Artificial Intelligence in Education: 19th International Conference, Part II

Artificial Intelligence in Education: 19th International Conference, Part II Front Cover
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580 pages

Book Description

Artificial Intelligence in : 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part II (Lecture Notes in )

This two volume set LNAI 10947 and LNAI 10948 constitutes the proceedings of the 19th International Conference on Artificial Intelligence in Education, AIED 2018, held in London, UK, in June 2018.

The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 submissions. The conference provides opportunities  for the cross-fertilization of approaches, techniques and ideas from the  many fields that comprise AIED, including computer science, cognitive and learning sciences, education, design, psychology, sociology, linguistics as well as many domain-specific areas.

Table of Contents

Chapter 1. Ontology-Based Domain Diversity Profiling of User Comments
Chapter 2. ROBIN: Using a Programmable Robot to Provide Feedback and Encouragement on Programming Tasks
Chapter 3. Conversational Support for Education
Chapter 4. Providing Proactive Scaffolding During Tutorial Dialogue Using Guidance from Student Model Predictions
Chapter 5. Ella Me Ayudó (She Helped Me): Supporting Hispanic and English Language Learners in a Math ITS
Chapter 6. VERA: Popularizing Science Through AI
Chapter 7. Modelling Math Learning on an Open Access Intelligent Tutor
Chapter 8. Learner Behavioral Feature Refinement and Augmentation Using GANs
Chapter 9. Learning Content Recommender System for Instructors of Programming Courses
Chapter 10. Human-Agent Assessment: Interaction and Sub-skills Scoring for Collaborative Problem Solving
Chapter 11. Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor
Chapter 12. Modeling Math Success Using Cohesion Network Analysis
Chapter 13. Amplifying Teachers Intelligence in the Design of Gamified Intelligent Tutoring Systems
Chapter 14. Where Is the Nurse? Towards Automatically Visualising Meaningful Team Movement in Healthcare Education
Chapter 15. Exploring Gritty Students’ Behavior in an Intelligent Tutoring System
Chapter 16. Characterizing Students Based on Their Participation in the Class
Chapter 17. Adaptive Learning Goes to China
Chapter 18. Ontology Development for Competence Assessment in Virtual Communities of Practice
Chapter 19. How Gamification Impacts on Vocational Training Students
Chapter 20. Classifying Educational Questions Based on the Expected Characteristics of Answers
Chapter 21. On the Learning Curve Attrition Bias in Additive Factor Modeling
Chapter 22. The Impact of Affect-Aware Support on Learning Tasks that Differ in Their Cognitive Demands
Chapter 23. Mitigating Knowledge Decay from Instruction with Voluntary Use of an Adaptive Learning System
Chapter 24. Computational Thinking Through Game Creation in STEM Classrooms
Chapter 25. Behavioral Explanation versus Structural Explanation in Learning by Model-Building
Chapter 26. Temporal Changes in Affiliation and Emotion in MOOC Discussion Forum Discourse
Chapter 27. Investigating Influence of Demographic Factors on Study Recommenders
Chapter 28. A Design-Based Approach to a Classroom-Centered OELE
Chapter 29. On the Value of Answerers in Early Detection of Response Time to Questions for Peer Recommender Systems
Chapter 30. Intelligent Evaluation and Feedback in Support of a Credit-Bearing MOOC
Chapter 31. Boosting Engagement with Educational Software Using Near Wins
Chapter 32. “Mind” TS: a Brief Mindfulness Intervention with an Intelligent Tutoring System
Chapter 33. A Question Generation for Teachers
Chapter 34. Data-Driven Job Capability Profiling
Chapter 35. Assessing Free Student Answers in Tutorial Dialogues Using LSTM Models
Chapter 36. Towards Better Affect Detectors: Detecting Changes Rather Than States
Chapter 37. Identifying Implicit Links in CSCL Chats Using String Kernels and Neural Networks
Chapter 38. Fractions Lab Goes East: Learning and Interaction with an Exploratory Learning Environment in China
Chapter 39. iSTART-E: Reading Comprehension Strategy Training for Spanish Speakers
Chapter 40. The Wearable Learning Cloud Platform for the Creation of Embodied Multiplayer Math Games
Chapter 41. Autonomous Agent that Provides Automated Feedback Improves Negotiation Skills
Chapter 42. Efficient Navigation in Learning Materials: An Empirical Study on the Linking Process
Chapter 43. Syntax-Based Analysis of Programming Concepts in Python
Chapter 44. Teaching Without Learning: Is It OK With Weak AI?
Chapter 45. Sentiment Analysis of Student Evaluations of Teaching
Chapter 46. Visualizing Learning Analytics and Educational Data Mining Outputs
Chapter 47. A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere
Chapter 48. Automatic Generation of Multiple-Choice Fill-in-the-Blank Question Using Document Embedding
Chapter 49. Prediction of Interpersonal Help-Seeking Behavior from Log Files in an In-Service Education Distance Course
Chapter 50. Control of Variables Strategy Across Phases of Inquiry in Virtual Labs
Chapter 51. Female Robots as Role-Models? - The Influence of Robot Gender and Learning Materials on Learning Success
Chapter 52. Adolescents' Self-regulation During Job Interviews Through an AI Coaching Environment
Chapter 53. Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power
Chapter 54. Students’ Responses to a Humanlike Approach to Elicit Emotion in an Educational Virtual World
Chapter 55. Active Learning for Efficient Testing of Student Programs
Chapter 56. Improving Question Generation with the Teacher's Implicit Feedback
Chapter 57. Adaptive Learning Open Source Initiative for MOOC Experimentation
Chapter 58. Impact of Learner-Centered Affective Dynamics on Metacognitive Judgements and Performance in Advanced Learning Technologies
Chapter 59. Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content
Chapter 60. TipsC: Tips and Corrections for programming MOOCs
Chapter 61. Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction
Chapter 62. Understanding Revisions in Student Writing Through Revision Graphs
Chapter 63. Exploring Online Course Sociograms Using Cohesion Network Analysis
Chapter 64. Gamified Assessment of Collaborative Skills with Chatbots
Chapter 65. Deep Knowledge Tracing for Free-Form Student Code Progression
Chapter 66. Time Series Model for Predicting Dropout in Massive Open Online Courses
Chapter 67. Machine Learning and Fuzzy Logic Techniques for Personalized Tutoring of Foreign Languages
Chapter 68. Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score
Chapter 69. The Effect of Digital Versus Traditional Orchestration on Collaboration in Small Groups
Chapter 70. Modeling Student Learning Behaviors in ALEKS: A Two-Layer Hidden Markov Modeling Approach
Chapter 71. A Preliminary Evaluation of the Usability of an AI-Infused Orchestration System
Chapter 72. Microscope or Telescope: Whether to Dissect Epistemic Emotions
Chapter 73. Multimodal Interfaces for Inclusive Learning
Chapter 74. Supporting Learning Activities with Wearable Devices to Develop Life-Long Skills in a Health Education App
Chapter 75. Automatic Chinese Short Answer Grading with Deep Autoencoder
Chapter 76. Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment
Chapter 77. Industry Papers
Chapter 78. Adaptive Visual Dialog for Intelligent Tutoring Systems
Chapter 79. College Course Name Classification at Scale
Chapter 80. AUI Story Maker: Animation Generation from Natural Language
Chapter 81. Inferring Course Enrollment from Partial Data
Chapter 82. Validating Mastery Learning: Assessing the Impact of Adaptive Learning Objective Mastery in Knewton Alta
Chapter 83. The Rise of Immersive Cognitive Assessments: Towards Simulation-Based Assessment for Evaluating Applicants
Chapter 84. Towards Competence Development for Industry 4.0
Chapter 85. Smart Learning Partner: An Interactive Robot for Education
Chapter 86. Short-Term Efficacy and Usage Recommendations for a Large-Scale Implementation of the Math-Whizz Tutor
Chapter 87. Leveraging Non-cognitive Student Self-reports to Predict Learning Outcomes
Chapter 88. ITADS: A Real-World Intelligent Tutor to Train Troubleshooting Skills
Chapter 89. Simulated Dialogues with Virtual Agents: Effects of Agent Features in Conversation-Based Assessments
Chapter 90. Adaptive Learning Based on Affect Sensing
Chapter 91. Preliminary Evaluations of a Dialogue-Based Digital Tutor
Chapter 92. Young Researcher Papers
Chapter 93. Investigating Feedback Support to Enhance Collaboration Within Groups in Computer Supported Collaborative Learning
Chapter 94. Supporting Math Problem Solving Coaching for Young Students: A Case for Weak Learning Companion
Chapter 95. Improving Self-regulation by Regulating
Chapter 96. Metacognitive Experience Modeling Using Eye-Tracking
Chapter 97. Exploring the Meaning of Effective Exploratory Learner Behavior in Hands-on, Collaborative Projects Using Physical Kits
Chapter 98. Multimodal Tutor for CPR
Chapter 99. Leveraging Educational Technology to Improve the Quality of Civil Discourse
Chapter 100. Adapting Learning Activities Selection in an Intelligent Tutoring System to Affect
Chapter 101. Investigation of Temporal Dynamics in MOOC Learning Trajectories: A Geocultural Perspective
Chapter 102. Sequence Based Course Recommender for Personalized Curriculum Planning
Chapter 103. Towards Improving Introductory Computer Programming with an ITS for Conceptual Learning
Chapter 104. Workshops and Tutorials
Chapter 105. Flow Experience in Learning: When Gamification Meets Artificial Intelligence in Education
Chapter 106. 3rd International Workshop on Intelligent Mentoring Systems (IMS2018)
Chapter 107. Hands-on with GIFT: A Tutorial on the Generalized Intelligent Framework for Tutoring
Chapter 108. Ethics in AIED: Who Cares?
Chapter 109. Workshop for Artificial Intelligence to Promote Quality and Equity in Education
Chapter 110. 8th International Workshop on Personalization Approaches in Learning Environments PALE 2018
Chapter 111. Workshop on Authoring and Tutoring Methods for Diverse Task Domains: Psychomotor, Mobile, and Medical
Chapter 112. Assessment and Intervention During Team Tutoring Workshop
Chapter 113. Exploring Opportunities to Standardize Adaptive Instructional Systems (AISs)
Chapter 114. Workshop: Design and Application of Collaborative, Dynamic, Personalized Experimentation

Book Details

  • Title: Artificial Intelligence in Education: 19th International Conference, Part II
  • Length: 580 pages
  • Edition: 1st ed. 2018
  • Language: English
  • Publisher:
  • Publication Date: 2018-08-09
  • ISBN-10: 3319938452
  • ISBN-13: 9783319938455
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