effect-size

Documents about effect-size

• Enterprises that tried to obtain funding for research and development (R&D) or other innovation activities, by type of finance and effect, NACE Rev. 2 activity and size class (2018)#794811Eurostat
• Enterprises that tried to obtain funding for research and development (R&D) or other innovation activities, by type of finance and effect, NACE Rev. 2 activity and size class (2020)#794862Eurostat
• Effect of HVAC System Size on the Optimum Insulation Thickness of the Buildings in Different Climate Zones#940179Journal of Thermal Engineering
• Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)#346750BYU ScholarsArchive
• How much should we trust linear instrumental variables estimators? An application to family size and children's education#641943EconStor
• Size effect method application for modeling of human cancellous bone using geometrically exact Cosserat elasticity#676968HAL (France)
• Enterprises that tried to obtain funding for research and development (R&D) or other innovation activities by innovation profile, type of finance and effect, NACE Rev. 2 activity and size class (2018)#794831Eurostat
• Enterprises that tried to obtain funding for research and development (R&D) or other innovation activities by innovation profile, type of finance and effect, NACE Rev. 2 activity and size class (2020)#794879Eurostat
• Effect of Apical Third Enlargement to Different Taper and Master Apical Preparation Size on Periapical Healing and Postoperative Pain After Primary Single Sitting Non Surgical Root Canal Treatment#883933ClinicalTrials.gov
• Raw data of an experiment to assess the effect of plant residue size, quality, and diversity, applied as mulch, on soil nutrient dynamics, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality.#302581University of Reading Research Data Archive
• The Effect of Board Characteristics on Firm Performance with Intellectual Capital as a Moderating Variable: (An Empirical Study of Conventional Commercial Bank Companies on the Indonesia Stock Exchange in 2019–2023)#433499International Journal of Economics, Management and Accounting
• Strain gradient plasticity solution for an internally pressurized thick-walled spherical shell of an elastic-plastic material#325470Digital Commons @ Michigan Tech
• The effect of alcohols on red blood cell mechanical properties and membrane fluidity depends on their molecular size#954537Koc University Digital Collections
• Short communication: Effect of washing method, grinding size, and the determination of an indigestible fraction on in situ degradation of starch in mature corn grain#1017081RI UFLA
• A Study to Assess the Effect of Particle Size of AZD7594 on Pharmacokinetics (PK) After a Single Inhaled Dose When Administered Using the Dry Powder Inhaler in Healthy Volunteers#879801ClinicalTrials.gov
• 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)