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152 results for “Higher education”
Data for study "Digital tools for innovative higher education teaching - a Scoping Review of Empirical Studies".
<p>The goal of this research is to point out, by a scoping review of the papers published between 2020 and 2023, the digital tools used in the teaching process at the higher education level. The dataset was collected using Web of Science and Scopus databases.</p> <p>The dataset contains the following elements:</p> <ol> <li>paper details (Authors, Publication Year, Article Title, DOI),</li> <li>OECD classification,</li> <li>teaching tool assigned to paper.</li> </ol>
Photovoice and case based learning activities in higher education (University of Zaragoza - Social Work degree)
<p>The collected variables are: students data (gender, age, university admittance marks from 0 to 14), academic perforrnace of photovoice (PV) activity (from 0 to 10), academic performance of Case based learning (CBL) activity (form 0 to 10), order of the exercises, satisfaction with the photovoice activity, satisfaction with the CBL activity, items and overall self-efficacy scale score</p>
Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate
<p>Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment).</p><p>The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions.</p><p>The indoor air temperature and relative humidity in the classroom were monitored using wireless sensors. Six RHT sensors were placed at different locations: one in the center (F98), two on the ceiling next to grilles (FA1 et F9B), one on the carpentry of one of the windows (F9D), one near the writing board (F94), and one in the corridor outside the classroom (F96). Indoor parameters were recorded at ten minutes intervals.</p><p>The number of occupants was determined hourly (morning and afternoon) by counting and surveying (attendance sheets). The usage schedules of the classroom were 8:30–18:00. The number of occupants varied from 0 to 31.</p><p>The states of doors and windows (open or close) were monitored using magnetic sensor that detects the opening of doors and windows. The states of the door and windows were recorded at ten minute intervals.</p><p>The window-blind closing rate was determined by visual observation. The closing rates were 0%, 25%, 50%, 75%, and 100%. Observations were conducted throughout the day in the morning and afternoon at 1 h intervals.</p><p>The state of the heating/air-conditioning system was determined to be off or on every hour (in the morning and afternoon) using the HVAC control panel (HMI)</p>
Sexual Violence Whistleblowing Intention by Higher Education Students and Staff
<p>The datasets consist of quantitative data from 21,937 higher education students from 18 institutions in Nigeria. It also contains 3,108 data points from staff of the same institutions. The data describe the intention of the staff and the students to use internal whistleblowing mechanisms to report sexual violence cases. Data on the attitude of the participants towards internal whistleblowing, their subjective norms, and their self-efficacy are also contained in the datasets. The qualitative data describe the sexual violence reporting systems available in the institutions, their preferred whistleblowing strategies, the protection of whistleblowers, and recommendations for the effectiveness of internal whistleblowing mechanisms for sexual violence. However, due to the sensitivity of the data, the qualitative dataset will only be made available on request. Added to these datasets are the instruments that were used to collect data from the participants.</p>
The Effectiveness of a Mobile Application for Teaching Clinical Nursing Skill at a Higher Education Institution in Chenzhou, China
ClinicalTrials.gov study NCT06165471. IPD Sharing: YES. Countries: 1. Publications: 14.
How syllabi relate to outcomes in higher education: An evaluation of syllabi learner-centeredness and grade inequities in STEM
Open the record for dataset details and reuse information.
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’s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>
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’s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>
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’s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>
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 “side effect” 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’s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>
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, "Research Data Services in US Higher Education: A Web-Based Inventory," Ithaka S+R, Nov. 2020, <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>
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’ 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>
Data from: Assessing faculty professional development in STEM higher education: sustainability of outcomes
We tested the effectiveness of Faculty Institutes for Reforming Science Teaching IV (FIRST), a professional development program for postdoctoral scholars, by conducting a study of program alumni. Faculty professional development programs are critical components of efforts to improve teaching and learning in the STEM (Science, Technology, Engineering, and Mathematics) disciplines, but reliable evidence of the sustained impacts of these programs is lacking. We used a paired design in which we matched a FIRST alumnus employed in a tenure-track position with a non-FIRST faculty member at the same institution. The members of a pair taught courses that were of similar size and level. To determine whether teaching practices of FIRST participants were more learner-centered than those of non-FIRST faculty, we compared faculty perceptions of their teaching strategies, perceptions of environmental factors that influence teaching, and actual teaching practice. Non-FIRST and FIRST faculty reported similar perceptions of their teaching strategies and teaching environment. FIRST faculty reported using active learning and interactive engagement in lecture sessions more frequently compared with non-FIRST faculty. Ratings from external reviewers also documented that FIRST faculty taught class sessions that were learner-centered, contrasting with the teacher-centered class sessions of most non-FIRST faculty. Despite marked differences in teaching practice, FIRST and non-FIRST participants used assessments that targeted lower-level cognitive skills. Our study demonstrated the effectiveness of the FIRST program and the empirical utility of comparison groups, where groups are well matched and controlled for contextual variables (for example, departments), for evaluating the effectiveness of professional development for subsequent teaching practices.
Dataset of ICITS'24 - article "Ethics and AI in Higher Education: A Study on Students' Perceptions"
<p>This dataset encompasses responses from first-year undergraduate students enrolled in an ICT program at Fluminense Federal University. The survey was completed by 61 students via an online platform between June 28th and July 4th, 2023. The findings were subsequently published in an article titled "<strong>Ethics and AI in Higher Education: A Study on Students' Perceptions</strong>" presented at the ICITS'24 conference.</p> <p> </p> <p><strong>Article abstract</strong>:This initial study investigates the complex ethical concerns surrounding the integration of artificial intelligence (AI) in education, with a particular focus on undergraduate students' perceptions of AI tools in their academic efforts. A notable issue is the educational application of these tools, coupled with a pressing need for comprehensive public policies that ensure ethics and privacy are protected. Through qualitative research involving 61 students in an Information and Communication Technology (ICT) course, we explored the teaching of ethics related to the use of AI tools in an academic context. Our findings reveal a tendency among students to favor commercial AI tools that are not tailored for educational use, pointing to a potential shortfall in the educational AI domain. This study underscores the importance of promoting critical thinking and the responsible use of AI tools in academic settings. However, it is crucial to conduct further research with university students and instructors to refine and improve educational frameworks utilizing AI tools.</p>
Dataset for Citizen Science as a Relevant Approach to the Challenges of Complex Thinking Development in Higher Education
<p>Dataset with questions and analysis for the article Citizen Science as a Relevant Approach to the Challenges of Complex Thinking Development in Higher Education: Mapping and Bibliometric Analysis</p>
Academia as a Driver of Change: A Bibliometric Analysis of Pro-Environmental Behavior in Higher Education Institutions
<p>Web of Science dataset</p>
Influence of Higher Education Performance on Strategic Emerging Industries: A Path Analysis in China
<p>Raw data for article titled "Influence of Higher Education Performance on Strategic Emerging Industries: A Path Analysis in China". </p>
Investigating Bibliometric Trends in Metaverse within Higher Education
<p>bibliometric data</p>
ECHA-24 - Survey_results Higher Education - explorative research Giftedness (MBO/HBO/WO)
<p><span>The survey is divided into four sections, each addressing a distinct aspect of the respondent's experience. Part 1 is concerned with the personal context of the respondents and includes questions on demographic details, giftedness, and cognitive traits. Part 2 of the survey pertains to the respondent's educational background, encompassing their field of study, the institution they attend, and the level of support they receive regarding their giftedness. Part 3 delves into the challenges encountered by respondents in higher education, with a particular focus on time management, study methods, and motivation. Finally, Part 4 allows respondents to offer additional feedback and suggestions, particularly concerning skills for future generations of gifted individuals.</span></p>
Public University Portuguese Higher Education Organizations Dataset
<p>This file contains public documents such as statutes, organic regulations and organograms of the Portuguese higher education organizations from the public sector which minister university education. Along with it, there exists and excel file where the information related with the IT units of those organizations was organized. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.