🏷️ professional-training
39 pages tagged with professional-training(36 articles, 3 concepts)
📄 CyberAGENTS: Structured Autonomy for Agentic Gamified Learning in Cybersecurity
> **Synthesis:** Hornung et al. (2026) present **CyberAGENTS**, an agentic framework for gamified cybersecurity learning that enables *structured autonomy* through ontology-guided validation, schema-g…
📄 Embodied Inquiry with AI as Facilitator: An Exploratory Case Study
> **Synthesis:** Tufino & Damiani (2026) explore where a language-based AI can stand within an inquiry activity without displacing embodied experience, using a Master's-level physics education course …
📄 Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy
> **Synthesis:** Xu et al. (2026) present an agentic AI-driven immersive simulation for training in **High Dose Rate (HDR) brachytherapy**, integrating VR and mobile computing to create a high-fidelit…
📄 ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
> **Synthesis:** Liévin et al. (2026) present **ResidencyRL**, a reinforcement learning method for training clinical AI agents through simulated multi-turn clinical encounters (up to 60 dialogue turns…
📄 Artificial Intelligence as Catalyst and Contested Terrain: Transforming Interior Design Practice, Pedagogy, and Professional Regulation in Malaysia
> **Synthesis:** This article examines how generative AI and intelligent visualization platforms are reshaping interior design practice in Malaysia, shifting designers from primary form-generators tow…
📄 Efficacy of an Intensive Generative AI Professional Development Program on Pedagogical Content Knowledge (AI-PCK) and the Comparative Analysis of Learning Gain between Experienced and Pre-service Teachers
> **Synthesis:** This quasi-experimental study of an intensive 8-hour generative-AI professional development program with 163 teachers and pre-service teachers found significant gains across all five …
📄 Teacher education for artificial intelligence literacy through a self-determination theory perspective
> **Synthesis:** Chiu, Bali, Tondeur, Howard, and Chan (2026) apply self-determination theory (SDT) to investigate how need-supportive professional development (PD) impacts teachers' AI literacy, atti…
📄 Policy Fragmentation or Institutional Alignment? Institutional Governance of AI in Universities and Business Schools
> **Synthesis:** This study analyzes AI policies across higher education institutions in 34 U.S. states, using NLP to uncover a clear divergence: university-level policies emphasize data security and …
📄 Navigating the skill diversity frontier: How skill complexity explains worker resilience
> **Synthesis:** Using LinkedIn data on 2.4 million U.S. workers and 16,753 distinct skills, this paper introduces three complementary measures of skill complexity — specialization, diversity, and the…
📄 What out-of-the-box LLMs can(t) do in law? A Turing test in Italian exams for lawyers, judges and notaries
> **Synthesis:** This paper reports a blind Turing Test evaluating leading LLMs on three Italian professional legal examinations: the Bar exam, Judges exam, and Notary exam. LLMs generated full writte…
📄 Guidelines for Designing AI Technologies to Support Adult Learning
> **Synthesis:** Drawing on longitudinal deployment data from the National AI Institute for Adult Learning and Online Education (AI-ALOE), this DIS 2026 paper synthesizes 19 empirically grounded desig…
📄 AI Literacy for Legal Translation: Developing Digital Resilience
> **Synthesis:** Proposes a four-component AI literacy framework for legal translation professionals: conceptual AI knowledge, technical operational skills, critical evaluation competencies, and ethic…
📄 AI-accelerated End-to-End Framework for Rapid Professional Upskilling
> **Synthesis:** The Crew Scaler framework applies AI acceleration across all five stages of professional upskilling—knowledge acquisition, content development, content review and verification, AI-tut…
🏷️ Adult Learning
> **Adult Learning** — a key concept in AI in education research. Explored across 1 articles in this wiki.…
📄 When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education
> **When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education** — Uses multipronged analysis (syllabi review, educator survey, qualitative interviews) and Role The…
📄 Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
> **An open, executable module library for engineering-grounded AI (EGAI) in power systems education lowers the entry barrier for newcomers, with a progressive difficulty ladder from DNN templates to …
📄 The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise
> **Nolan Lovett** — Human Resource Development Review (author accepted manuscript, 2026).…
2026-08-03 · generative-ai, educational-theory, cognitive-offloading, lifelong-learning, over-reliance
📄 Unanticipated Effects of Generative AI on Expertise Pathways and Performance Perception in System Administration
> **Rana Abou Khamis, Hala Assal, Ashraf Matrawy** — arXiv preprint (2026).…
2026-08-03 · generative-ai, cognitive-offloading, over-reliance, lifelong-learning, human-in-the-loop
📄 Artificial intelligence in vocational education and training: A systematic review of educational purposes, theoretical conceptualizations, and empirical effectiveness
> **Authors:** Viola Deutscher, Herbert Thomann, Olga Zlatkin-Troitschanskaia, Ulrike Weyland, Stephan Abele, Amory H. Danek, Samuel Greiff, Andreas Rausch, Susan Seeber, Jürgen Seifried, Esther Winth…
📄 Technology-Enhanced Tabletop Exercises for Cybersecurity Education: Lessons Learned
Innovative practice paper examining the integration of technology-enhanced tabletop exercises into cybersecurity curricula. Addresses the gap between professional TTX practice and university adoption,…
🏷️ Open Source
> **Open-source** AI in education is studied in [[lata-ferpa-compliant-local-llm-autograder]], [[vismatic-secure-sandbox-cs-education]], and [[open-source]] (tag) pages: local open models address [[pr…
📄 MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education
MedGame transforms static clinical cases into structured, executable storytelling games for medical education, moving beyond the localized question-answering and single-turn feedback that characterize…
📄 Designing for What Cannot Be Seen: Supporting Embodied String Learning for Musicians with Blindness and Low-Vision
Bowed string performance depends on fine bodily coordination usually taught through visual demonstration, creating persistent barriers for musicians with blindness and low-vision (BLV). This design st…
📄 Agents That Teach: Designing Incidental Learning Back into AI-Assisted Software Development
As AI coding agents take over substantial implementation work, developers increasingly lose the informal, effortful problem-solving through which software engineering expertise historically accumulate…
📄 Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
Prompt engineering is a critical yet undertaught skill for software developers, poorly served by traditional instruction because of its evolving, interactive, context-dependent nature. The authors int…
📄 Generative AI Literacy Training Improves Intelligence Analysts’ Discrimination of Real and AI-Generated Images
Kamali et al. (2026) evaluate a Generative AI Literacy training intervention designed to improve intelligence analysts' ability to distinguish real photographs from AI-generated images. In a controlle…
📄 A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges
This survey provides the first systematic review of automated presentation coaching systems, organizing them along a five-dimensional task taxonomy: segmental pronunciation, lexical stress, suprasegme…
📄 AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
This paper explores how an embodied AI agent can act as a [[scaffolding|coach]] that accelerates human motor-skill development using [[adaptive-learning|reinforcement learning]]. The authors argue tha…
2026-06-25 · intelligent-tutoring, personalized-learning, scaffolding, adaptive-learning, generative-ai
📄 SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation
SupplyNet is a gamified visual simulation system that uses a contextual graph-based [[llm]] multi-agent framework to model interdependent supply chain dynamics. Designed for [[professional-training]] …
📄 Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars
AI-driven interactive patient avatars for psychotherapy training provide accessible, repeatable practice with measurable skill improvement in evidence-based therapy techniques. Toward Accessible Psych…
📄 ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots
ASTRA uses autonomous AI sim-pilots for scalable air traffic control training; reduces dependency on human role-players while maintaining realistic scenario complexity. ASTRA: A Scalable Next-Generati…
📄 MedEasy: Designing AI Standardized Patients for Clinical Consultation Training
MedEasy multi-agent system simulates standardized patients with varying conditions for medical consultation training; outperforms script-based approaches in realism and adaptability. MedEasy: Designin…
📄 The Empirically Grounded Adaptive Virtual Patient for Psychotherapy Training
**Angela Chen, Siwei Jin, Catherine Bao, Canwen Wang, Robert E. Kraut, Tongshuang Wu, Haiyi Zhu** — cs.CY, cs.HC The Adaptive Virtual Patient (AVP) is an LLM-driven simulated patient for psychotherapy…
📄 TibetCPR: A Multimodal Tactile Feedback System for CPR Training in High-Altitude Regions
**Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding** — Accepted at MobileHCI 2026 — cs.HC TibetCPR is a low-cost, self-guided CPR training system that pairs depth-driven electrotactile feedback with r…
📄 A Taxonomy of Metacognitive Learning Scenarios in Professional Contexts: Integrating Systems Theory with Empirical Constraints
This paper addresses a fundamental gap in [[metacognition]] research: the lack of systematic integration of metacognitive theories into scenario taxonomies capable of guiding AI-enhanced professional …
2026-05-26 · metacognition, adaptive-learning, lifelong-learning, scaffolding, self-regulated-learning
📄 AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
Serious games are widely used for learning and training across domains such as healthcare, defense, and education. This chapter examines how contemporary AI approaches may support real-time instructio…
📄 Gen-AI-tecture: using generative AI to support architectural students in design tasks
Kapsalis (2026) presents one of the first empirical studies of generative AI integration in architectural design education, using a locally executed, discipline-specific tool within a mixed-methods fo…
📄 An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
Closed-loop ITS with multimodal affective scoring (facial, vocal, textual, oculomotor) produced significant presentation skill gains (Cohen's d = 0.39-0.90, N=204) over 30 days. This paper presents on…
🏷️ Lifelong Learning and AI
> Stub — pending source ingestion. Lifelong learning and AI support for continuous education beyond formal schooling.…