000 06448nam a22005895i 4500
001 978-3-031-63028-6
003 DE-He213
005 20240730172338.0
007 cr nn 008mamaa
008 240601s2024 sz | s |||| 0|eng d
020 _a9783031630286
_9978-3-031-63028-6
024 7 _a10.1007/978-3-031-63028-6
_2doi
050 4 _aLB1028.43-1028.75
072 7 _aJNV
_2bicssc
072 7 _aEDU039000
_2bisacsh
072 7 _aJNV
_2thema
082 0 4 _a371.334
_223
245 1 0 _aGenerative Intelligence and Intelligent Tutoring Systems
_h[electronic resource] :
_b20th International Conference, ITS 2024, Thessaloniki, Greece, June 10-13, 2024, Proceedings, Part I /
_cedited by Angelo Sifaleras, Fuhua Lin.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXVII, 427 p. 123 illus., 80 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14798
505 0 _a -- 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.
520 _aThis 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.
650 0 _aEducation
_xData processing.
_982607
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aArtificial intelligence.
_93407
650 0 _aSocial sciences
_xData processing.
_983360
650 1 4 _aComputers and Education.
_941129
650 2 4 _aComputer Engineering and Networks.
_9103205
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aSifaleras, Angelo.
_eeditor.
_0(orcid)
_10000-0002-5696-7021
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9103206
700 1 _aLin, Fuhua.
_eeditor.
_0(orcid)
_10000-0002-5876-093X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9103208
710 2 _aSpringerLink (Online service)
_9103209
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031630279
776 0 8 _iPrinted edition:
_z9783031630293
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14798
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-63028-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cEBK
999 _c88232
_d88232