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ORCID20th ITS 2024: Thessaloniki, Greece - Part I
- Angelo Sifaleras
, Fuhua Lin:
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 14798, Springer 2024, ISBN 978-3-031-63027-9
Generative Intelligence and Tutoring Systems
- Jaime Arnau-Blasco, Miguel Arevalillo-Herráez, Sergi Solera-Monforte, Yuyan Wu:
Using Large Language Models to Support Teaching and Learning of Word Problem Solving in Tutoring Systems. 3-13 - Yuyan Wu, Miguel Arevalillo-Herráez, Sergi Solera-Monforte:
A Generative Approach for Proactive Assistance Forecasting in Intelligent Tutoring Environments. 14-26 - Viktor A. Uglev, Georgy Smirnov:
Combined Maps as a Tool of Concentration and Visualization of Knowledge in the Logic of Operation of the Intelligent Tutoring Systems. 27-39 - Raymond Morland, Lawrence Wang, Fuhua Oscar Lin:
Fast Weakness Identification for Adaptive Feedback. 40-54 - Fuhua Oscar Lin, Raymond Morland, Hongxin Yan:
QuizMaster: An Adaptive Formative Assessment System. 55-67 - Michael Pin-Chuan Lin, Daniel Chang, Sarah Hall, Gaganpreet Jhajj:
Preliminary Systematic Review of Open-Source Large Language Models in Education. 68-77 - Sandeep Kakar, Pratyusha Maiti, Karan Taneja, Alekhya Nandula, Gina Nguyen, Aiden Zhao, Vrinda Nandan, Ashok K. Goel:
Jill Watson: Scaling and Deploying an AI Conversational Agent in Online Classrooms. 78-90 - Yanggyu Lee, Suchae Jeong, Jihie Kim:
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts. 91-103 - Hyunhee Choi, Hayun Lee, Minjeong Lee:
Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Data. 104-116 - Alexander Pögelt, Katja Ihsberner, Norbert Pengel, Milos Kravcik, Martin Grüttmüller, Wolfram Hardt:
Individualised Mathematical Task Recommendations Through Intended Learning Outcomes and Reinforcement Learning. 117-130 - Jeongmin Lee, Jin-Xia Huang, Minsoo Cho, Yoon-Hyung Roh, Oh-Woog Kwon, Yunkeun Lee:
Developing Conversational Intelligent Tutoring for Speaking Skills in Second Language Learning. 131-148 - Sandeep Kakar, Rhea Basappa, Ida Camacho, Christopher Griswold, Alex Houk, Christopher Leung, Mustafa Tekman, Patrick Westervelt, Qiaosi Wang, Ashok K. Goel:
SAMI: An AI Actor for Fostering Social Interactions in Online Classrooms. 149-161 - Irene-Angelica Chounta, Bibeg Limbu, Lisa van der Heyden:
Exploring the Methodological Contexts and Constraints of Research in Artificial Intelligence in Education. 162-173 - John Kos, Dinesh Ayyappan, Ashok K. Goel:
A Constructivist Framing of Wheel Spinning: Identifying Unproductive Behaviors with Sequence Analysis. 174-187 - Angelo Gaeta, Francesco Orciuoli, Antonella Pascuzzo, Angela Peduto:
Evaluating the Ability of Large Language Models to Generate Motivational Feedback. 188-201 - Guy Carlos Tamkodjou Tchio, Roger Nkambou, Ange Adrienne Nyamen Tato, Valéry Psyché:
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. 202-216 - Haiying Li, Fanshuo Cheng, Grace Wang, Zhiqiang Cai, Art Graesser:
Impact of Conversational Agent Language and Text Structure on Student Language. 217-231 - Ashish Garg, Ramkumar Rajendran:
Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering. 232-243 - Kirill Kulyukin, Grigoriy Yakimov, Oleg Sychev:
Detecting Function Inputs and Outputs for Learning-Problem Generation in Intelligent Tutoring Systems. 244-257 - Andrea Sterbini, Marco Temperini:
Automated Analysis of Algorithm Descriptions Quality, Through Large Language Models. 258-271 - Hongxin Yan, Fuhua Lin, Kinshuk:
An AI-Learner Shared Control Model Design for Adaptive Practicing. 272-280 - Haya Shamir, Mikayla Tom, David Pocklington, Erik Yoder, Alexander Houchins:
Early Math Skill as a Predictor for Foundational Literacy. 281-290 - April Clarke, Antonija Mitrovic:
Explaining Problem Recommendations in an Intelligent Tutoring System. 291-299 - Sandra Katz, Patricia L. Albacete, Pamela W. Jordan, Scott Silliman, Matthew Wrzesniewski:
Implementing Distributed Feedback in a Tool that Supports Peer-to-Peer Simulation in Healthcare. 300-311 - Ansgar Fehnker, Luke Glover:
Keeping Humans in the Loop: LLM Supported Oral Examinations. 312-319 - Le Minh Duc Nguyen, Fuhua Oscar Lin, Maiga Chang:
Generating Learning Sequences Using Contextual Bandit Algorithms. 320-329 - Stavros A. Nikou, Arjun Guliya, Suraj Van Verma, Maiga Chang:
A Generative Artificial Intelligence Empowered Chatbot: System Usability and Student Teachers' Experience. 330-340 - Deok Yeop Kim, Woo Jin Lee:
Predicting Rough Error Causes in Novice Programmers Using Cognitive Level. 341-350 - Rhea Basappa, Mustafa Tekman, Hong Lu, Benjamin Faught, Sandeep Kakar, Ashok K. Goel:
Social AI Agents Too Need to Explain Themselves. 351-360 - Dimitrios Tzimas, Stavros N. Demetriadis:
Students' Perceptions of Adopting Learning Analytics. 361-368 - Stefano D'Urso, Filippo Sciarrone:
AI4LA: An Intelligent Chatbot for Supporting Students with Dyslexia, Based on Generative AI. 369-377 - Paraskevas Lagakis, Stavros N. Demetriadis:
EvaAI: A Multi-agent Framework Leveraging Large Language Models for Enhanced Automated Grading. 378-385 - Aidan Murphy, Mahsa Mahdinejad, Syed Saeed Ahmad, Joe Kenny, Anthony Ventresque:
Optimising a Peer Based Learning Environment. 386-394 - Henri Jamet, Yash Raj Shrestha, Michalis Vlachos:
Difficulty Estimation and Simplification of French Text Using LLMs. 395-404 - George C. Zografos, Vasileios Kefalidis, Lefteris Moussiades:
LLM-Based Course Comprehension Evaluator. 405-414 - Mohamed Lamgarraj, Céline Joiron, Aymeric Parant, Gilles Dequen:
Exploring Item Difficulty Prediction: Data Driven Approach for Item Difficulty Estimation. 415-424
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