http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
14th International Conference, ITS 2018, Montreal, QC, Canada, June 11-15, 2018, Proceedings
XXVIII, 523 p. 118 illus. online resource.
This book constitutes the proceedings of the 14th International Conference on Intelligent Tutoring Systems, IST 2018, held in Montreal, Canada, in June 2018. The 26 full papers and 22 short papers presented in this volume were carefully reviewed and selected from 120 submissions. In the back matter of the volume 20 poster papers and 6 doctoral consortium papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning.
Programming Intelligent Embodied Pedagogical Agents to Teach the Beginnings of Industrial Revolution -- Adaptive clustering of codes for assessment in introductory programming courses -- Recommendation in Collaborative E-Learning by Using Linked Open Data and Ant Colony Optimization -- Evaluating adaptive pedagogical agents' prompting strategies effect on students' emotions -- Do Frequency and Duration of Confusion, Frustration, Anger and Joy Predict Learning in a Game-Based Learning Environment -- Investigating the Role of Goal Orientation: Metacognitive and Cognitive Strategy Use and Learning with Intelligent Tutoring Systems -- Game Scenes Evaluation and Player's Dominant Emotion Prediction -- Disrupting the Rote Learning Loop: CS Majors Iterating over Learning Modules with an Adaptive Educational Hypermedia -- Gaze Feedback and Pedagogical Suggestions in Collaborative Learning: Investigation of Explanation Performance on Self's Concept in a Knowledge Integration Task -- Motivation Assessment Tool (MAT): Enabling Personalized Learning to Enhance Motivation -- The Impact of Multiple Real-time Scaffolding Experiences on Science Inquiry Practices -- The allocation of time matters to students' performance in clinical reasoning -- Empirical investigation of cognitive load theory in problem solving domain -- Data-driven learner profiling based on clustering student behaviors: learning consistency, pace and effort -- Identifying How Metacognitive Judgments Influence Student Performance during Learning with MetaTutorIVH -- Predicting Learners' Emotions in Mobile MOOC Learning via a Multimodal Intelligent Tutor -- Toward Tutoring Systems Inspired by Applied Behavioral Analysis -- The Role of Negative Emotions and Emotion Regulation on Self-Regulated Learning with MetaTutor -- Analysis of permanence time in emotional states: A case study using educational software -- Scoring Summaries using Recurrent Neural Networks -- Changes in Emotion and their Relationship with Learning Gains in the Context of MetaTutor -- A Heuristic Approach for New-item Cold Start Problem in Recommendation of Micro Open Education Resources -- How do Different Levels of AU4 impact Metacognitive Monitoring during Learning with Intelligent Tutoring Systems -- How are students' emotions associated with the accuracy of their note taking and summarizing during learning with ITSs -- Adaptive Feedback based on Student Emotion in a System for Programming Practice -- Learning by Explaining to a Digital Doppelganger -- Impact of Tutor Errors on Student Engagement in a Dialog Based Intelligent Tutoring System -- Enhancing the Clustering of Student Performance using the Variation in Confidence -- Intelligent Virtual Reality Tutoring System Supporting Open Educational Resource Access -- Emotional State and Behavior Analysis in a Virtual Reality Environment: a Medical Application -- Deep Learning in Automated Essay Scoring -- A Hybrid Architecture for Non-Technical Skills Diagnosis -- A Novel Learning Early-warning Model Based on Random Forest Algorithm -- Improving Inference of Learning Related Emotion by Combining Cognitive and Physical Information -- Module Advisor: Guiding Students with Recommendations -- TUMA: Towards an Intelligent Tutoring System for Manual-Procedural Activities -- SAT reading analysis using eye-gaze tracking technology and machine learning -- Determining What The Student Understands - Assessment In An Unscaffolded Environment -- Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms -- Towards Embedding a Tutoring Companion in the Eclipse Integrated Development Environment -- Semantic Collaboration Trajectories in Communities of Practice -- Predictors and outcomes of gaming in an intelligent tutoring system -- Classifying Interaction Behaviors of Students and Conversational Agents through Dialog Analysis -- Extraction of Relevant Resources and Questions from DBpedia to Automatically Generate Quizzes on Specific Domains -- Towards an intelligent Moodle based on learning analytics: Development and evaluation -- A Planning-Based Approach to Generating Tutorial Dialog for Teaching Surgical Decision Making -- Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform -- Exploring students' behaviors in editing learning environment.
edited by Roger Nkambou, Roger Azevedo, Julita Vassileva.
Computer Appl. in Social and Behavioral Sciences
User Interfaces and Human Computer Interaction
Programming and Software Engineering ; 10858