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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,454 datasets
A systematic scoping review of 42 studies published between 2020 and 2024, identifying factors related to PhD completion, dropout, and attrition. The review was conducted by Kjersti Velde Helgøy and includes 58 full-text assessments from an initial pool of 6927 records. It identifies three overarching categories of factors: candidate characteristics, institutional factors, and supervisory characteristics.
42 studies published between 2020 and 2024 were analyzed in a systematic scoping review of PhD completion factors. The review, conducted by Kjersti Velde Helgøy, identified candidate, institutional, and supervisory characteristics as key themes. It synthesizes findings from 6927 records screened from ERIC, Web of Science, and Scopus.
A 2020-2024 systematic scoping review of 42 studies examining factors related to PhD completion, dropout, and attrition. The review, authored by Kjersti Velde Helgøy, analyzed 6927 records from ERIC, Web of Science, and Scopus to identify key factors across candidate, supervisory, and institutional categories. It is available as a 40.8 KB DOCX file under a CC-BY-4.0 license.
557 parents, predominantly mothers (94%), of 6-year-old preschoolers in Russia reported on their play beliefs, their child's requests for play, and their own childhood experiences. The data likely contains survey responses from the Parent Play Beliefs Scale (PPBS) and related family factor indicators. It was uploaded by Margarita Gavrilova in May 2026 under a CC-BY-4.0 license.
Survey data from 557 parents in Russia examines associations between parental play beliefs, family socio-demographics, and parent-reported indicators of parent-child play. The dataset includes responses to the Parent Play Beliefs Scale (PPBS), frequency and duration of child's play requests, and parental retrospective childhood experiences. It was authored by Margarita Gavrilova and last updated in May 2026.
A cohort-sequential study of 1,021 adolescents (52.20% female, 71.36% White non-Hispanic) with a mean starting age of 12.22 years. The dataset, authored by Amy M. Loviska, examines longitudinal associations between the proportion of other-sex close friends and alcohol use across six timepoints. It was last updated on 2026-05-28.
Northumberland County Council's Open Space Assessment 2026 provides a current assessment of publicly accessible green areas in Northumberland. The dataset likely contains spatial data on parks, play areas, allotments, and natural spaces to support planning and community health. It was last updated on June 3, 2026.
Survey data from 421 university students on their intention to continue using online learning platforms. The data was analyzed using five comparative machine learning models, including BiLSTM-Attention and Random Forest. The dataset was authored by Yizhen Wang and last updated on June 2, 2026.
Thirteen distinct functional trajectory clusters derived from 1.3 million Activities of Daily Living assessments. The dataset was created by Ghazal Khalili and published on figshare in May 2026. It results from a hybrid trajectory clustering framework applied to longitudinal data from U.S. Veterans Affairs nursing homes.
1.3 million Activities of Daily Living assessments from 265,530 U.S. Veterans Affairs nursing home residents were analyzed to identify 13 distinct functional trajectory clusters. The dataset, created by Ghazal Khalili and last updated in 2026, summarizes these clusters and their association with mortality risk. The highest-risk cluster showed approximately 48% cumulative mortality within the first year.
Multiple spatial layers from the Port Phillip Bay Coastal Hazard Assessment model storm tide inundation, erosion, and groundwater hazards. The dataset includes extents for a 1% Annual Exceedance Probability event combined with sea level rise scenarios ranging from 0m to 1.4m. The Department of Energy, Environment and Climate Action published this data, which was last updated in April 2026.
A 2021-2022 desktop scoping study from the NESP Marine and Coastal Hub engaged stakeholders from academic research, government, water utilities, and NGOs. The project delivered a risk-based framework for prioritizing research on contaminants of emerging concern in Australia's marine ecosystems. No raw data outputs were generated; the primary output is a final written project report.
Trace data from students using the FLoRA Engine during a two-week assignment in an Introduction to Data Science course at an Australian university. The dataset includes detailed chat logs with generative AI and comparisons between high- and low-performing students. It was authored by Xinyu Li and published on figshare in 2026.
A 2025 systematic review synthesizes findings from 15 empirical studies published between 2016 and 2025, encompassing 9,847 students across 12 countries. The study, authored by Jorge Vinueza-Martínez and shared under a CC-BY-4.0 license, hierarchizes determinants of e-learning service quality predicting student satisfaction in public universities. It employs a quantitative synthesis of standardized regression coefficients (β) following PRISMA 2020 and SWiM guidelines.
A systematic review hierarchizes determinants of e-learning service quality predicting student satisfaction in public universities. The analysis synthesizes 15 empirical studies from 2016 to 2025, encompassing 9,847 students across 12 countries. Author Jorge Vinueza-Martínez published the review in June 2025.
436 primary school students in Mardin, Turkey, participated in a survey for this mixed-methods study. The dataset includes quantitative survey results and qualitative teacher interview analyses, authored by Kayhan Bozgün and last updated in June 2026. It investigates the mediating role of anxiety between writing motivation and self-efficacy.
894 undergraduate medical students from two universities in Guangxi, China, participated in a cross-sectional survey from October to November 2024. The study, authored by Lulin Chen and shared under a CC-BY-4.0 license, measured perceived AI knowledge, attitudes, and practices using a 5-point Likert scale. Results indicated moderate perceived knowledge and positive attitudes, but low levels of AI practice, with significant barriers identified.
34 student participants were randomly assigned to work individually or in pairs through a bespoke Disease Diagnostic VR simulation focusing on quantitative Polymerase Chain Reaction. The dataset likely contains pre- and post-activity questionnaire results measuring learning, engagement, and confidence, collected by Claire Donald and published on figshare in 2026. This pilot study investigated the integration of peer-to-peer learning strategies within a virtual reality lesson in higher education.
A 2026 mixed-methods study by Nourah Ibrahim Albash investigates psychological hardiness among deaf and hard-of-hearing female students in Saudi Arabia. Quantitative data from 69 students and qualitative interviews with 25 participants reveal a moderate overall hardiness level and identify influencing factors and enhancement strategies. The dataset includes the study's findings and analysis in a DOCX file.
Supplementary research data from a mixed-methods study of psychological hardiness among 69 deaf and hard-of-hearing female students in Saudi Arabia. Quantitative survey data and qualitative interview data from 25 participants were collected and analyzed by researcher Nourah Ibrahim Albash. The dataset was last updated on 2026-05-26.