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5,141 results for “Educators”

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zenodo32/100

Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at

<p>Bei&nbsp;diesem Datensatz handelt es sich um die Datenbasis f&uuml;r die Masterarbeit mit dem Titel &quot;Educational Social Software in der Bildungspraxis &ndash; Eine empirische Studie am Beispiel von Mahara.at&quot;.</p> <p>Es ist ein&nbsp;&nbsp;Dump einer PostgreSQL-Datenbank&nbsp;im Plain-Text-Format, der von einer aktiven Mahara-Instanz gezogen wurde.</p>

opencc-by-4.0May 2020View details →
dryad32/100

The impact of learning modality on team-based learning (TBL) outcomes in anatomical sciences education

<p>Team-based learning (TBL) is an instructional methodology that has been increasingly used in anatomy and physiology education in recent years. The appropriateness of TBL methods for students with diverse preferred sensory learning modalities has not been adequately examined. This study aimed to show the influence of students preferred sensory modality for learning on TBL and traditional academic outcome measures (tests, assignments, etc.). 157 American undergraduate Communication Sciences and Disorders students taking anatomy and physiology courses took the VARK, a questionnaire quantifying their preferred learning modality. These students traditional and TBL measures of academic success were compared by preferred learning modality. A one-way MANOVA failed to find any difference in TBL or other academic outcomes by preferred learning modality (<em>p</em> = .252). The results of this study support the effectiveness of TBL methods for undergraduate students regardless of what sensory mode they prefer to receive information</p>

opencc-zeroDec 2019View details →
zenodo32/100

Annotated educational videos and subtitles (EDUVSUM)

<p>We have collected educational videos with subtitles from three popular e-learning platforms: Edx,YouTube, and TIB AV-Portal that cover the following topics: crash course on history of science and engineering, computer science, python and web programming, machine learning and computer vision, Internet of things (IoT), and software engineering. In total, the current version of the dataset contains 98 videos with ground truth values annotated by a user with an academic background in computer science.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Cite our work in order to use the resources (<a href="https://arxiv.org/abs/2010.13626">https://arxiv.org/abs/2010.13626</a> )</p> <p><a href="https://github.com/VideoAnalysis/EDUVSUM">https://github.com/VideoAnalysis/EDUVSUM</a></p> <p><a href="https://github.com/VideoAnalysis/VideoAnnotationTool">https://github.com/VideoAnalysis/VideoAnnotationTool</a></p> <p>&nbsp;</p> <pre><code>@article{ghauri2020eduvsum,     title={Classification of Important Segments in Educational Videos using Multimodal Features},    author={Ghauri, Junaid Ahmed and Hakimov, Sherzod and Ewerth, Ralph},     Conference={International Workshop on Investigating Learning During Web Search (IWILDS 2020) co-located with CIKM},     year={2020}  }</code></pre> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo32/100

FlossSearch.Edu: Selecting FLOSS Projects for Software Engineering Education

<p>FlossSearch.Edu is a tool designed to support teachers and students in the search and selection of FLOSS projects according to technical and social criteria. It aims to reduce the effort of teachers and students in the selection of projects, assists in saving the research history and also in the evaluation of the selected projects. FlossSearch.Edu is the first tool that provides these resources in the context of software engineering education. FlossSearch.Edu has been used by teachers and students, and most of them have found the tool to be useful and intend to use it in the future.</p>

opencc-by-4.0Oct 2020View details →
zenodo32/100

OUC educational offer

<p>A csv dataset with online educational offer from UOC (Universitat Oberta de Catalunya).<br> This dataset has been automatically collected from open public info published in OUC&#39;s website, by webscraping techniques.</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Higher Education Research: A Compilation of Journals and Abstracts 2015

<p>Revised dataset to original publication:</p> <p>Hertwig, Alexandra (2017): Higher Education Research: A Compilation of Journals and Abstracts 2015. Kassel: INCHER-Kassel. <a href="http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Publikationen/Compilation2015.pdf">http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Publikationen/Compilation2015.pdf</a> (accessed November 04, 2020)</p> <p>Datasets to volume 2013 to 2018 might vary with regard to covered journals of the original publication. The datasets include journals and respective publication data providing persistent identifiers, explicitly.</p> <p>The Research Information Service (RIS) of INCHER-Kassel, Germany provides annual compilation of academic journals since 2013. The datasets allow for further evaluation of single or multiple volumes. For more information on original publications and available datasets please visit INCHER&rsquo;s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Higher Education Research: A Compilation of Journals and Abstracts 2017

<p>Revised dataset to original publication:</p> <p>Hertwig, Alexandra (2018): Higher Education Research: A Compilation of Journals and Abstracts 2017. Kassel: INCHER-Kassel. <a href="http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Aktuelles/Compilation2017_neu.pdf">http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Aktuelles/Compilation2017_neu.pdf</a> (accessed November 04, 2020)</p> <p>Datasets to volume 2013 to 2018 might vary with regard to covered journals of the original publication. The datasets include journals and respective publication data providing persistent identifiers, explicitly.</p> <p>The Research Information Service (RIS) of INCHER-Kassel, Germany provides annual compilation of academic journals since 2013. The datasets allow for further evaluation of single or multiple volumes. For more information on original publications and available datasets please visit INCHER&rsquo;s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Higher Education Research: A Compilation of Journals and Abstracts 2018

<p>Revised dataset to original publication:</p> <p>Hertwig, Alexandra (2019): Higher Education Research: A Compilation of Journals and Abstracts 2018. Kassel: INCHER-Kassel. DOI: 10.17906/INCHER.0004.</p> <p>Datasets to volume 2013 to 2018 might vary with regard to covered journals of the original publication. The datasets include journals and respective publication data providing persistent identifiers, explicitly.</p> <p>The Research Information Service (RIS) of INCHER-Kassel, Germany provides annual compilation of academic journals since 2013. The datasets allow for further evaluation of single or multiple volumes. For more information on original publications and available datasets please visit INCHER&rsquo;s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Higher Education Research: A Compilation of Journals and Abstracts 2019

<p>Dataset to original publication:</p> <p>Hertwig, Alexandra (2020): Higher Education Research. A Compilation of Journals and Abstracts 2019. Kassel: INCHER-Kassel. DOI: 10.17170/kobra-202010292027.</p> <p>The Research Information Service (RIS) of INCHER-Kassel, Germany provides annual compilation of academic journals since 2013. This useful information tool for researchers also provides as a &ldquo;side effect&rdquo; an overview of the current topics of higher education research. The datasets allow for further evaluation of single or multiple volumes. For more information on original publications and available datasets please visit INCHER&rsquo;s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>

opencc-by-4.0Nov 2020View details →
dryad32/100

Latent but not absent: the 'long tail' nature of rural special education and its dynamic correction mechanism

The 'long tail' nature of rural special education (RSE) suggests that it simultaneously possesses the private nature of discreteness and the public nature of externalities, which can easily cause provision insufficiency. However, this mismatch may have a dynamic intertemporal correction mechanism impacted by different expenditures of supply sectors (governments and other social sectors). This paper uses different models and data from 30 provinces in China from 2003-2014 to analyze this dynamic correction mechanism. This research finds that different kinds of expenditures from different suppliers have divergent effects on this correction. Capital expenses (especially infrastructure construction) have significantly positive effects on the correction, but administrative expenses have significant dual effects on the correction. These effects may be caused by the various governance efficiencies and motivations of all stakeholders in RSE. This paper concludes that we should pay more attention to the accurate recognition and effective satisfaction of RSE affected by the governance efficiency and motivation of different suppliers to achieve this dynamic correction.

opencc-zeroOct 2020View details →
zenodo32/100

BDRC Educational Affiliation Network Data

<p>This set of files contains the edge list, the node list and the list of node attributes used for building the network of educational affiliation in the&nbsp;<em>Biographical Dictionary of Republican China</em> (BDRC). The network contains two categories of nodes: the individuals and the educational institutions they attended. The node&nbsp;attributes file contains two sheet: one for individuals, one for institutions.</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Research Data Services in US Higher Education: A Web-Based Inventory - Raw Data

<p>This dataset represents an inventory of research data services at 120 US colleges and universities. The data was collected using a systematic web content analysis process in late 2019. This dataset underlies the following report: Jane Radecki and Rebecca Springer, &quot;Research Data Services in US Higher Education: A Web-Based Inventory,&quot; Ithaka S+R, Nov. 2020,&nbsp;<a href="https://sr.ithaka.org/publications/research-data-services-in-us-higher-education/">https://doi.org/10.18665/sr.314397</a>.</p> <p>We defined research data services as any concrete, programmatic offering intended to support researchers (including faculty, postdoctoral researchers, and graduate students) in working with data, and identified services within the following campus units: library, IT department/research computing, independent research centers and facilities, academic departments, medical school, business school, and other professional schools. We also recorded whether the institution offered local high performance computing facilities. For detailed definitions, exclusions, and data collection procedures, please see the report referenced above.</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Raw data for analyzing higher educational support potential for space industry

<p>The data contain campus recruitment data of China Aerospace Science and Technology Corporation (CASC) and China Aerospace Science and Industry Corporation (CASIC) and 41 Chinese elite universities&rsquo; enrollment of bachelor, master, and doctor degree by discipline. The data also contain the numbers of space industry related professional organizations, publication and, patent of these universities. All of these data were openly collected online.</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Design and Validation of an Assessment Tool for Educational Mobile Applications Used with Autistic Learners

<p>Appendix&nbsp;A and&nbsp;B, supplementary material to the publication:</p> <p>Sanrom&agrave;-Gim&eacute;nez, M., L&aacute;zaro Cantabrana, J. L., Usart Rodr&iacute;guez, M., &amp; Gisbert-Cervera, M. (2021). Design and Validation of an Assessment Tool for Educational Mobile Applications Used with Autistic Learners. <em>Journal of New Approaches in Educational Research,</em> 10(1), doi: 10.7821/naer.2021.1.574</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Impact of targetted health education and sensitization of family caregivers upon treatment maintenance and satisfaction among completely edentulous patients suffering from elder abuse and neglect

<p>the following is the raw and coded data associated with the research</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Educational centers ITIL processes

<p>Implementation level of ITIL processes in educational centers&nbsp;</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Use of Linux in Education: A Systematic Mapping Study – dataset

<p>The dataset used in the article Use of Linux in Education: A Systematic Mapping Study.</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

The Early Childhood Education and Care COVID-19 Impact Study

<p>This&nbsp;survey was designed to&nbsp;address the&nbsp;gap in knowledge&nbsp;around the impact that the&nbsp;COVID-19&nbsp;global pandemic has had on&nbsp;Early Childhood Education and Care (ECEC) policy, practice and provision&nbsp;across the UK.&nbsp;</p> <p>The survey explores the&nbsp;extent&nbsp;to which changes have been made&nbsp;in early years education and care settings and the perceptions of&nbsp;these&nbsp;changes among practitioners. The survey asked&nbsp;for&nbsp;perceptions&nbsp;about the impact of COVID-19 on&nbsp;staff, the children in their care (aged 0-8) and on their&nbsp;setting as a whole.&nbsp;&nbsp;</p>

opencc-by-4.0Jan 2021View details →
dryad32/100

Data from: A controlled quasi-experimental study of an educational intervention to reduce the unnecessary use of antimicrobials for asymptomatic bacteriuria

Background: Asymptomatic bacteriuria (ABU) should only be treated in cases of pregnancy or in-patients undergoing urologic procedures; however, unnecessary treatment of ABU is common in clinical practice. Objective: To identify risk factors for unnecessary treatment and to assess the impact of an educational intervention focused on these risk factors on treatment of ABU. Design: Quasi-experimental study with a control group. Setting: Two tertiary teaching adult care hospitals. Participants: Consecutive patients with positive urine cultures between January 30th and April 17th, 2012 (baseline) and January 30th and April 30th, 2013 (intervention). Intervention: In January 2013, a multifaceted educational intervention based on risk factors identified during the baseline period was provided to medical residents (monthly) on one clinical teaching unit (CTU) at one hospital site, with the CTU of the other hospital serving as the control. Results: During the baseline period, 160/341 (46.9%) positive urine cultures were obtained from asymptomatic patients at the two hospitals, and 94/160 (58.8%) were inappropriately treated with antibiotics. Risk factors for inappropriate use included: female gender (OR 2.1, 95% CI 1.1-4.3), absence of a catheter (OR 2.5, 1.2-5), bacteriuria versus candiduria (OR 10.6, 3.8-29.4), pyuria (OR 2.0, 1.1-3.8), and positive nitrites (OR 2.2, 1.1-4.5). In 2013, only 2/24 (8%) of ABU patients were inappropriately treated on the intervention CTU as compared to 14/29 (52%) on the control CTU (OR 0.10; 95% CI 0.02-0.49). A reduction was also observed as compared to baseline on the intervention CTU (OR 0.1, 0.02-0.7) with no significant change noted on the control CTU (OR 0.47, 0.13-1.7). Conclusions: A multifaceted educational intervention geared towards medical residents with a focus on identified risk factors for inappropriate management of ABU was effective in reducing unnecessary antibiotic use.

opencc-zeroDec 2014View details →
dryad32/100

Data from: Children in the Syrian civil war: the familial, educational, and public health impact of ongoing violence

The Syrian civil war since 2011 has led to one of the most complex humanitarian emergencies in history. The objective of this study was to document the impact of the conflict on the familial, educational, and public health state of Syrian children. A cross-sectional observational study was conducted in May 2015. Health care workers visited families with a prospectively designed data sheet in 4 Northern Syrian governorates. The 1001 children included in this study originated from Aleppo (41%), Idleb (36%), Hamah (15%), and Lattakia (8%). The children's median age was 6 years (range, 0-15 years; interquartile range, 3-11 years), and 61% were boys. Almost 20% of the children were internally displaced, and 5% had deceased or missing parents. Children lacked access to safe drinking water (15%), appropriate sanitation (23%), healthy nutrition (16%), and pediatric health care providers (64%). Vaccination was inadequate in 72%. More than half of school-aged children had no access to education. Children in Idleb and Lattakia were at greater risk of having unmet public health needs. Younger children were at greater risk of having an incomplete vaccination state. After 4 years of civil war in Syria, children have lost parents, live in substandard life quality circumstances, and are at risk for outbreaks because of worsening vaccination states and insufficient availability of health care providers.

opencc-zeroDec 2015View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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