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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,466 datasets
Interview transcripts from eight teachers exploring the integration of immersive virtual reality in primary education. The dataset was created by Ashwaq Munif Almutairi and last updated on 2026-05-21. It combines qualitative thematic analysis with a quantitative summary of thematic prevalence.
Eight primary school teachers provided interview transcripts on integrating immersive virtual reality into their classrooms. The data was analyzed using a thematic-quantitative reanalysis workflow to explore pedagogical approaches and perceived impacts. Authored by Ashwaq Munif Almutairi and last updated in May 2026.
327 English major undergraduates were surveyed between March and April 2025. The dataset contains responses to validated scales measuring professional identity, academic engagement, core self-evaluation, and critical thinking. It was published by Bihan Lei on figshare under a CC-BY-4.0 license.
72 primary and secondary school teachers in England responded to an online survey in 2026, capturing quantitative and qualitative data on their experiences delivering the new Relationships and Sex Education (RSE) curriculum. The study, authored by Claire Fox, investigates variability in teacher confidence, access to resources, and support from schools and parents. Thematic Framework Analysis was applied to open-ended responses to identify key challenges and suggestions for improvement.
Innovation, Science and Economic Development Canada (ISED) provides the Algorithmic Impact Assessment results for its automated Non-Competitive Local Licensing process. This dataset details the assessment of an automated system that streamlines applications, verifies eligibility, and checks spectrum availability for 5G and beyond. It supports transparency in a government process designed to help small operators access wireless spectrum.
587 participants from a Brazilian training studio between 2018 and 2024 provide data on exercise program dropout. Mean participation was 13.8 months, with a 12-month survival rate of 51.7%. The dataset, by Carlos Eduardo Rosa da Silva, analyzes predictors like sex, BMI, and exercise goals using survival analysis and decision-tree models.
A 2025 cross-sectional study of 1,299 junior high school students (aged 11–16 years) in Shanghai, China, investigating the association between high-sugar and high-fat dietary patterns and acne vulgaris. The dataset was created by Ruiqi Cai and published on figshare in 2026. It includes a constructed Dietary Exposure Index (DEI) and results from questionnaires and clinical skin examinations.
Supplementary file 1_Fail, flip, fix, feed: impact on engagement and learning outcomes.pdf contains data from a study on flipped classrooms and productive failure in secondary mathematics. The dataset, authored by Richard Conrardy and published on figshare under CC-BY-4.0, includes results from 221 students aged 12–16 across 12 classes in Switzerland. It was last updated on 2026-05-08.
126 treatment-seeking individuals with Alcohol Use Disorder (AUD) wore Philips Respironics Actiwatches for up to 7 days inpatient and 4 weeks outpatient to study circadian rhythm dysregulation. The final cohort included 103 participants for outpatient analysis, with 25.2% relapsing during the study period. Results indicate a moderate decrease in hourly intradaily variability and a later wake time of about 1 hour following relapse.
341 Canadian diabetes nutrition therapy resources were identified in a mini-review, including 46 professional- and 295 patient-facing documents. The dataset was created by Olivia Y. Wu and last updated on May 15, 2026. It contains extracted information on each resource's cultural specificity, language availability, year, publisher, format, and contents.
625 undergraduate medical students from five Palestinian universities participated in a cross-sectional survey assessing research knowledge, attitudes, barriers, and practices. The data, collected via a structured questionnaire and analyzed with IBM SPSS, shows 49.1% of students had poor research knowledge, 45.9% participated in research, and 74.9% had never published. The dataset was authored by Azzam Zrineh and last updated in May 2026.
58 to 60 undergraduate engineering students participated in a study evaluating a structured Project-Based Learning framework. Data includes pre- and post-intervention Likert-scale survey responses and rubric-based project evaluations by domain experts. The dataset, authored by Varsha S. Pawar and shared under CC-BY-4.0, shows mean scores increased from 3.4 to 4.5 following the PBL intervention.
A sample of 216 undergraduate students from southern China participated in a two-stage longitudinal study on computational thinking and artificial intelligence literacy. The dataset, created by Qiuyu Li and last updated in May 2026, includes results from structural equation modeling and paired-sample t-tests. It tracks the evolution of these two competencies over time.
A land-grant university study surveyed 535 alumni to inform differentiated curriculum design for data analytics in Food, Agriculture, Natural Resources, and Human Sciences. The research used clustering and text mining to identify two distinct learner groups with different needs and tool preferences. The dataset, created by Zhihong Xu and last updated in May 2026, contains analysis results from this mixed-methods investigation.
A dataset of 216 undergraduate students from southern China, tracking the relationship between computational thinking and artificial intelligence literacy over time. The data was collected by researcher Qiuyu Li and analyzed using structural equation modeling and paired-sample t-tests. It was last updated on 2026-05-27 and is shared under a CC-BY-4.0 license.
A longitudinal dataset from a study of 216 undergraduate students in southern China, tracking the relationship between computational thinking and artificial intelligence literacy. The data was collected in two stages and analyzed using structural equation modeling (SEM-PLS) and paired-sample t-tests. The study found a significant positive effect of computational thinking on AI literacy and that both competencies improved over time.
535 alumni survey responses from a land-grant university were analyzed to inform differentiated curriculum design for data analytics in Food, Agriculture, Natural Resources, and Human Sciences. Clustering analysis revealed two distinct learner groups: younger professionals emphasizing technical proficiency and older professionals prioritizing strategic competencies. The dataset, created by Zhihong Xu and last updated in May 2026, contains descriptive statistics from this mixed-methods study.
A two-stage longitudinal study tracked 216 undergraduate students from southern China. The dataset, created by Qiuyu Li and last updated in 2026, contains results from structural equation modeling and paired-sample t-tests. It was used to analyze the relationship between computational thinking and artificial intelligence literacy over time.
535 alumni survey responses from a land-grant university were analyzed to differentiate data analytics curriculum needs. Clustering analysis identified two distinct learner groups: younger professionals prioritizing technical proficiency and older professionals emphasizing strategic competencies. The dataset, created by Zhihong Xu and last updated in May 2026, contains text mining results on word usage patterns across curriculum dimensions.
535 survey responses from alumni of a land-grant university, collected to investigate learner needs for data analytics curricula in Food, Agriculture, Natural Resources, and Human Sciences. The dataset was created by Zhihong Xu and last updated on 2026-05-27. It includes quantitative and qualitative data used to identify distinct learner subgroups based on demographic and linguistic differences.