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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,688 datasets
56 teachers from primary through upper secondary levels in Sweden were surveyed, with seven semi-structured interviews and one focus group conducted. The data was collected by Ahmed Taiye Mohammed as part of the Erasmus+ Teacher Academy for AI Literacy project and was last updated on 2026-04-30. It assesses teachers' readiness to integrate AI into educational practice using a composite AI Readiness Index.
A report from the Erasmus+ Teacher Academy for AI Literacy project presents findings on Swedish teachers' readiness to integrate AI into education. The study draws on surveys from 56 teachers, seven interviews, and one focus group across primary through upper secondary levels. Authored by Ahmed Taiye Mohammed and last updated in April 2026, the report calculates an AI Readiness Index and identifies gaps between competence and institutional support.
Swedish national field research from the Erasmus+ Teacher Academy for AI Literacy project. The dataset likely contains survey and interview data from 56 teachers, seven interviews, and one focus group, assessing AI integration readiness across primary to upper secondary levels. It was authored by Ahmed Taiye Mohammed and last updated in April 2026.
56 teachers and seven interviews from primary through upper secondary levels in Sweden form the basis of this report on AI integration readiness. The composite AI Readiness Index shows Swedish teachers score 65/100 overall, with individual competence outpacing institutional support. Authored by Ahmed Taiye Mohammed and updated in April 2026, the report is shared under a CC-BY-4.0 license.
A 2026 report from the Erasmus+ Teacher Academy for AI Literacy project assesses Swedish teachers' readiness to integrate AI into education. The study draws on surveys from 56 teachers, seven interviews, and one focus group across primary to upper secondary levels, calculating a composite AI Readiness Index. Authored by Ahmed Taiye Mohammed, the report is shared as a PNG image file under a CC-BY-4.0 license.
56 Swedish teachers from primary through upper secondary levels participated in surveys, interviews, and a focus group assessing AI integration readiness. The report, authored by Ahmed Taiye Mohammed and published in April 2026, calculates a composite AI Readiness Index score of 65 out of 100. Key findings highlight a gap between conceptual awareness and applied confidence, and critically low school-level support scores of 2.61 out of 5.
A 2026 report from the Erasmus+ Teacher Academy for AI Literacy project assesses Swedish teachers' readiness to integrate AI into education. It is based on surveys from 56 teachers, seven interviews, and one focus group across primary to upper secondary levels. The author is Ahmed Taiye Mohammed, and the data is licensed under CC-BY-4.0.
Semantic_Network presents findings from the Swedish national field research for the Erasmus+ Teacher Academy for AI Literacy project. The report is based on surveys from 56 teachers, seven interviews, and one focus group across primary to upper secondary levels, assessing readiness to integrate AI into education. Authored by Ahmed Taiye Mohammed and last updated on 2026-04-30, the dataset is a 192.7 KB PNG file.
The Erasmus+ Teacher Academy for AI Literacy project report presents findings from a Swedish national field study. It assesses teacher readiness to integrate AI into education using a composite AI Readiness Index, drawing on surveys from 56 teachers, seven interviews, and one focus group. The report was authored by Ahmed Taiye Mohammed and last updated on April 30, 2026.
Swedish national field research from the Erasmus+ Teacher Academy for AI Literacy project. The dataset contains findings from a survey of 56 teachers, seven interviews, and one focus group, assessing AI integration readiness across primary to upper secondary levels. Authored by Ahmed Taiye Mohammed and last updated in April 2026, the report presents a composite AI Readiness Index and key findings on competence, support, and ethics.
56 teachers and seven interviews inform a Swedish national study on AI integration readiness. The report, authored by Ahmed Taiye Mohammed and updated in April 2026, finds an overall AI Readiness Index score of 65/100, with individual competence outpacing institutional support. Key findings highlight gaps between conceptual awareness and applied confidence, and critically low school-level support scores of 2.61/5.
Person_Correlation presents findings from the Swedish national field research of the Erasmus+ Teacher Academy for AI Literacy project. The dataset is based on surveys from 56 teachers, seven semi-structured interviews, and one focus group spanning primary through upper secondary levels. Authored by Ahmed Taiye Mohammed, the report was last updated on April 30, 2026.
A 2026 study by Phillip Sherlock investigates prenatal and postpartum depression using data from 8,936 mothers across 16 cohorts in the Environmental influences on Child Health Outcomes (ECHO) Cohort. The dataset likely contains contextual and risk factor data analyzed with a recursive partitioning algorithm (ctree) to identify heterogeneous subgroups. The findings emphasize that risk factors for perinatal depression are synergistic and context-dependent, with no simple univariate predictors.
A 20.9 KB document by Yali Wang, last updated on 2026-05-04, presents results from a Latent Profile Analysis (LPA) study. The study identifies four distinct parental attachment profiles based on anxiety and avoidance dimensions and examines their associations with parenting behaviors like acceptance and rejection.
Four distinct parental attachment profiles were identified using Latent Profile Analysis on anxiety and avoidance dimensions. The study, authored by Yali Wang and last updated in May 2026, found significant associations between these profiles and parental acceptance or rejection behaviors. No sex differences were observed in profile distribution or parenting patterns.
Yali Wang's 2026 study on figshare uses Latent Profile Analysis to identify four distinct parental attachment profiles based on anxiety and avoidance dimensions. The 23.3 KB document analyzes associations between these profiles and parenting behaviors like acceptance and rejection. The dataset is licensed under CC-BY-4.0.
Yuhe Wang's framework, last updated on 2026-05-29, structures competencies, artistic elements, and pedagogical technologies for art education. The dataset is a 23.0 KB XLSX file containing modules that map child developmental stages to required competencies and classify educational technologies. It is published under a CC-BY-4.0 license on figshare.
AIO-2025 Vietnamese ML/DS Dataset is a collection of multiple-choice questions for AI, Machine Learning, and Data Science education in Vietnamese. The dataset was created by author vudang449 and was last updated on June 12, 2026. It is hosted on the Hugging Face platform and can be loaded via its Python library.
An educational video from the Australian Ocean Data Network presents fossil shells from Woolshed Creek in Canberra and the Nullarbor Plain. The content explains how these fossils indicate the location of ancient oceans in Australia millions of years ago. The video was last updated on 2026-06-04.
A 20.5 KB structured synthesis table documents the literature review for the Integrative Love Character Building (ILCB) framework. Authored by Siti Masyithoh and last updated in May 2026, it compiles theoretical and methodological contributions related to Social and Emotional Learning, character education, spiritual values, and inclusive primary education. The dataset supports transparency in the conceptual integration process and contains no empirical or personal data.