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Full Description
This book constitutes the refereed proceedings of the 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024, held in Thessaloniki, Greece, during June 10-13, 2024.
The 35 full papers and 28 short papers included in this book were carefully reviewed and selected from 88 submissions. This book also contains 2 invited talks. They were organized in topical sections as follows: Generative Intelligence and Tutoring Systems; Generative Intelligence and Healthcare Informatics; Human Interaction, Games and Virtual Reality; Neural Networks and Data Mining; Generative Intelligence and Metaverse; Security, Privacy and Ethics in Generative Intelligence; and Generative Intelligence for Applied Natural Language Processing.
Contents
.- Generative Intelligence and Healthcare Informatics.
.- Elevating Medical Efficiency and Personalized Care through the Integration of Artificial Intelligence and Distributed Web Systems.
.- Human Interaction, Games and Virtual Reality.
.- Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTM.
.- Assessing Cognitive Workload of Aircraft Pilots through Face Temperature.
.- Profiles of Performance: Game-Based Assessment of Reading Comprehension Skill.
.- Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities.
.- From Novice to Expert: Unraveling the Impact of Experience on Cognitive Load and Physiological Responses in Aviation Pilots.
.- Kahoot! as a Tool to Maintain Students' Attention and Increase Retention Rates: An Experience Report with Computer Science Students.
.- Adoption of digital games as pedagogical aids for teachers and pupils in primary schools to overcome learning problems in arithmetic.
.- Educational games for Computational Thinking: Evaluation of the Scaffolded aMazeD game.
.- Neural Networks and Data Mining.
.- MonaCoBERT: Monotonic Attention based ConvBERT for Knowledge Tracing.
.- Detection of Pre-Error States in Aircraft Pilots Through Machine Learning.
.- Mining Discriminative Sequential Patterns of Self-Regulated Learners.
.- Analysis of machine learning models for academic performance prediction.
.- Simplifying Decision Tree Classification through the AutoDTrees Web Application and Service.
.- LBKT: A LSTM BERT-based Knowledge Tracing Model for Long-Sequence Data.
.- Educational Support for Automated Classification of UML Diagrams using Machine Learning.
.- Model Decomposition of Robustness Diagram with Loop and Time Controls to Petri Net with Considerations on Resets.
.- Well-handledness in Robustness Diagram with Loop and Time Controls.
.- Generative Intelligence and Metaverse.
.- Enhancing Reinforcement Learning Finetuned Text-to-Image Generative Model using Reward Ensemble.
.- Multi-scale Intervention Planning based on Generative Design.
.- Security, Privacy and Ethics in Generative Intelligence.
.- Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners.
.- Generative Intelligence for Applied Natural Language Processing.
.- A Rule-based Chatbot offering Personalized Guidance in Computer Programming Education.
.- Deploying ChatGPT for automated tagging of Greek dialogue data of university students.
.- Paraphrase Generation and Identification at Paragraph-Level.
.- Educational Knowledge Graph Creation and Augmentation via LLMs.
.- Semi-Automatic Construction of Bidirectional Dialogue Dataset for Dialogue-based Reading Comprehension Tutoring System using Generative AI.
