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4,182 results for “universities”
Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru
<p><span>Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. The findings highlight that organizational motivation to achieve high performance significantly affects job performance. This motivation creates pressure to achieve the desired outcomes. According to over 90% of the surveyed faculty, these demands foster a sense of urgency, though sometimes exceeding the capabilities of the employee. Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.</span></p> <p><strong><span>Keywords: </span></strong><span>digital transformation, job performance, virtual education, digital tools, educational quality.</span></p>
Universities and Unicorns – New Forms of Value in Digital Higher Education (SRHE webinar)
<p>SRHE's Digital University Network organised an event on 21 September 2023. The research team from the ESRC-funded research project Universities and Unicorns (UU) project presented initial findings after the project finished. The project introduced fundamentally new ways to think about and examine the digitalising of the higher education sector. It investigated new forms of value creation and suggested that value in the sector increasingly lies in the creation of digital assets. Further, the project examined whether and how universities, companies and investors shift from forms of entrepreneurship to forms of rentiership. This has important consequences. Assetisation and rentiership imply a change from creating value via market exchange to capturing value via the ownership and control of assets, such as personal data.</p> <p><br>More about the webinar: https://srhe.ac.uk/civicrm/?civiwp=CiviCRM&q=civicrm%2Fevent%2Finfo&reset=1&id=641</p>
Spotlight on AUST: Shining Bright Among Universities in Lebanon
<p>AUST is renowned as one of the top <a href="https://www.aust.edu.lb/">universities in Lebanon</a>. AUST stands proudly with its diversified faculties, fostering a dynamic learning environment that nurtures creativity, critical thinking, and global perspectives. With a commitment to shaping future leaders, AUST offers a transformative educational experience, uniting knowledge and innovation.</p>
Scientific production of the University of Informatics Sciences in the period 2004-2020 in Scopus
<p><span>The data were part of the research to analyze the behavior of the scientific production of the University of Informatics Sciences of Cuba indexed in the Scopus database in the period 2004 to 2020, through a descriptive, longitudinal bibliometric study, the scientific production was analyzed. , research areas, and scientific collaboration in 366 records found.</span></p>
Validating Instructional Practice Scale (IPS) for University Instructors: Confirmatory Factor Analysis
<p>.csv dataset for the study "validating instructional practice scale for instructors in some selected Ethiopian public universities: confirmatory factor analysis"</p>
3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante
<p>This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios:</p> <ol> <li> <p><strong>Public Square in Murcia Capital</strong>: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered.</p> </li> <li> <p><strong>Engineering Laboratory at the University of Alicante</strong>: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds.</p> </li> </ol>
Data and analysis for "Association of self-reported musculoskeletal pain with school furniture suitability and daily activities among primary school and university students"
<p>Datasets and R analysis code and report for the article "Association of self-reported musculoskeletal pain with school furniture suitability and daily activities among primary school and university students".</p>
Generative AI in University Communication, 2nd Wave - Survey Data (May 2024)
<p>Der Datensatz mit dem Titel "Generative KI in der Hochschulkommunikation, 2. Welle - Umfragedaten (Mai 2024)" erfasst Informationen zur Einführung und Nutzung von generativer künstlicher Intelligenz (KI) im Kontext der Hochschulkommunikation. Die Umfrage, die im Mai 2024 unter 318 deutschen Hochschulen durchgeführt wurde, von denen 82 geantwortet haben, untersucht verschiedene Aspekte, darunter Bekanntheit und Wissen über verschiedene KI-Tools (z.B. ChatGPT), Diskussionen in Gremien, das Vorhandensein von Richtlinien für die Nutzung, das Vorhandensein von Arbeitsgruppen für generative KI, strategische Ziele und Initiativen, Schulungsangebote für generative KI-Tools und die wahrgenommene Bedeutung von generativen KI-Tools in der Hochschulkommunikation. Ziel des Datensatzes ist es, Einblicke in die aktuelle Landschaft und Praxis der Integration generativer KI im universitären Umfeld zu geben. Die Daten der ersten Erhebung sind unter https://doi.org/10.5281/zenodo.10254904 zu finden.</p> <p>The dataset, titled "Generative AI in University Communication - Survey Data (May 2024)," captures information related to the adoption and utilization of generative artificial intelligence (AI) in the context of university communication. This survey, conducted in June 2024 among 318 German universities of which 82 responded, explores various aspects, including awarenes and knowledge of various AI tools (e.g. ChatGPT), discussions in committees, the existence of guidelines for usage, the presence of working groups for generative AI, strategic goals and initiatives, training offerings for generative AI tools, and the perceived importance of generative AI tools in university communication. The dataset aims to provide insights into the current landscape and practices regarding the integration of generative AI within university settings. Data of the first wave can be found here: https://doi.org/10.5281/zenodo.10254904<br><br>More information here: <a href="https://www.hof.uni-halle.de/projekte/hochki/">https://www.hof.uni-halle.de/projekte/hochki/</a></p>
AI as a driver of quality education in public universities. A bibliometric review
<p><span>Artificial intelligence (AI) is transforming teaching in public universities, enabling improvements and aiming for quality education. The purpose of this bibliometric research was to analyse the impact of AI on educational quality in public universities. The methodology used was a qualitative approach at a descriptive level, which included terms related to artificial intelligence and quality education in public universities; analysing 488 Scopus documents between 1987 and 2024, through the Vosviewer and Bibliometrix tools; and a review of 43 authors cited between 2020 and 2024 in the introduction and literature. The results reveal a growing interest in AI to personalise learning, provide high-quality resources and promote sustainability. Its potential to differentiate teaching and address specific needs of diverse learners is highlighted. It is concluded that AI can improve educational quality and equity, but strategies for ethical and responsible implementation are required, addressing challenges such as teacher training and change management.</span></p>
ICESat-2 Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: Coastal Alaska
<p>This dataset is derived from the ICESat-2 Global Geolocated Photon Height Product (ATL03, <a href="https://nsidc.org/data/atl03/versions/6" target="_blank" rel="noopener">Neumann et al., 2023</a>), release 006, using the University of Maryland-Ridge Detection Algorithm (UMD-RDA, <a href="https://doi.org/10.1029/2022GL100272" target="_blank" rel="noopener">Duncan & Farrell, 2022</a>). The UMD-RDA is applied to ATL03 granules on a per-shot basis, nominally resulting in elevation measurements at ICESat-2's along-track sampling of ~0.7 m.</p> <p><strong>Data Bounds (lon,lat): </strong></p> <p><em>LL corner: (-169.71, 68.32), UR corner: (-137.1, 72.18)</em></p> <p> </p> <p><strong>File Format</strong></p> <p>Coastal Alaska data are provided in .xz compressed format and decompress to ascii text. The columns are as follows:</p> <ol> <li>Longitude (degrees)</li> <li>Latitude (degrees)</li> <li>Time (seconds since 2018-01-01)</li> <li>Elevation (meters, relative to DTU18 Mean Sea Surface)</li> </ol> <p>Data are provided monthly for the period December 2021 (202112) to May 2022 (202205).</p> <p> </p> <p><strong>Users of this dataset are asked to cite the following publication:</strong></p> <p><em>Duncan, K. and Farrell, S. L. (2022). Determining Variability in Arctic Sea Ice Pressure Ridge Topography with ICESat-2. Geophys. Res. Lett., 49, e2022GL100272. https://doi.org/10.1029/2022GL100272</em></p> <p> </p> <p><em>This dataset is supported by NASA Cryosphere Grant 80NSSC20K0966</em></p> <p> </p> <p>For any questions regarding this dataset you can contact Kyle Duncan by email: kduncan at umd . edu</p>
The University of California, Riverside Environmental Chamber Data Base for Evaluating Oxidant Mechanism. Indoor Chamber Experiments through 1993
<strong><span>THE UNIVERSITY OF CALIFORNIA, RIVERSIDE ENVIRONMENTAL CHAMBER DATA BASE FOR EVALUATING OXIDANT MECHANISMS</span></strong> <p>William P. L. Carter, Dongmin Luo, Irina L. Malkina and Dennis Fitz</p> <p>Project Report for<br>Cooperative Agreement 815779, United States Environmental Protection Agency</p> <p>March 20, 1995</p> <p>This two report describes the data base of University of California, Riverside, environmental chamber experiments for use when evaluating photochemical mechanisms for urban and regional airshed models. This includes data obtained using the Statewide Air Pollution Research Center (SAPRC) Evacuable Chamber (EC), Indoor Teflon Chamber #1 (ITC), Indoor Teflon Chamber #2 (ETC), Dividable Teflon Chamber (DTC), and Xenon arc Teflon Chamber (XTC) between September of 1975 through November of 1993. This document provides backing information and data for that data set as well. This document lists and summarizes the experiments, summarizes the facility and procedures employed, documents the analytical and monitoring methods and their calibration data and associated uncertainties, assigns and documents the input data needed to conduct model simulations of the experiments in the present data base, and describes the format of the data sets which are distributed with this document on computer diskettes. Files are included in the distribution to permit modeling of the experiments in the present data base using the SAPRC-90 and the Carbon Bond IV chemical mechanisms, though a full mechanism evaluation procedure is beyond the scope of this report. Recommendations are made concerning the steps that need to be taken before using these data to evaluate chemical mechanisms.</p> <p>This report consists of two volumes. Volume 1 contains the main body of the text documenting the data base, and Volume 2 contains the three appendices. Appendix A contains printouts of spreadsheets containing summaries of the runs in the data base. Appendix B contains tabulations of the NOx and GC calibration data, which are too lengthy to include in the main body of the report. Appendix C describes how to install the distributed data files and software on a computer and how to conduct initial model simulations of the runs using the SAPRC modeling software and the SAPRC-90 and Carbon Bond IV mechanisms.</p>
Interview guide of study conducted on: Identification of the challenges teachers face in teaching small problem-based learning (PBL) groups in the College of Medicine, King Faisal University, Kingdom of Saudi Arabia
<p><strong>Background:</strong> Recognizing the challenges that teachers face offers a platform for devising innovative teaching strategies, thereby boosting teacher performance. This study seeks to pinpoint the obstacles teachers encounter while conducting small problem-based learning (PBL) groups and to recommend measures that guide educational institutions in determining teacher training needs. Furthermore, the study explores the creation of interventions to bolster PBL teaching practices.</p> <p><strong>Methods:</strong> Utilizing a qualitative approach, semi-structured interviews were administered, prompting participants to contemplate the difficulties of instructing small PBL groups. Ten medical educators, purposefully selected based on their PBL teaching experience, participated. Verbatim transcripts were meticulously analysed using thematic analysis, facilitating code production, comparison, and overarching theme generation.</p> <p><strong>Results:</strong> The data underscored challenges associated with adopting PBL in a traditional educational setting, emphasizing the imperative for honed facilitation skills, fostering motivation towards PBL, and addressing the ramifications of students' conventional learning backgrounds. Notably, the accruement of experience over time, the enhanced confidence from managing diverse PBL groups, and the importance of knowledge exchange and shared experiences emerged as vital for PBL educators' professional growth.</p> <p><strong>Conclusions: </strong>Actively supporting teachers as they navigate shifts in their roles and urging the incorporation and adept application of teaching techniques can elevate teacher efficacy. Recommendations include the initiation of a teacher development program, the allocation of ample time and resources for student participation in PBL activities, the introduction of a comprehensive teacher assessment system, and the integration of quantitative research methods to further enrich teacher practices and professional advancement.</p>
Fig.1 in Floristic Structure Of Mountain Plants Collection And The Present Situation In Botanical Garden Of Siauliai University
Fig.1. The number of mountain plants genus and species in collection 2003 – 2008.
Figure 1 in Phlebotominae (Diptera: Psychodomorpha: Psychodidae) deposited in the Museum of Zoology of the University of São Paulo
Figure 1. Map of Latin America with the origins (countries) and Brazilian states of the specimens types of sand flies deposited in the Invertebrate Collection of the Museum of Zoology of the University of São Paulo (MZUSP/SP).
Figure 2 in Phlebotominae (Diptera: Psychodomorpha: Psychodidae) deposited in the Museum of Zoology of the University of São Paulo
Figure 2. Map of Latin America with the origins (countries) and states of Brazil of the specimen non-types of sand flies deposited in the Invertebrate Collection of the Museum of Zoology of the University of São Paulo (MZUSP/SP).
Exploring the Emotional Impact of AI-Driven Simulations in University Education: A Gender Perspective
<p><span>This research evaluates the impact of AI-driven simulations using ChatGPT on university students' emotions, integrating educational psychology and gender studies frameworks. The study investigates how emotions such as interest, irritability, enthusiasm, discomfort, and disgust are affected by AI-enhanced active learning environments. Additionally, it explores gender differences in emotional responses to AI applications in education. Various statistical tests compare emotion scores, including gender comparisons and pre- and post-intervention analyses. The findings aim to enhance understanding of the effectiveness of AI in simulations and its influence on students' emotional experiences, thereby contributing to the design of more effective AI-based educational systems</span></p>
Dataset underlying the manuscript: Universal control of four singlet-triplet qubits
<p>Original dataset for the paper "Universal control of four singlet-triplet qubits" by Xin Zhang et al (https://arxiv.org/abs/2312.16101). </p>
Fig. 2 in Catalogue of the primatological collection of the Torino University
Fig. 2 - Type-specimen of the variety brunnea of Cebus albifrons cuscinus (MZUT T 57).
Dataset of academic staff in Universities of Ethiopia
<p>The data is collected from the academic staff of public universities of Ethiopia. It includes demographic informations and data related with talent management, organizational commitment and organizational Performance. The research conducted by using this data is entitled as "The effects of Talent Management on Organizational Performance: Organizational Commitment as a Mediating Variable in Public Universities of Ethiopia." It is conducted as partial fulfilment of the requirement of doctor of philosophy in management specializing in human resource management. </p>
Data underlying "Neuro-evolutionary evidence for a universal fractal primate brain shape"
<p>This is the data that is required to run the code underlying the paper: Neuro-evolutionary evidence for a universal fractal primate brain shape (eLife 2024)</p> <p>The code can be found here: <a href="https://github.com/cnnp-lab/2024_Folding_scales">https://github.com/cnnp-lab/2024_Folding_scales</a>, and provides more details about the file structure and purpose.</p>
ScienceDex guides
Understand access before you commit
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.