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Dataset results
48 results for “mobile learning”
An Assessment of University Students' Perception Towards the Adoption and Use of Mobile Learning Technologies for Learning
<p>Mobile learning technologies serve has as a transformative tool in the educational sector which gives room for accessibility, flexibility and scalability. It also improves student learning outcomes. This study aims to review research on students' attitude and perception towards the adoption and implementation of mobile learning technologies using the Unified Theory and Acceptance and Use of Technology (UTAUT) model. From the studies, results showed that students' perception has a major impact on the adoption and use of mobile technologies. However, based on the various literature reviewed, students' perception is influenced by performance expectancy, effort expectancy (ease of use of the technology), social influence, perceived enjoyment and satisfaction. All these must be put into consideration before design and implementation for the effectiveness. Nevertheless, if all or some of these constructs were not incorporated in the development of mobile learning technology, obstructs the adoption and implementation of mobile learning.</p>
High-resolution imaging and manipulation of endogenous AMPA receptor surface mobility during synaptic plasticity and learning
<p><span>Data set for the MS</span></p>
Intention to use Mobile Learning APPs in university students
Open the record for dataset details and reuse information.
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
<p>This dataset is a part of the supplementary materials to the 2017 RAL <a href="https://ieeexplore.ieee.org/document/7358076">article</a> with the same title.</p> <blockquote> <p>A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots</p> <p>IEEE Robotics and Automation Letters</p> <p>Alessandro Giusti, Jerome Guzzi, Dan Ciresan, Fang Lin He, Juan Pablo Rodriguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jurgen Schmidhuber, Gianni A. Di Caro, Davide Scaramuzza, Luca Gambardella</p> </blockquote> <p>You can find more information on the <a href="http://bit.ly/perceivingtrails">project web page</a> (alessandrog@idsia.ch).</p> <p><strong>Dataset</strong></p> <p>Folders 001..010 contain the dataset used to train the networks. Folder 000 contains preliminary test data. Folders 011..014 contain data for testing the system.</p> <ul> <li>000 and 003 were shot with an handheld cellphone.</li> <li>001 and 002 were shot with 3 GOPRO Hero 3 cameras, fixed on the head with straps.</li> <li>004..014 were shot with 3 Bluefox cameras, fixed on a rigid helm (the same model and with the same lens as the camera mounted on the quadcopter).</li> </ul>
Datasets and Trained Models for "Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning"
<p>Datasets and Trained models for ICSE 2020 "Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning"</p>
Cognitive Style and Mobile Technology in E-learning in Undergraduate Medical Education
ClinicalTrials.gov study NCT02971735. IPD Sharing: NO. Countries: 0. Publications: 7.
The Effect of a Mobile Application Based on the Social Cognitive Learning Theory on Medication Adherence and Hypertension Self-Efficacy in Patients With Hypertension: A Randomized Controlled Trial
ClinicalTrials.gov study NCT07050303. IPD Sharing: NO. Countries: 1. Publications: 13.
Learning Brushing Using Game Elements in Mobile Phones Apps
ClinicalTrials.gov study NCT03935009. IPD Sharing: YES. Countries: 1. Publications: 12.
The Effect of Motor Learning on Balance, Mobility and Performance of Activities of Daily Living Among Post-Stroke Patients
ClinicalTrials.gov study NCT05076383. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Mobile Augmented Reality Learning On Insulin Administration Knowledge And Skills Of Patients
ClinicalTrials.gov study NCT07087496. IPD Sharing: YES. Countries: 1. Publications: 14.
Mobile Micro-learning on Nurses' Self-confidence, Motivation, and Stress
ClinicalTrials.gov study NCT06693232. IPD Sharing: NO. Countries: 1. Publications: 2.
Collaborative Power Mobility Innovative Learning OpporTunity (CoPILOT) - A Pilot Study of a New Training Approach (Phase 1)
ClinicalTrials.gov study NCT02320786. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of a Novel Machine Learning Mobile App on Diet Adherence in Individuals Following the Low Fodmap Diet
ClinicalTrials.gov study NCT04256551. IPD Sharing: NO. Countries: 1. Publications: 1.
Efficacy of the Mobile Application for Prediction and Prevention of Mood Episode Recurrence Based on Machine Learning
ClinicalTrials.gov study NCT05400785. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women
ClinicalTrials.gov study NCT06225518. IPD Sharing: YES. Countries: 1. Publications: 6.
Effectiveness of Module Based Learning and Mobile Application Based Learning Regarding Facility Based Newborn Care Among Nursing Students
ClinicalTrials.gov study NCT03224663. IPD Sharing: NO. Countries: 0. Publications: 2.
Mobile Learning to Improve Clinician's Ability to Break Bad News
ClinicalTrials.gov study NCT03804918. IPD Sharing: NO. Countries: 1. Publications: 0.
USE OF MOBILE TECHNOLOGIES DEVELOPMENT OF NEW METHODS OF EDUCATION AND LEARNING
Open the record for dataset details and reuse information.
The Effect of Artificial Intelligence Supported Mobile Learning on Nutrition/Hydration Control and Individual Management
ClinicalTrials.gov study NCT06293183. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing Student Learning of Spinal Mobilization With Real-time Objective Feedback
ClinicalTrials.gov study NCT05445622. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.