Description
Book Synopsis.- 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.
