🏷️ active-learning
37 pages tagged with active-learning(28 articles, 9 concepts)
📄 Bots and Blocks: Presenting a Project-Based Approach for Robotics Education
> **Synthesis:** Geger, Briechle, and Rausch (2026) propose a project-based learning approach for teaching robotics in higher education, arguing that classic study programs often fail to prepare stude…
🏷️ Embodied Learning
> **Embodied learning** — the pedagogical principle that learning is grounded in bodily experience, physical interaction, and the sensory-motor context of the learner. Embodied approaches hold that co…
🏷️ Experiential Learning
> **Experiential learning** — learning through direct experience, reflection, and the application of knowledge in authentic or hands-on contexts ("learning by doing"). Drawing on Kolb's experiential l…
🏷️ Game-Based Learning
> **Game-based learning (GBL)** — the use of games themselves (digital or physical) as the medium and context for learning, where the game's mechanics, challenges, and progression carry educational co…
🏷️ Gamification
> **Gamification** — the application of game-design elements (points, badges, levels, leaderboards, challenges, progress bars) to non-game contexts to motivate and engage users. Unlike [[game-based-le…
🏷️ Project-Based Learning
> **Project-based learning (PBL)** — an active, learner-centred pedagogy in which students learn by engaging in extended, real-world projects that require inquiry, problem solving, and the application…
🏷️ Simulation
> **Simulation** — the use of modeled environments, agents, or scenarios to support learning through practice and feedback in contexts that are safe, repeatable, and often otherwise inaccessible. Simu…
🏷️ Active Learning
> **Active Learning** — instructional approaches that engage students in doing things and thinking about what they are doing, rather than passively receiving information. In AI in education, active le…
📄 Hypergamigication Through Integrating Game Engines and Learning Management Systems: Ender's Game
> **Araz Yusubov, Michael Bechtel, Tangiz Alizada** — arXiv preprint (2026).…
📄 Development and applications of Generative AI in architectural design studios
Examines the integration of deep generative models into architectural design education. The findings, based on students' views and observations in design studios, suggest that GenAI supports the explo…
📄 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,…
🏷️ Reinforcement Learning
> **Reinforcement learning** trains AI tutors and agents through reward signals: [[special-r1-rl-special-education]], [[singh-eduqwen-pedagogical-rl-2026]], [[pedagogical-safety-rl]], and [[ai-coachin…
2026-07-28 · llm, pedagogical-safety, intelligent-tutoring, special-education, personalized-learning
📄 Evaluating a Visual Query Tracer and Builder for Learning Declarative Logic Programming
Nemo Explain Visualizer (nev) is an interactive visual query tracer and builder for the Datalog reasoner Nemo. Although built for expert users, the authors conducted a qualitative study with 14 partic…
📄 A Semi-Automated System for Generating Dialogue-Based TTS Lessons Using Large Language Models: An Exploratory Study of Educational Potential
**Gendo Kumoi, Fumie Watanabe, Tota Suko, Takashi Ishida, et al. (2026)** - arXiv preprint (IEEE). arXiv preprint. Kumoi, G., Watanabe, F., Suko, T., Ishida, T., et al. (2026). [A Semi-Automated Syste…
📄 Adoption-Ready Project-Based Learning for Computing Education: The FORAP Framework and a Multi-Scale Project Portfolio
Presents FORAP (Framework for Organizing Reusable and Adaptable Project-Based Learning projects) and a portfolio of 14 adoption-ready PjBL packages for computing education. The framework addresses the…
📄 Q-Learning Lab: Teaching Reinforcement Learning Through Learner-Generated Trace Analysis
> Presents Q-Learning Lab, a single-file tool that makes the Bellman update concrete by letting undergraduates inspect how each value is computed and why actions are chosen, through learner-generated …
2026-07-14 · higher-ed, reinforcement-learning, stem-education, self-regulated-learning, scaffolding
📄 Flowcode: An AI-Powered Programming Environment for Scaffolding Iteration in Creative Computing Education
Building upon found examples is a popular way people learn to code, especially in creative coding communities where sharing projects and remixing are common practices. But effectively doing so require…
📄 A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding
Large language models generate code from natural language prompts, enabling vibe coding, which allows non-programmers to develop computational solutions. Vibe coding for teachers amplifies the teacher…
📄 Data Comics for Education: Evaluating Effectiveness, Benefits, and the Ethics of AI-Assisted Creation
Data comics combine sequential visual narratives with data visualization to improve student engagement with [[generative-ai]] in educational settings. This paper evaluates the effectiveness of AI-assi…
📄 Visualizing Engineering Fundamentals: Design of Mixed Reality and Physical Toolkits for Effective Learning
> **Mohammad Abu Nasir Rakib, Sharmin Akter, Eshwara Prasad Sridhar, Somik Biswas, Md Rassel Raihan, Mahmudur Rahman** — submitted 1 Jul 2026…
📄 An exploratory behavioral and electroencephalographic study of artificial intelligence-assisted learning modes in high school students
📄 [PDF](https://arxiv.org/pdf/2606.26579) This study investigates how different modes of AI interaction affect cognitive engagement and learning outcomes in high school students. Using a within-subje…
📄 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]] …
2026-06-24 · intelligent-tutoring, llm, generative-ai, professional-training, simulation-based-learning
📄 Curiosity as Linguistic Intervention: Using LLM Tutoring Dialogues to Influence Exploratory Learning Behavior
Ganganath et al. (2026) introduce CURIOBOT, a framework that operationalizes Berlyne's four collative variables (novelty, complexity, conflict, uncertainty) as adaptive linguistic interventions in con…
📄 Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests
Liu et al. (2026) report on a 13-week Test-Driven, AI-Assisted (TDAA) redesign of a Theory of Computation course at HKUST (Guangzhou). The course replaced all lectures with self-directed, AI-assisted …
📄 Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations
> **Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Khushi Malik, Bogdan Simion, Carolina Nobre, Angela Zavaleta Bernuy, Andrew Petersen, Michael Liut** (2026). ICER 2026…
2026-06-19 · cs-education, student-experience, scaffolding, feedback-loop, multi-representational-tools
📄 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…
📄 What do you mean by human-AI collaboration: Prerequisite functions and the affordances needed to achieve it
> Asks what is gained and lost when 'collaboration' is applied freely to human-AI interaction. Argues true collaboration requires symmetric/negotiated relationship, shared goals, low and shifting divi…
2026-06-16 · intelligent-tutoring, scaffolding, student-experience, teacher-role, learning-analytics
📄 AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns across Experience, Cohorts and the Learning Design
**Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz** — AIED 2026 — cs.HC, cs.AI This paper presents an AI-based speech processing approach to ana…
📄 Design and Implementation of a Real-time Multi-site Immersive Learning System Using Photon Fusion
> This paper develops a VR-based immersive learning environment using Photon Fusion that allows teachers and students to be present in the same virtual space regardless of physical locations. The syst…
📄 Role of Instructional Guidance in Generative AI-Assisted Learning
Investigates how instructional guidance shapes student-AI interaction in [[higher-ed|construction engineering education]]. Introduces a **five-step prompting framework** grounded in Generative Learnin…
📄 Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
> A pedagogical model where human mentors and AI tools jointly support student learning in project-based contexts. Human mentors provide conceptual guidance, debugging, and problem formulation support…
📄 The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking
> An instructional approach that deliberately leverages AI errors, hallucinations, and limitations as teaching tools to foster higher-order thinking. Rather than viewing AI mistakes as failures to be …
📄 Multimodal Learning with Generative AI
> The guide adopts a middle way between "techno-fixing" and rejecting AI as an existential threat. It argues that: > A comprehensive educator's guide to integrating Generative AI into multimodal teach…
📄 Principled AI in Education
> The framework rests on three interconnected anchors that must be addressed *before* selecting tools: > Rejecting the binary promise-vs-peril discourse and the rush to immediate implementation, Finke…
🏷️ Socratic AI Dialogue
> Socratic dialogue — asking structured questions rather than providing answers — is one of the strongest pedagogical scaffolds for deep learning. When automated via AI, it produces measurable reasoni…