Generative Intelligence and Intelligent Tutoring Systems: 20th International Conference, ITS 2024, Thessaloniki, Greece, June 10–13, 2024, Proceedings, Part I: Lecture Notes in Computer Science, cartea 14798
Editat de Angelo Sifaleras, Fuhua Linen Limba Engleză Paperback – 6 iun 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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 482.92 lei 3-5 săpt. | |
| Springer Nature Switzerland – 6 iun 2024 | 482.92 lei 3-5 săpt. | |
| Springer Nature Switzerland – 6 iun 2024 | 507.56 lei 38-44 zile |
Din seria Lecture Notes in Computer Science
- 20%
Preț: 400.77 lei - 20%
Preț: 754.11 lei - 20%
Preț: 324.19 lei - 20%
Preț: 373.80 lei - 20%
Preț: 342.61 lei - 20%
Preț: 403.00 lei - 20%
Preț: 573.45 lei -
Preț: 395.25 lei - 20%
Preț: 487.46 lei - 20%
Preț: 355.27 lei - 20%
Preț: 731.97 lei - 20%
Preț: 293.24 lei - 20%
Preț: 669.21 lei - 20%
Preț: 984.64 lei - 20%
Preț: 620.33 lei - 20%
Preț: 336.86 lei - 20%
Preț: 330.54 lei - 20%
Preț: 313.87 lei - 20%
Preț: 679.09 lei - 20%
Preț: 373.16 lei - 20%
Preț: 782.57 lei - 20%
Preț: 434.17 lei - 20%
Preț: 489.11 lei - 20%
Preț: 904.16 lei - 20%
Preț: 375.72 lei - 20%
Preț: 400.17 lei - 20%
Preț: 432.78 lei - 20%
Preț: 631.96 lei - 20%
Preț: 432.11 lei - 20%
Preț: 1359.66 lei - 20%
Preț: 556.96 lei - 20%
Preț: 488.90 lei - 20%
Preț: 560.93 lei - 20%
Preț: 327.36 lei - 20%
Preț: 340.04 lei - 20%
Preț: 327.36 lei - 20%
Preț: 328.94 lei - 20%
Preț: 629.71 lei - 20%
Preț: 568.70 lei - 20%
Preț: 447.31 lei - 20%
Preț: 733.68 lei - 20%
Preț: 315.26 lei - 20%
Preț: 315.62 lei - 20%
Preț: 1020.28 lei - 20%
Preț: 850.42 lei - 20%
Preț: 1391.87 lei - 20%
Preț: 519.32 lei
Preț: 507.56 lei
Preț vechi: 634.45 lei
-20%
Puncte Express: 761
Preț estimativ în valută:
89.85€ • 104.36$ • 77.84£
89.85€ • 104.36$ • 77.84£
Carte tipărită la comandă
Livrare economică 27 februarie-05 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031630279
ISBN-10: 3031630270
Pagini: 427
Ilustrații: XXVII, 427 p. 123 illus., 80 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031630270
Pagini: 427
Ilustrații: XXVII, 427 p. 123 illus., 80 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
.- Generative Intelligence and Tutoring Systems.
.- Using Large Language Models to Support Teaching and Learning of Word Problem Solving in Tutoring Systems.
.- A Generative Approach for Proactive Assistance Forecasting in Intelligent Tutoring Environments.
.- Combined maps as a tool of concentration and visualization of knowledge in the logic of operation of the Intelligent Tutoring Systems.
.- Fast Weakness Identification for Adaptive Feedback.
.- QuizMaster: An Adaptive Formative Assessment System.
.- Preliminary Systematic Review of Open-Source Large Language Models in Education.
.- Jill Watson: Scaling and Deploying an AI Conversational Agent in Online Classrooms.
.- Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts.
.- Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Data.
.- Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning.
.- Developing Conversational Intelligent Tutoring for Speaking Skills in Second Language Learning.
.- SAMI: An AI Actor for Fostering Social Interactions in Online Classrooms.
.- Exploring the Methodological Contexts and Constraints of Research in Artificial Intelligence in Education.
.- A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis.
.- Evaluating the ability of Large Language Models to generate motivational feedback.
.- Towards Cognitive Coaching in Aircraft Piloting Tasks: Building an ACT-R Synthetic Pilot Integrating an Ontological Reference Model to Assist the Pilot and Manage Deviations.
.- Impact of Conversational Agent Language and Text Structure on Student Language.
.- Analyzing the role of Generative AI in fostering self-directed learning through Structured prompt engineering.
.- Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems.
.- Automated Analysis of Algorithm Descriptions Quality, through Large Language Models.
.- An AI-Learner Shared Control Model Design for Adaptive Practicing.
.- Early Math Skill as a Predictor for Foundational Literacy.
.- Explaining Problem Recommendations in an Intelligent Tutoring System.
.- Distributed Feedback in a Tool that Supports Peer-directed Simulation-based Training.
.- Keeping Humans in the Loop: LLM supported Oral Examinations.
.- Generating Learning Sequences Using Contextual Bandit Algorithms.
.- A Generative Artificial Intelligence empowered chatbot: System usability and student teachers’ experience.
.- Predicting Rough Error Causes in Novice Programmers using Cognitive Level.
.- Social AI Agents Too Need to Explain Themselves.
.- Students’ Perceptions of Adopting Learning Analytics.
.- AI4LA: an Intelligent Chatbot for Supporting Dyslexic Students, Based on Generative AI.
.- EvaAI: A Multi-Agent Framework Leveraging Large Language Models for Enhanced Automated Grading.
.- Optimising a Peer based Learning Environment.
.- Difficulty Estimation and Simplification of French Text Using Large Language Models.
.- LLM-based Course Comprehension Evaluator.
.- Exploring Item Difficulty Prediction: Data Driven Approach for Item Difficulty Estimation.
.- Using Large Language Models to Support Teaching and Learning of Word Problem Solving in Tutoring Systems.
.- A Generative Approach for Proactive Assistance Forecasting in Intelligent Tutoring Environments.
.- Combined maps as a tool of concentration and visualization of knowledge in the logic of operation of the Intelligent Tutoring Systems.
.- Fast Weakness Identification for Adaptive Feedback.
.- QuizMaster: An Adaptive Formative Assessment System.
.- Preliminary Systematic Review of Open-Source Large Language Models in Education.
.- Jill Watson: Scaling and Deploying an AI Conversational Agent in Online Classrooms.
.- Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts.
.- Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Data.
.- Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning.
.- Developing Conversational Intelligent Tutoring for Speaking Skills in Second Language Learning.
.- SAMI: An AI Actor for Fostering Social Interactions in Online Classrooms.
.- Exploring the Methodological Contexts and Constraints of Research in Artificial Intelligence in Education.
.- A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis.
.- Evaluating the ability of Large Language Models to generate motivational feedback.
.- Towards Cognitive Coaching in Aircraft Piloting Tasks: Building an ACT-R Synthetic Pilot Integrating an Ontological Reference Model to Assist the Pilot and Manage Deviations.
.- Impact of Conversational Agent Language and Text Structure on Student Language.
.- Analyzing the role of Generative AI in fostering self-directed learning through Structured prompt engineering.
.- Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems.
.- Automated Analysis of Algorithm Descriptions Quality, through Large Language Models.
.- An AI-Learner Shared Control Model Design for Adaptive Practicing.
.- Early Math Skill as a Predictor for Foundational Literacy.
.- Explaining Problem Recommendations in an Intelligent Tutoring System.
.- Distributed Feedback in a Tool that Supports Peer-directed Simulation-based Training.
.- Keeping Humans in the Loop: LLM supported Oral Examinations.
.- Generating Learning Sequences Using Contextual Bandit Algorithms.
.- A Generative Artificial Intelligence empowered chatbot: System usability and student teachers’ experience.
.- Predicting Rough Error Causes in Novice Programmers using Cognitive Level.
.- Social AI Agents Too Need to Explain Themselves.
.- Students’ Perceptions of Adopting Learning Analytics.
.- AI4LA: an Intelligent Chatbot for Supporting Dyslexic Students, Based on Generative AI.
.- EvaAI: A Multi-Agent Framework Leveraging Large Language Models for Enhanced Automated Grading.
.- Optimising a Peer based Learning Environment.
.- Difficulty Estimation and Simplification of French Text Using Large Language Models.
.- LLM-based Course Comprehension Evaluator.
.- Exploring Item Difficulty Prediction: Data Driven Approach for Item Difficulty Estimation.