Intelligent Tutoring Systems: 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12149
Editat de Vivekanandan Kumar, Christos Troussasen Limba Engleză Paperback – 3 iun 2020
The 23 full papers and 31 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They reflect a variety of new techniques, including multimodal affective computing, explainable AI, mixed-compensation multidimensional item response, ensemble deep learning, cohesion network analysis, spiral of silence, conversational agent, semantic web, computer-supported collaborative learning, and social network analysis.
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Specificații
ISBN-13: 9783030496623
ISBN-10: 3030496627
Pagini: 443
Ilustrații: XIX, 443 p. 137 illus., 109 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.65 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030496627
Pagini: 443
Ilustrații: XIX, 443 p. 137 illus., 109 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.65 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
Cuprins
Multi-Sensual Augmented Reality in Interactive Accessible Math Tutoring System for Flipped Classroom.- Adaptive Learning to Support Reading Skills Development for All: A Single-Case Experimental Design to Monitor, Describe, and Assess the Impact of Adaptive Learning on Language Development of a Diversity of K-12 Pupils.- General ITS software architecture and framework.- Let the end user in peace: usability and user experience aspects related to the design of tutoring systems.- Developing a Multimodal Affect Assessment for Aviation Training.- Scaling Mentoring Support with Distributed Artificial Intelligence.- Exploring Navigation Styles in a FutureLearn MOOC.- Changes of Affective States in Intelligent Tutoring System to Improve Feedbacks Through Low-Cost and Open Electroencephalogram and Facial Expression.- Computer-Aided Grouping of Students with Reading Disabilities for Effective Response-to-Intervention.- SHAPed Automated Essay Scoring: Explaining Writing Features’ Contributionsto English Writing Organization.- Probabilistic Approaches to Detect Blocking States in Intelligent Tutoring System.- Avoiding Bias in Students' Intrinsic Motivation Detection.- Innovative Robot for Educational Robotics and STEM.- Supporting Students by Integrating an Open Learner Model in a Peer Assessment Platform.- Explaining Traffic Situations – Architecture of a Virtual Driving Instructor.- MOOCOLAB - A Customized Collaboration Framework In MOOCs (Massive Open Online Courses).- Mixed Compensation Multidimensional Item Response Theory.- Data-Driven Analysis of Engagement in Gamified Learning Environments: a Methodology for Real-Time Measurement of MOOCs.- Intelligent Predictive Analytics for Identifying Students at Risk of Failure in Moodle Courses.- Prediction of Users’ Professional Profile in MOOCs Only by Utilising Learners’ Written Texts.- Cohesion Network Analysis: Predicting Course Grades and Generating Sociograms for a Romanian Moodle Course.- A Study on the Factors Influencing the Participation of Face-to-Face Discussion and Online Synchronous Discussion in Class.- Applying Genetic Algorithms for Recommending Adequate Competitors in Mobile Game-Based Learning Environments.- Dynamic Detection of Learning Modalities Using Fuzzy Logic in Students’ Interaction Activities.- Adaptive Music Therapy for Alzheimer’s Disease Using Virtual Reality.- Improving Cognitive and Emotional State Using 3D Virtual Reality Orientation Game.- A Multidimensional Learners’ Model to Identify Urgent Instructor Intervention Need in MOOC Forum Posts.- Should we consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems.- An Interactive Recommender System Based on Reinforcement Learning for Improving Emotional Competences in Educational Groups.- Can we Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge.- AFFLOG: A Logic Based Affective Tutoring System.- Towards a Framework for Learning Systems in Smart Universities.- Interweaving Activities, Feedback and Learner Model in a Learner Centered Learning Environment.- Enriching Synchronous Collaboration in Online Courses with Configurable Conversational Agents.- Where the Competency-Based Assessment Meets the Semantic Learning Analytics.- Towards CSCL Scripting By Example.- The Educators’ Perspective on Developing a Reflective Writing Framework (RWF) for Assessing Reflective Writing in Computer Science Education.- Validating the Reflective Writing Framework (RWF) for Assessing Reflective Writing in Computer Science Education.- Recommender System for Quality Educational Resources.- Intelligent Tutoring Systems for Psychomotor Training – A Systematic Literature Review.- Employing Social Network Analysis to enhance community learning.- Is MOOC Learning Different from Dropout Learners? A Visually-Driven, Multi-Granularity Approach.- Self-Construction and Interactive Simulations to Support the Learning of Drawing Graphs and Reasoning in Mathematics.- WebApriori: A Web Application for Association Rules Mining.- Dialogue Act Pairs for Automated Analysis of Typed-Chat Group Problem-Solving.- Long Term Retention of Programming Concepts Learned Using Software Tutors.- Towards a Template-Driven Approach to Documenting Teaching Practices.- A Knowledge Sharing System Architecture for Higher Education Institutions.- Reducing Cognitive Load for Anatomy Students with a Multimodal ITS Platform.- Learning Analytics in Big Data Era. Exploration, Validation and Predictive Models Development.- Learning Analytics Dashboard for Motivation and Performance.- Educational Driving through Intelligent Traffic Simulation.- Quality Assurance in Higher Education: The role of students.- Evolutionary Learner Profile Optimization using Rare and Negative Association Rules for Micro Open Learning.