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51
datasets available to search
ShareScore release 0.9.0
Dataset results
51 results for “learning technologies”
Online RPG Interactive Adventure Games Combined With an E-book Learning Obstetric Fetal Heart Rate Monitoring Technology
ClinicalTrials.gov study NCT06966960. IPD Sharing: Not stated. Countries: 1. Publications: 0.
With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlyin
ClinicalTrials.gov study NCT07121309. IPD Sharing: NO. Countries: 1. Publications: 0.
D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology
ClinicalTrials.gov study NCT04036903. IPD Sharing: NO. Countries: 1. Publications: 0.
Machine Learning Technology in Predicting Relapse and Implementing Peer Recovery Intervention Before Drug Use Occurs
ClinicalTrials.gov study NCT05976672. IPD Sharing: NO. Countries: 1. Publications: 0.
Technology-assisted Blended Learning on Motivational Interviewing for Mental Health Nurses and Its Clinical Impact
ClinicalTrials.gov study NCT06004492. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification of Clinically Occult Glioma Cells and Characterization of Glioma Behavior Through Machine Learning Analysis of Advanced Imaging Technology
ClinicalTrials.gov study NCT00330109. IPD Sharing: Not stated. Countries: 1. Publications: 0.
THE USE OF INFORMATION TECHNOLOGY IN LEARNING ENGLISH
Open the record for dataset details and reuse information.
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar Imaging
ClinicalTrials.gov study NCT06037057. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Information technologies field students survey about distance learning
<p>The majority of schools and faculties switched to distance learning in the COVID pandemic period. The goal of the research presented in this paper was to investigate whether the barriers, cons and pros of distance learning might vary between different regions and disciplines. In this paper, we analyzed barriers to the application of distance learning models in the information technologies field. The research was based on a survey organized at two secondary schools specialized for informatics and three different information technologies study programs at Serbian faculties. In total, 175 students participated in an online survey, 102 from secondary schools and 73 from different levels of faculties (bachelor and master studies). This research revealed that technical barriers almost do not exist in the field of information technologies education. Students, as well as teachers from this field have at their disposal satisfactory technical equipment and skills for application of distance learning. However, there are typical problems of distance learning independent of the education field such as lack of student motivation and self-discipline, missing interactions, etc. The level of influence of these negative aspects of distance learning depends on the personality of the student and the cultural characteristics of a particular region, but this research has shown that it also depends on the age and maturity of the students as well.</p>
Internal analysis for assessing the wellbeing impact of LA-supported learning technologies
<p>This dataset includes the outcomes of an internal analysis process conducted by Learning Analytics researchers to initially identify well-being indicators that reflect the potential impact of their tools and services the well-being of users, stakeholders and the society.</p>
Internal analysis for assessing the wellbeing impact of LA-supported learning technologies
<p>This dataset includes the outcomes of an internal analysis process conducted by Learning Analytics researchers to initially identify well-being indicators that reflect the potential impact of their tools and services the well-being of users, stakeholders and the society.</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.