{"product_id":"artificial-intelligence-in-education-posters-and-late-breaking-results-workshops-and-tutorials-industry-and-innovation-tracks-practitioners-doctoral-consortium-blue-sky-and-wideaied-9783031992605","title":"Artificial Intelligence in Education. Posters and Late Breaking Results Workshops and Tutorials Industry and Innovation Tracks Practitioners Doctoral Consortium Blue Sky and WideAIED","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- BlueSky.\u003c\/strong\u003e\u003cbr\u003e.- \u003cspan data-olk-copy-source=\"MessageBody\"\u003eCLJ4AI: Citizen Learning Journey for AI\u003c\/span\u003e.\u003cbr\u003e.- Why the Future of AIED is Causal: Arguments for Creating a Tradition Based on Causal Thinking.\u003cbr\u003e.- Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems.\u003cbr\u003e.- AI in Educational Digital Escape Rooms: State of the Art and Perspectives.\u003cbr\u003e.- On the role of domain experts in creating effective tutoring systems.\u003cbr\u003e\u003cstrong\u003e.- Practitioners, Industry and Policy.\u003cbr\u003e\u003c\/strong\u003e.- SchrijfBlik: Safeguarding the validity of writing assessment in the age of AI.\u003cbr\u003e.- AMELIA: An AI teaching assistant for equitable STEM Education in Rural Peru.\u003cbr\u003e.- MindMate: An LLM-Powered Mental Health Companion for Adolescents.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e.- A Conversational Tool Based on Knowledge Graph, LLMs and BERT Model for Work-Study Programs in France.\u003cbr\u003e.- From Insights to Impact: An Agentic Learning Intelligence Framework for Student-Centred Success.\u003cbr\u003e.- Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes.\u003cbr\u003e.- Building Effective Safety Guardrails in AI Education Tools.\u003cbr\u003e.- A Gateway for Egalitarian Access to LLM Based Resources.\u003cbr\u003e.- Systematic Control of Multiple-Choice Item Difficulty through LLM-Based Distractor Generation.\u003cbr\u003e.- Towards Actionable GenAI-Classroom Integration: A Social Role Framework for Teacher’s Practice.\u003cbr\u003e.- SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- WideAIED\u003cbr\u003e\u003c\/strong\u003e.- AI Coding Assistants in Competitive Programming: Empirical Studies from India on Human-AI Interactions in Learning, Problem Solving, and Curiosity Development Perspectives.\u003cbr\u003e.- Gamified Intelligent Communities of Practice: A Path To Support Underprivileged Teachers.\u003cbr\u003e.- Artificial Intelligence and Public Education Policy: Improving Textbook Evaluation in Brazil.\u003cbr\u003e.- Prediction of Online Mathematics Test Efficiency Based on Stacked Integrated Models: A Case Study of NAEP Data.\u003cbr\u003e.- Structural and Semantic Analysis Techniques for Translation Evaluation of Educational Materials.\u003cbr\u003e.- Advancing MOOCs Personalization: The Role of Generative AI in Adaptive Learning Environments.\u003cbr\u003e.- Does the Early Bird Get the Worms? K -12 Teachers’ Perceptions on the Use of Generative Artificial Intelligence in Chinese Classrooms.\u003cbr\u003e.- MAS-CPS Assessor: A System for Evaluating Collaborative Problem-Solving Skills in Multi-Agent Environments.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Doctoral Consortium\u003cbr\u003e\u003c\/strong\u003e.- Evaluating the Impact of LLM-Generated Assignment Report Summaries in Intelligent Tutoring Systems.\u003cbr\u003e.- Fair for whom? Investigating school identity, algorithmic fairness, and educational technologies.\u003cbr\u003e.- Fine-tuning Large Language Models for Knowledge Tracing Harnessing Insights from Explainable AI.\u003cbr\u003e.- Assessing the Effectiveness of GenAI Tutoring for Tertiary Academic Probation Students: A Repeated Measures Study using ChatGPT.\u003cbr\u003e.- \u003cspan data-olk-copy-source=\"MessageBody\"\u003eAI-Powered Classification of Medical Students’ Professionalism Profiles\u003c\/span\u003e.\u003cbr\u003e.- Identifying and Fostering Self-Regulated Learning Among Computer Programmers Using Artificial Intelligence Systems.\u003cbr\u003e.- Personality-Aware Conversational Intelligent Tutoring System with GenAI: Studying the effect on Learners in Introductory Programming.\u003cbr\u003e.- Perceptions of Secondary School Students Solving Math Word Problems in a Foreign Language with GenAI Support.\u003cbr\u003e.- Designing An Ethical Framework for the Integration of Generative AI in Higher Education: Balancing Stake-holder Interests and Enhancing Learning Outcomes.\u003cbr\u003e.- Augmenting LLM Generated Feedback with Data Mining.\u003cbr\u003e.- Towards Ordinal Few-Shot Learning for Automated Essay Grading.\u003cbr\u003e.- Rewriting the Rules: LLMs vs. Traditional ML in University Admissions .\u003cbr\u003e.- A Learner-AI-Parent Collaboration Framework for Home Learning Environment.\u003cbr\u003e.- LFPKT: Enhancing Learning and Forgetting Processes in Attention Based Knowledge Tracing Models.\u003cbr\u003e.- Towards Secure AI in Education: A Case Study on Automatic Short Answer Grading.\u003cbr\u003e.- Integrating Learner Models: The mAIchart Project.\u003cbr\u003e.- Enhancing Knowledge Tracing with Large Language Models (LLMs).\u003cbr\u003e.- Towards Mining Effective Pedagogical Strategies from Learner–LLM Educational Dialogues.\u003cbr\u003e.- Intelligent Support for Practice Goal Setting to Enhance Learning.\u003cbr\u003e.- Toward Extracting Computational Thinking Evidence with Large Language Models: Empowering K-12 Educators.\u003cbr\u003e.- Comparing the Effectiveness of Digital Game-Based Learning and Embodied Learning.\u003cbr\u003e.- AI-Powered Intelligent Tutoring System for Game Design Document Writing.\u003cbr\u003e.- Improving Student Support Personalization with Historical Data and Theoretically Informed Feature Choice.\u003cbr\u003e.- Predicting At-Risk Programming Students in Small Imbalanced Datasets using Synthetic Data.\u003cbr\u003e.- Exploring Multimodal Quiz Generation and Evaluation Aligned with Higher-Order Learning Objectives in Bloom’s Taxonomy.\u003cbr\u003e.- Adaptive, Scalable, and Human-Centered Technology for Data Visualization Literacy and Educational Assessment Development.\u003cbr\u003e.- Designing and Evaluating AI-generated Multimodal Analogy-Based Explanations.\u003cbr\u003e.- Multimodal Story Generation Using Generative AI for Contextualised Mathematics Education.\u003cbr\u003e.- Large Language Models to Enhance Learning In Cultural Heritage.\u003cbr\u003e.- Understanding Human-GenAI Collaboration for Complex Problem-Solving Tasks in Online Settings.\u003cbr\u003e.- \u003cspan data-olk-copy-source=\"MessageBody\"\u003eOverview of AI Grading of Physics Olympiad Exams\u003c\/span\u003e.\u003cbr\u003e.- From One-Size-Fits-All to Personalisation: Transforming Gamified Learning Through Localisation and Multidimensionality in the Arab Culture.\u003cbr\u003e.- Supporting Information Problem Solving in the Age of Misinformation and Generative AI: A Socio-technical Approach.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195506909527,"sku":"9783031992605","price":71.24,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-in-education-posters-and-late-breaking-results-workshops-and-tutorials-industry-and-innovation-tracks-practitioners-doctoral-consortium-blue-sky-and-wideaied-9783031992605","provider":"Book Curl","version":"1.0","type":"link"}