Generative Systems and Intelligent Tutoring Systems, Kartoniert / Broschiert

Klappentext

.- Generative Tutoring Systems.

.- Leveraging Large Language Models for a Swahili Mathematics ITS in Tanzania: Designing Effective Prompts. .- Ensemble Stacking Case-Based Reasoning and a Stochastic Recommender Algorithm with the Hawkes Process Applied to ITS AI-VT. .- From Struggle (06-2024) to Mastery (2025) -- LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation. .- An Approach to Organizing Intelligent Tutoring Systems with Customizable Decision-Making Logic. .- Enhancing Pilot Training and Decision-Making Using Ontologies: A Cognitive Assistance Approach. .- Enhancing Intelligent Tutor for Program Element Scope Training: Lessons Learned. .- Scaling effective characteristics of ITSs: A preliminary analysis of LLM-based personalized feedback. .- Leveraging LLMs for Bayesian and Deep Knowledge Tracing in the Logic-Muse Intelligent Tutoring System. .- Mapping AI Tools in Education: A Topic Modeling Analysis of Cognitive, Metacognitive, & Affective Insights. .- AI-Generated Code Detection: An Examination of Current Tools in Education. .- Manchita: An AI-powered gamified learning environment. .- Unravelling Emotional Nuances: A Cross-Linguistic Analysis of Sentiment Differences in Multilingual Movie Version. .- A Method and Semi-automated AI Tool Supporting Tutors in PreparingAudio-Tactile Exercises for Blind Students. .- Generative AI Agents for Instructional Co-Design: A Sequential Agent-Based Approach Using a Low-Code / No-Code Platform. .- An Educational Virtual World System with Gamification Features and LLM Guided NPCs. .- Using Minigames to Teach Computer Architecture. .- AI-Powered Tutoring for Novice Programmers: Supporting Students Throughout Project Development. .- Evaluating an AI-Driven Chatbot Tutor for Enhancing Introductory Programming Learning. .- A Comprehensive Survey and Taxonomy on Large Language Model-Based Knowledge Tracing. .- Improving feedback generation in a drawing-based ITS. .- Language Models for Educational Question Generation: Practical challenges, Personalization opportunities, and Parameter Optimization. .- A Unified Ontological Approach for Modeling Domain Theory and Procedures: Applications, issues and prospects. .- Designing an AI Coaching System for Interactive Video-Based Skill Learning. .- A Negotiation and Explainable Approach to Automatically Reduce Cognitive Conflicts and Enhance Learner Model Accuracy in an Intelligent Tutoring System for Propositional Logic. .- Large Language Models Performance in Propositional Logic Proof Problems: Solving and Evaluating Argument Validity.