survey of 90 stakeholders, including HVAC designers and facilities managers, and was last updated in May 2026. It uses an integrated Relative Importance Index and Interpretive Structural Modelling method to rank drivers and model their interrelationships.
Javier Castillo's research dataset analyzes the causal effect of interviewer-rated skin color on years of schooling across 18 Latin American countries. It contains data from 23,163 respondents in the 2016–2017 AmericasBarometer surveys, analyzed using a Double/Debiased Machine Learning design. The dataset was last updated on 2026-05-19.
The Port Fairy Local Coastal Hazard Assessment provides inundation extent data for the Port Fairy coastal environment. This specific layer models a 100-year Average Recurrence Interval ocean boundary condition combined with a 0.4-meter sea level rise projected for the year 2050. The data was produced by the Department of Energy, Environment and Climate Action and last updated on April 9, 2026.
Illinois public school data from 2008 to 2019, including test scores, student disciplinary reports, and Fresh Fruit and Vegetable Program (FFVP) funding grants. The 2.0 GB dataset was compiled by Jenni Putz from the Illinois State Board of Education Report Card and FFVP Reports, last updated in May 2026.
A prospective observational trial of 30 healthy adults assessed by musculoskeletal ultrasound at baseline, immediately post-run, and 24 hours post-run. The dataset, created by Jakub Jačisko and last updated in 2026, records binary fluid presence in four anatomical sites bilaterally. Results show significant delayed fluid increases in the ankle region 24 hours after a 5-km run.
Wenbin Yao's research proposes a lane-changing risk assessment model that incorporates driving-behavior uncertainty. The model is evaluated using lane-changing samples extracted from the NGSIM and highD datasets. Results indicate the model performs better than four common benchmarks at identifying instantaneous risks and predicting following vehicle deceleration.
A mixed-methods study comparing art comprehension pathways between art and non-art majors among college students. The research employed semi-structured interviews and thematic analysis to develop a quantitative scale, followed by multi-group path analysis across four scenarios. The dataset, authored by Shaowen Wang and last updated in May 2026, is a 36.5 KB supplementary document describing the study's model and findings.
Estuary Drainage Catchments are hydrological boundaries for catchments draining to estuaries in New South Wales, Australia. The dataset includes line and polygon feature classes digitized from 1:25,000 topographic maps and coastline layers for the Stressed Rivers Assessments. It is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated in May 2026.
Port Fairy, Australia, is the study area for this coastal hazard assessment. The dataset models the inundation extent resulting from combined ocean and catchment flooding under specific future conditions. It was published by the Department of Energy, Environment and Climate Action and last updated on April 9, 2026.
52 independent studies provide coded variables and effect sizes on how Generative AI feedback shapes human-AI interactions in higher education. Data was systematically extracted from academic databases following PRISMA guidelines, covering variables like intervention duration, course type, and interaction mode. Shengwu Pan published this dataset on figshare in April 2026.
A real-life case study involving 24 students evaluated by multiple stakeholder groups, including peer teams, instructors, and industry experts. The data-driven framework integrates Multi-Criteria Group Decision Making and Z-number theory to capture uncertainty in expert evaluations. Authored by Limin Yu and last updated on 2026-05-18, this 5.5 KB Excel file is shared under a CC-BY-4.0 license.
A study by Limin Yu proposes a data-driven framework for curriculum assessment in Problem-Based Learning environments. The dataset, last updated in May 2026, contains evaluation data from a real-life case study involving 24 students assessed by peer teams, instructors, and industry experts. The framework integrates Z-number theory and a hybrid Entropy-CRITIC weighting scheme to handle uncertainty in expert judgments.
24 student evaluation records from a Problem-Based Learning course, assessed by peer teams, instructors, and industry experts. The dataset, created by Limin Yu and last updated in May 2026, applies a Z-number-based Multi-Criteria Group Decision Making framework to model uncertainty in grading. It is stored in an XLS file sized 5.5 KB.
A dataset containing final Z-MABAC scores and rankings for 24 students evaluated in a Problem-Based Learning course. The data was generated by Limin Yu using a multi-criteria group decision-making framework that incorporates Z-number theory to handle uncertainty in expert evaluations. The dataset was last updated on May 18, 2026.
A randomized controlled trial of 26 elite male Sanda athletes assessed the effects of a 12-week Integrative Neuromuscular Training program. The dataset likely contains pre- and post-intervention measurements for tests including one-repetition maximum, 30-meter sprint, counter movement jump, reaction agility, and Y balance. The data was authored by Zhenxing Li and shared on figshare under a CC-BY-4.0 license.