Title:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings
Author:
Wang, Ning. editor.
ISBN:
9783031363368
Edition:
1st ed. 2023.
Physical Description:
XXVIII, 826 p. 168 illus., 142 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1831
Contents:
Our Interactions Between AI and Education: Broadening Our Perspective on What AI Can Offer Education -- Computational Models of Learning: Deepening Care and Carefulness in AI in Education -- Towards the Future of AI-augmented Human Tutoring in Math Learning -- Empowering Education with LLMs - the Next-Gen Interface and Content Generation -- Conducting Rapid Experimentation with an Open-source Adaptive Tutoring System -- Workshop on AI Education in K-12 -- Tutorial: Educational Recommender Systems -- Equity, Diversity, and Inclusion in Educational Technology Research and Development -- AI and Educational Policy: Bridging Research and Practice -- Automated assessment and guidance of project work -- How to Open Science: Promoting Principles and Reproducibility Practices within the Artificial Intelligence in Education Community -- AI and Education. A view through the lens of human rights, democracy and the rule of law. -- AI in Education. Comingof Age. The Community Voice -- TUTORIAL: Designing, Building and Evaluating Intelligent Psychomotor AIED systems (IPAIEDS@AIED2023) -- Intelligent Textbooks -- AI to Support Guided Experiential Learning -- An Automated Approach to Assist Teachers in Recommending Groups of Students Associated with Collaborative Learning Techniques using Learning Paths in Virtual Learning Environments -- Structures in Online Discussion Forums: Promoting Inclusion or Exclusion? -- Assessment in Conversational Intelligent Tutoring Systems: Are contextual embeddings really better? -- A Recommendation System for Nurturing Students' Sense of Belonging -- Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game -- Evaluating a conversational agent for second language learning aligned with the school curriculum -- EngageMe: Assessing Student Engagement in Online Learning Environment Using Neuropsychological Tests -- Exploring the Effects of "AI-generated" Discussion Summaries on Learners' Engagement in Online Discussions -- Building Educational Technology Quickly and Robustly with an Interactively Teachable AI -- Investigating the impact of the mindset of the learners on their behaviour in a computer-based learning environment -- Leave No One Behind - A Massive Online Learning Platform Free For Everyone -- Innovative Software to Efficiently Learn English through Extensive Reading and Personalized Vocabulary Acquisition -- A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation -- Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia -- Automated Essay Scoring Incorporating Multi-level Semantic Features -- Promising Long Term Effects of ASSISTments Online Math Homework Support -- Using Decomposed Prompting to Answer Questions on a Course Discussion Board -- Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains -- Improving the Item Selection Process with Reinforcement Learning in Computerized Adaptive Testing -- The Role of Social Presence in MOOC Students' Behavioral Intentions and Sentiments Toward the Usage of a Learning Assistant Chatbot: A Diversity, Equity, and Inclusion Perspective Examination -- Audio Classifier for Endangered Language Analysis and Education -- Quantifying Re-Engagement in Minecraft -- Teamwork Dimensions Classification Using BERT -- Data augmentation with GAN to improve the prediction of at-risk students in a virtual learning environment -- Prediction of Students' Self-Confidence Using Multimodal Features in an Experiential Nurse Training Environment -- Learning from Auxiliary Sources in Argumentative Revision Classification -- Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help -- Who and How: Using Sentence-level NLP to Evaluate Idea Completeness -- Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models -- Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment -- Enhancing the Automatic Identification of Common Math Misconceptions Using Natural Language Processing -- User Adaptive Language Learning Chatbots with a Curriculum -- Learning about circular motion of celestial bodies with interactive qualitative representations -- Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game -- GPTutor: a ChatGPT-powered programming tool for code explanation -- The Good and Bad of Stereotype Threats: Understanding Its Effects on Negative Thinking and Learning Performance in Gamified Tutoring Systems -- Practice of Tutoring Support System Based on Impasse Detection for Face-to-Face and On-demand Programming Exercises -- Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages -- Performance by Preferences - An Experiment in Language Learning to argue for Personalization -- Emotionally Adaptive Intelligent Tutoring System To Reduce Foreign Language Anxiety -- Amortised Design Optimization for Item Response Theory -- Early Prediction of Student Performance in Online Programming Courses -- Classifying Mathematics Teacher Questions to Support Equitable and Inclusive Mathematical Teaching -- Multimodal Task-Based Language Learning System with Personalization and Dynamic Adaptation -- Bayesian Analysis of Adolescent STEM Interest Using Minecraft -- Automatic Slide Generation Using Discourse Relations -- RoboboITS: a Simulation-Based Tutoring System to Support AI Education through Robotics -- Towards analyzing psychomotor group activity for collaborative teaching using neural networks -- Warming up the Cold Start: Adaptive Step Size Method for the Urnings Algorithm -- Gamiflow: A Flow Theory-Based Gamification Framework for Learning Scenarios -- Using large language models to develop readability formulas for educational settings -- A quantitative studyof NLP approaches to question difficulty estimation -- Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher -- AI Cognitive - Based Systems Supporting Learning Processes -- Modeling problem-solving strategy invention (PSSI) in an online math learning environment -- A SHAP-inspired method for computing interaction contribution in deep knowledge tracing -- Analyzing Users' Interaction with Writing Feedback and Their Effects on Writing Performance -- Annotating Educational Dialog Act with Data Augmentation in Online One-on-one Tutoring -- Improving Comprehension of Program Examples through Automatic Assessment and Scaffolding of Self-Explanations -- Using Transformer Language Models to Provide Formative Feedback in Intelligent Textbooks -- Utilizing Natural Language Processing for Automated Assessment of Classroom Discussion -- It's Good to Explore: Investigating Silver Pathways and the Role of Frustration during Game-based Learning -- Ghostin the machine: AVATAR, a prototype for supporting student authorial voice -- Evaluating Language Learning Apps for Behaviour Change Using the Behaviour Change Scale -- Evaluating the Rater Bias in Response Scoring in Digital Learning Platform: Analysis of Student Writing Styles -- Generative AI for learning: Investigating the potential of learning videos with synthetic virtual instructors -- Virtual Agent Approach for Teaching the Collaborative Problem Solving Skill of Negotiation -- How Useful are Educational Questions Generated by Large Language Models? -- Towards Extracting Adaptation Rules From Neural Networks -- A Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines -- Predicting Student Scores Using Browsing Data and Content Information of Learning Materials -- Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments -- Item difficulty constrained uniform adaptive testing -- "A Fresh Squeeze on Data": Exploring Gender Differences in Self-Efficacy and Career Interest in Computing Science and Artificial Intelligence among Elementary Students -- Simulating Learning From Language and Examples -- Learner Perception of Pedagogical Agents -- Using intelligent tutoring on the first steps of learning to program: affective and learning outcomes -- A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics -- Impact of Experiencing Misrecognition
by Teachable Agents on Learning and Rapport -- Nuanced Growth Patterns of Students with Disability -- Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers -- Classification of brain signals collected during a rule learning paradigm -- Q-GENius: A GPT based modified MCQ generator for identifying learner deficiency -- Towards Automatic Tutoring of Custom Student-Stated Math Word Problems -- A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques -- Automated Scoring of Logical Consistency of Japanese Essays -- Exercise Generation Supporting Adaptivity in Intelligent Tutoring Systems -- Context Matters: A Strategy to Pre-train Language Model for Science Education -- Identifying Usability Challenges in AI-based Essay Grading Tools -- Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.-Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring -- Automatic Assessment of Comprehension Strategies from Self-Explanations using Transformers and Multi-Task Learning -- Ensuring Fairness of Human- and AI-generated Test Items -- Deidentifying Student Writing with Rules and Transformers -- Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons -- Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings fo.
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Electronic Access:
https://doi.org/10.1007/978-3-031-36336-8Copies:
Available:*
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