digital-learning

Documents about digital-learning

• Comparative Analysis of Students and Faculty Level of Awareness and Knowledge of Digital Citizenship Practices in a Distance Learning Environment: Case Study#460717ERIC
• Educación virtual y herramientas digitales en la formación universitaria contemporánea: un estudio correlacional en estudiantes peruanos#463808DIALNET OAI Articles
• Exploring the structural relationships between soft skills, emotional intelligence, cognitive flexibility, and self-directed learning in the digital age: A cross-sectional PLS-SEM study of female students of king Faisal University, Saudi Arabia.#630808NCBI PubMed Central
• The Effectiveness of Technology-Supported Learning in Improving Students' Digital Literacy--A Meta-Analysis of 56 Experimental and Quasi-Experimental Studies#130161ERIC
• Criteria for Determining the Level of Media Literacy Development of Students in the Summative Assessment System#408370DigitalCommons@URI
• AI Responsibilization: Shifting the Burden of Academic Integrity#463967DigitalCommons@University of Nebraska
• Using Clustering Techniques and MITRE ATT&CK Threat Interpretation to Detect Anomalies in Modbus/TCP for Industrial Control Systems#623667DigitalCommons@Kennesaw State University
• Reinforcement-Learning-Enabled Supervisory Control of a Full-Scale Anaerobic Digestion Facility Using a Calibrated Digital Twin#1065645Figshare
• LIBRARY SUPPORT FOR MASSIVE OPEN ONLINE COURSES (MOOCS) IN THE PHILIPPINES: THE CASE OF AMERICAN CORNERS#283821DigitalCommons@University of Nebraska
• The development of phonemic awareness in English L2 young French learners : using the interactive whiteboard (IWB) in order to implement a kinaesthetic approach#300929HAL Science
• Accelerating fused filament fabrication FFF optimization with AI-Powered digital twins and High-Fidelity simulations#357478HAL (France)
• Not for Free! An Analysis of Two Digital Tools Recommended as Learning Resources for Physical Education in Upper Secondary Schools in Denmark#460797ERIC
• Value chain network planning using machine learning and digital twin simulation — Strong Force Vcn Portfolio 2019, Llc (US12314060B2)#607051Google Patents
• Data Sheet 2_The contractual vacuum: AI procurement and the erosion of good administration.pdf#1052892Figshare
• Data Sheet 1_The contractual vacuum: AI procurement and the erosion of good administration.pdf#1052893Figshare
• Using Digital Gamification to Improve Language Achievement, Foreign Language Enjoyment, and Ideal L2 Self: A Case of English as a Foreign Language Learners#460615ERIC
• From Eco to Bolter: what remains of mass culture in the digital age, in “Journal of Inclusive Methodology and Technology in Learning and Teaching”, Anno 5 n.1 (2025), EUR – Edizioni Universitarie Romane, Roma, ISSN: 2785-5104.#923138IRIS
• PROBLEMS OF USINGMODERN INTERACTIVE TECHNOLOGIES IN TEACHING THE UZBEK LANGUAGE TO FOREIGNPERSONNEL IN EDUCATIONAL INSTITUTIONS OF THE MIA#186917Zenodo (CERN)
• A Framework for Digital Technologies Application in Soft Sensing Monitoring to Recombinant Nanobody Production in Escherichia coli : From Model Explanation to the Study of Potential Scenario#257459HAL (France)
• Automatic Detection of Ditches and Natural Streams from Digital Elevation Models Using Deep Learning#286906api.researchdata.se
• Rethinking Education Innovation for Sustainable Development in the AI Era: A G20 Policy-Oriented Perspective#313045OpenMETU
• Classifying Ditch and Stream Channels Mapped From High-Resolution Digital Elevation Models Using Machine Learning#303067api.researchdata.se
• Unraveling Coupled Salt Transport and Damage Mechanisms in Porous Limestone using 4D X-ray Tomography and Advanced Image Analysis#662000HAL (France)
• UniK: Universal Knowledge Perception for Digital and Physical AI#1050160arXiv (All)
• Development of a framework for implementing digital serious games in anatomy education: A single-centre qualitative study#454751ScholarBank@NUS
• {'@classid': 'main title', '@classname': 'main title', '@schemeid': 'dnet:dataCite_title', '@schemename': 'dnet:dataCite_title', '$': 'Adversarial Machine Learning'}#626263OpenAIRE
• Construction and Clinical Validation of a Predictive Model for Postoperative Adjuvant Therapy in Hepatocellular Carcinoma Based on Whole-Slide Digital Pathological Images and Deep Learning#855704ClinicalTrials.gov
• Cloud commerce Learning Ecosystem : a multilingual vocational model for developing digital trade competencies in multi-zone and cross-cultural contexts / Priyo Nugroho Adi ; Gutachter: Thomas Köhler, Mochamad Bruri Triyono ; Thomas Köhler, Mochamad Bruri Triyono, Priyanto#629159Deutsche Nationalbibliothek
• Machine learning for cardiac ultrasound time series data#634690eScholarship
• Digital Twin-Based HVAC Model Generation Using Point Cloud and Image Data for Building Retrofitting#167742Apollo
• Don't Fear the Artificial Intelligence: A Systematic Review of Machine Learning for Prostate Cancer Detection in Pathology#394563BYU ScholarsArchive
• Digital Teaching-Learning Processes in Tertiary Education: An Empirical Analysis of Zoom Usage, Cognitive Control, and Psychological Stress from the Normative Perspective of DIN EN ISO 9241#430235HAL (France)
• Norway – Software supply services – Platform for the administration and distribution of digital teaching aids and learning tools. — Arendal kommune (NOR) · 12000000 NOK#782529EU TED (Tenders Electronic Daily)
• QSSI 2026™: Quantum Sovereign Security Index — Definitive Master Release v10.0.0#282443Zenodo (CERN)
• Not AI-made. Soul-made: Reimagining Learning in a Human-First Era#374649IDEALS @ University of Illinois Urbana-Champaign
• Talking about "Bioluminescence" and "Puppies of the Ocean": An Anti-Deficit Exploration of How Families Create and Use Digital Artifacts for Informal Science Learning during and after an Aquarium Visit#460721ERIC
• Reliability of remote self‐administered Web‐based digital cognitive measures and comparison to in‐person neuropsychological tests: Stricker Learning Span, Symbols Test, and the Mayo Test Drive Screening Battery Composite#1052973Europe PMC
• Somagraphic Learning™ Framework: Industry & Empirical Validation Matrix#374643IDEALS @ University of Illinois Urbana-Champaign
• Somagraphic Learning™ Framework (SLF) | UAE Human-Readiness One-Pager#374647IDEALS @ University of Illinois Urbana-Champaign
• Map Before Machine™ Card (1 pager)#374642IDEALS @ University of Illinois Urbana-Champaign
• Pre-AI Embodied Sense-Making: A Terminology Reference | Somagraphic Learning™ Framework#374644IDEALS @ University of Illinois Urbana-Champaign
• (SSRN preprint, Version 3) Somagraphic Learning™ Framework: A Human-First, AI-Supported Visual Cognitive Approach#374645IDEALS @ University of Illinois Urbana-Champaign
• Somagraphic Learning™ Framework Pilot Protocol#374646IDEALS @ University of Illinois Urbana-Champaign
• Map Before Machine™ ppt (UIUC Siebel Center for Design, SHIFT Scholar)#374648IDEALS @ University of Illinois Urbana-Champaign
• Peranan Perpustakaan dan Pusat Tanggungjawab (PTJ) di UTM Kuala Lumpur dalam memartabatkan Stem di sekolah orang Asli melalui program Literasi maklumat & Digital, Fun Learning Toy Library (FLTL) dan OSH. (Perpustakaan UTM Kuala Lumpur, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia).#352739USM Repository
• U.S. DISTRIBUTED CIVIC EXPERTISE: Citizens' Voluntary Civic Initiative Support System Proposal (Continuous Civic Learning and Resolution from Civic Concern to Civic Action) - Vol. II of the Non-Agentic Civic AI - Illuminating America's Civic Digital Field#464410Internet Archive OAI Repository
• Clinnova-MS: A Prospective Cohort Study of Patients With Multiple Sclerosis: A Trans-regional Digital Health Effort Unlocking the Potential of Artificial Intelligence and Data Science in Health Care#910193ClinicalTrials.gov
• Integrating Data Science and Earth Science#486872Directory of Open Access Books
• Consultancy services to support disability inclusion in Higher Education and Science programmes at the British Council: An evaluation of the digital accessibility of British Council online learning resources#229672Figshare
• IMPACT OF TECHNOLOGY ON STUDENT PERFORMANCEABSTRACT The rapid digitalization of education, accelerated by the Fourth Industrial Revolution and the COVID-19 pandemic, has fundamentally transformed instructional delivery. Despite significant global investment in Educational Technology (EdTech), the correlation between digital tools and student academic achievement remains a subject of intense debate. This study synthesizes empirical evidence from 2019 to 2026 to evaluate the impact of various technological interventions, including Artificial Intelligence (AI), Virtual Reality (VR), Gamification, and Mobile Learning, on student performance in educational management contexts. A systematic review of over 40 distinct studies was conducted, utilizing frameworks such as the Technology Acceptance Model (TAM) and the SAMR model to analyze efficacy across diverse subject domains and institutional settings. Results indicate a small to medium positive effect size (d ≈ 0.35), heavily contingent on implementation quality rather than hardware presence. AI and VR show strong potential in STEM and personalized learning, while mobile learning effectively supports formative assessment but poses distraction risks. Crucially, teacher digital competence and student self-regulation were identified as primary mediating variables. The study concludes that technology is an amplifier of pedagogy, not a substitute. It recommends that educational managers prioritize "humanware", teacher training and pedagogical design, over mere hardware acquisition to bridge digital divides and maximize academic return on investment. ABSTRACT The rapid digitalization of education, accelerated by the Fourth Industrial Revolution and the COVID-19 pandemic, has fundamentally transformed instructional delivery. Despite significant global investment in Educational Technology (EdTech), the correlation between digital tools and student academic achievement remains a subject of intense debate. This study synthesizes empirical evidence from 2019 to 2026 to evaluate the impact of various technological interventions, including Artificial Intelligence (AI), Virtual Reality (VR), Gamification, and Mobile Learning, on student performance in educational management contexts. A systematic review of over 40 distinct studies was conducted, utilizing frameworks such as the Technology Acceptance Model (TAM) and the SAMR model to analyze efficacy across diverse subject domains and institutional settings. Results indicate a small to medium positive effect size (d ≈ 0.35), heavily contingent on implementation quality rather than hardware presence. AI and VR show strong potential in STEM and personalized learning, while mobile learning effectively supports formative assessment but poses distraction risks. Crucially, teacher digital competence and student self-regulation were identified as primary mediating variables. The study concludes that technology is an amplifier of pedagogy, not a substitute. It recommends that educational managers prioritize "humanware", teacher training and pedagogical design, over mere hardware acquisition to bridge digital divides and maximize academic return on investment.#343105Zenodo (CERN)