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Dataset results
106 results for “Educational dataset”
Dataset: Cultural Openness and desire to learn regarding language education: systematic review
<p>Documental Dataset belonging to the Conference presentation titled:</p> <div> <p><strong>Cultural Openness and desire to learn regarding language education: systematic review. </strong></p> <p>The complete reference is: Peña-Acuña, B. (2024). Cultural Openness and desire to learn regarding language education: systematic review The thirty first international Conference of Learning. Utrech, The Netherlands. July 2024. </p> </div>
Dataset for BPM2024, Educators Forum: Comprehension of (business) process models via tokens: an eye-tracking approach
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Dataset "How Does Education Quality Affect Economic Growth?"
<p>Dataset and do files used in "How Does Education Quality Affect Economic Growth?" paper.</p>
GenAI in L2 Writing Education Dataset
<p>This dataset contains 21 empirical studies collected in May 2024 that explore the application of Generative AI (GenAI) in writing education within second language (L2) contexts. All studies are written in English, have full-text availability, and provide insights into the impact and effectiveness of applying GenAI to L2 writing education.</p>
Dataset for "Open Educational Resources for distributed hands-on teaching in molecular biology"
<p>This is the raw data for an article that describes novel OER consisting of low cost and locally produced public domain biological reagents, open source hardware and free software collaborative notebooks to teach LAMP DNA amplification, RT-PCR RNA detection, enzyme kinetics and fluorescence imaging. </p>
Dataset of paper about library and Islamic education in early childhood
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Dataset for CIIE 2018 folio number 2018062802133: A Computational Literature Review of Educational Innovation
<p>Dataset for CIIE 2018 folio number 2018062802133: A Computational Literature Review of Educational Innovation</p>
Dataset: Stunting and Its Association with Education and Cognitive Outcomes in Adulthood: A Longitudinal Study in Indonesia
<p>Abstract</p> <p>Stunting is associated with adverse outcomes in adulthood. This article specifically aims to analyse the relationship between childhood stunting and education as well as cognitive outcomes for adults in Indonesia. Pooled data from two waves of the Indonesia Family Life Survey in 1993 and 1997, identified 4851 children aged 0-5 by their stunting status as well as their relative height to be compared for their differences in educational outcomes and cognitive abilities in 2014. Height-for-age z-score was used to proxy relative height and determine stunting status based on 2006 WHO child’s growth standards. The outcomes for education and cognitive abilities include educational levels, years of schooling, age of school entry, failing a grade, and scores for cognitive tests. The study employs estimation models of pooled regressions and instrumental variables. Stunting and relatively small stature had a significant association with cognitive development, and they worked as an intermediary to cognitive developmental barriers manifested in reduced educational outcomes. A lack of one SD in height-for-age was associated with a 0.125-point reduction in education level, 0.4 years shortened length of the school, 6% higher chances of failing grades and dropouts from secondary school, and 0.19-0.24 SD lowered cognitive and numerical scores. Similarly, stunting tends to decrease cognitive test scores by 0.56-0.8 SD compared to non-stunting and reduce educational achievement by 0.38 points, 1.4 years shorter schooling, 17.7% and 23% more likely to fail grades. In addition, HAZ and stunting are also associated with the school entry age of 0.35 and 0.11 years, respectively.</p>
"Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape". Study Dataset
<p>Study Dataset for the research work: "Eco-social education for trainee teachers. Reflections on international mirror-classes in landscape"</p>
Does educating children improve household wealth in the developing world? More evidence from the Young Lives dataset
<p>This dataset is the source data for which the above paper derives its results. Current working paper version</p>
Small educational datasets
<p>Small example datasets, with cut-down size and simplified labels, for educational purposes</p>
Dataset of the study "Bridging cultural studies and learning science: An investigation of social media use for Holocaust memory and education in the digital age"
<p>This Zenodo item contains the dataset of the study: Manca, S. (2020). “Bridging cultural studies and learning science: An investigation of social media use for Holocaust memory and education in the digital age".</p> <p>Abstract</p> <p>Along with advances in communication technology that are making new forms of historical memorialization and education available, social media are researched as valuable tools for supporting forms of digital memory and for engaging students and teachers about historical knowledge and moral education. This study aims to map the current state of Holocaust remembrance and Holocaust education and to identify main topics of research in the two areas. It adopts a mixed-method approach that combines qualitative analysis with bibliometric approaches to review publications that use social media for digital memory and history education about the Holocaust. Results based on 28 publications reveal several research topics and that, despite some common theoretical references, the two subfields mostly rely on separate conceptual backgrounds. While Holocaust remembrance is a well-established research field, there are few studies and a lack of theoretical elaboration about social media use for teaching and learning about the Holocaust.</p>
Dataset of Learning Designer Roles in Irish Higher Education 2020
<p>Dataset of Learning Designer Roles in Irish Higher Education 2020</p>
Starting Dataset: CIIE 2018 folio number 2018062802133: A Computational Literature Review of Educational Innovation
<p>Preliminary data set</p>
Science Education Research Topic Modeling Dataset
<p>This dataset contains scraped and processed text from roughly 100 years of articles published in the Wiley journal <em>Science Education </em>(formerly <em>General Science Quarterly</em>). This text has been cleaned and filtered in preparation for analysis using natural language processing techniques, particularly topic modeling with <a href="https://dl.acm.org/doi/10.5555/944919.944937">latent Dirichlet allocation</a> (LDA). We also include a Jupyter Notebook illustrating how one can use LDA to analyze this dataset and extract latent topics from it, as well as analyze the rise and fall of those topics over the history of the journal.</p> <p>The articles were downloaded and scraped in December of 2019. Only non-duplicate articles with a listed author (according to the <a href="https://www.crossref.org/">CrossRef metadata</a> database) were included, and due to missing data and text recognition issues we excluded all articles published prior to 1922. This resulted in 5577 articles in total being included in the dataset. The text of these articles was then cleaned in the following way:</p> <ul> <li>We removed duplicated text from each article: prior to 1969, articles in the journal were published in a magazine format in which the end of one article and the beginning of the next would share the same page, so we developed an automated detection of article beginnings and endings that was able to remove any duplicate text.</li> <li>We removed the reference sections of the articles, as well headings (in all caps) such as “ABSTRACT”.</li> <li>We reunited any partial words that were separated due to line breaks, text recognition issues, or British vs. American spellings (for example converting “per cent” to “percent”) </li> <li>We removed all numbers, symbols, special characters, and punctuation, and lowercased all words.</li> <li>We removed all <em>stop words</em>, which are words without any semantic meaning on their own—“the”, “in,” “if”, “and”, “but”, etc.—and all single-letter words.</li> <li>We lemmatized all words, with the added step of including a part-of-speech tagger so our algorithm would only aggregate and lemmatize words from the same part of speech (e.g., nouns vs. verbs).</li> <li>We detected and create <em>bi-grams</em>, sets of words that frequently co-occur and carry additional meaning together. These words were combined with an underscore: for example, “problem_solving” and “high_school”.</li> </ul> <p>After filtering, each document was then turned into a list of individual words (or tokens) which were then collected and saved (using the python pickle format) into the file scied_words_bigrams_V5.pkl.</p> <p>In addition to this file, we have also included the following files:</p> <ol> <li>SciEd_paper_names_weights.pkl: A file containing limited metadata (title, author, year published, and DOI) for each of the papers, in the same order as they appear within the main datafile. This file also includes the weights assigned by an LDA model used to analyze the data</li> <li>Science Education LDA Notebook.ipynb: A notebook file that replicates our LDA analysis, with a written explanation of all of the steps and suggestions on how to explore the results.</li> <li>Supporting files for the notebook. These include the requirements, the README, a helper script with functions for plotting that were too long to include in the notebook, and two HTML graphs that are embedded into the notebook. </li> </ol> <p>This dataset is shared under the terms of the <a href="https://olabout.wiley.com/WileyCDA/Section/id-826542.html">Wiley Text and Data Mining Agreement,</a> which allows users to share text and data mining output for non-commercial research purposes. Any questions or comments can be directed to Tor Ole Odden, t.o.odden@fys.uio.no.</p>
Mentorship Education and the Training Environment_Dataset_Suiter et.al.
<p>We here provide the dataset used in the manuscript titled "Mentorship Education and the Training Environment"</p>
One year dataset of an education modular building
<p>We propose a dataset representing the physical behavior (indoor/outdoor physico-chemical parameters and systems operating conditions) of a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 m²); a IT room named Bell (8.7 m²); an office named Nobel2 (8.7m²); a technical room named Local_tech and a hall distributed on the 2 levels. Data comes from a network of more than 150 sensors and actuators.</p> <p>The dataset is composed of 13 csv tables including physical indoor and outdoor parameters (temperature, humidity, particle concentration, radiation…), total electric consumption of the building, state and operating data of all systems (heat pump, CMV, shutters, windows…). Data were recorded during 1 year between the 1st of June 2023 and the 31 of May 2024. A redme.xlsx file and a map of the building helps to understand each table.</p>
Dataset to aid educators in using Generative AI in software design
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Leveraging data to support young people's education and wellbeing dataset
<p>The dataset contains deidentified and aggragated linked student wellbeing data collected between 2014 - 2022 across South Australia, Tasmania, and the Australian Capital Territory. Data is from students from Years 4-12. All data is aggragated by Statistical Area, data collection year, and student year level. This data utilises linkage to sociodemographic and cultural characteristics, academic achievement, enrolment and attendance to allow researchers to explore wellbeing in multiple dimensions. </p><p>Data is available via the Department for Education SA website. Registration is required prior to accessing this dataset.</p><p>https://www.education.sa.gov.au/department/research-and-statistics/conducting-research/fraser-mustard-centre/fraser-mustard-centre-research-projects/leveraging-data-to-support-young-peoples-education-and-wellbeing</p><p> </p>
Roles and Current Challenges of Peer Educators in delivering HIV/AIDS-related services in Vietnam: a dataset
<p>The file contains raw data from a survey on the roles of peer educators (PE) in delivering HIV/AIDS services in Vietnam. The study was conducted in seven large provinces in Vietnam from December 2021 to March 2022. An online cross-sectional survey was administered to 63 health staff and 147 PEs to collect quantitative data on PEs’ roles.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.