ai-in-education

Documents about ai-in-education

• ConfusionMapper: A Human-AI Hybrid Inter-Rater Reliability Tool for Cognitive Error Taxonomy Classification in Multiple-Choice Questions#331641OSF
• Associations between physical education teachers' digital teaching competence and students' self-regulated physical activity in AI-augmented classes#655220ULRR
• Beyond Lecturing: A Qualitative Exploration of the Impact of Artificial Intelligence (AI) and Academic Integrity on Faculty Job Satisfaction in Christian Higher Education#277817Scholars Crossing
• Factors associated with high viral load among HIV clients aged 15 years and older receiving treatment in Tanga city council, Tanzania: A facility-based cross-sectional study.#162095NCBI PubMed Central
• The Process of Integrating Generative Artificial Intelligence into Litigation Skills Training for Law Students#313940Zenodo (CERN)
• Individual Differences in Generative AI Effectiveness: An Empirical Puzzle for HRD Research#437318ODU Digital Commons
• Toward fully algorithmic care for type 1 diabetes: The case for AI autonomy, and a recalibrated role for the diabetologist in an ageing type 2 diabetes population.#1039977NCBI PubMed Central
• Use of AI systems in foreign language teaching in higher education – a discussion paper / Anja Häusler, Heike Mersmann-Hoffmann, Sigrid Richter, Lise Allirand, Karin Bukenberger, Maike Engelhardt, Juana Salas Poblete#784002Deutsche Nationalbibliothek
• Power-Optimized AI-Enhanced Telepresence Robots: A Validated Multi-Modal Framework for Sustainable Remote Learning in Higher Education#302491Springer Nature OA
• Impact of a Practical, Hands-On, Continuing Professional Development Course About AI in Health Care Professions Education on the Perceptions and Behaviors of Health Care Educators: Qualitative Case Study.#312385NCBI PubMed Central
• Integrating Reading, Writing, and Digital Tools in Science: A Participatory-Design Study of the InSPECT Framework#19970DOAJ
• Affect-Adjusted Multimodal Analytics of Cognitive Load Indicators in Adult L2 Speaking: An Exploratory Study of Corrective Feedback Timing#251701OSF
• The Process of Integrating Generative Artificial Intelligence into Litigation Skills Training for Law Students#384649HAL (France)
• Introducing GenAI to assessment in Higher Education risks the social contract between staff and students: a qualitative study#385672OSF
• Fostering responsible AI use in communication: An integrated approach to digital literacy education#394949DigitalCommons@URI
• Decoding symmetric and asymmetric pathways in generative AI learning adoption : a multi-method study#474221University of Pretoria Repository
• Perceived Threats and Responses in AI Displacement Discourse: A Synthesis Literature Review on Student Susceptibility Through the EPPM Lens#976974OSF
• Dataset and supplementary materials for "Primary EFL Learners' Reception of an AI-Generated Anime in a Subtitling Activity: An Exploratory Study"#13279DataCite
• Dataset and supplementary materials for "Primary EFL Learners' Reception of an AI-Generated Anime in a Subtitling Activity: An Exploratory Study"#13280DataCite
• Prompt Engineering for GenAI in Cybersecurity Incident Response: A Multi-Platform Evaluation Based on NICE PR-IR-001#311311DigitalCommons@Kennesaw State University
• Juicio didáctico-matemático sobre el output de la IA generativa: revisión integrativa crítica de la evidencia empírica en educación matemática#631964SocArXiv
• Table 2_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.xlsx#424566Figshare
• Table 1_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424568Figshare
• Table 3_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424569Figshare
• Table 5_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424571Figshare
• Table 4_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424572Figshare
• The Fay Institute Learning Framework (FILF): A Practitioner-Developed Instructional Design Framework for AI-Powered Educator Course Creation in East African Contexts#173497OSF
• Supplementary file 1_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424567Figshare
• Supplementary file 2_Large language models versus expert clinicians in optimizing Chinese patient education materials for temporomandibular disorders: a mixed-methods study integrating readability, accuracy, actionability, and cultural adaptability.docx#424570Figshare
• Undergraduate Design Spine for Biological Systems Engineering and Agricultural Engineering#224041DigitalCommons@University of Nebraska
• Navigating Generative AI in Honors#463965DigitalCommons@University of Nebraska
• Sistema de Tutoría Inteligente con Inteligencia Artificial para la Personalización del Aprendizaje en Educación Media Superior en México: Diseño, Marco de Política y Proyección de Impacto del STIA-EMS#316561OSF
• The effectiveness of multilingual AI-based simulator for suicide risk assessment training in improving self-efficacy among young psychiatrists: a pilot study across twenty languages#304609HAL (France)
• Understanding Generative Language Models From the Inside-Out and the Outside-In: Examining Teens’ Technical and Socio-Ethical Pieces of Understandings When Designing and Auditing Models#929404ScholarlyCommons
• PREreview of "ETHICAL AUDIT OF ARTIFICIAL INTELLIGENCE ALGORITHMS: PROBLEMS AND CHALLENGES FOR MODERN LEGISLATION"#407455Zenodo (CERN)
• The Persistent Treatise#485882LawArXiv
• Operationalizing Supply-Chain Hygiene in Graduate IS Education: A Hands-On Module for Secure Software and AI/ML Pipelines#322155DigitalCommons@Kennesaw State University
• Teaching personalized doctor-patient communication with AI: PerTRAIN – a prototype for interpersonally responsive virtual patients in medical education / Anna Junga, Ole Hätscher, Jennifer Dabel, Gabriyel Mado, Alberta Ajani, Leon Pielage, Pascal Kockwelp, Simon M. Breil, Helena Baur, Jan Siebenbrock, Benjamin Risse, Tanja B. Grammer, Bernhard Marschall, Mitja Back#669284Deutsche Nationalbibliothek
• 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)