Intelligent Tutoring Systems [electronic resource] : 12th International Conference, ITS 2014, Honolulu, HI, USA, June 5-9, 2014. Proceedings / edited by Stefan Trausan-Matu, Kristy Elizabeth Boyer, Martha Crosby, Kitty Panourgia.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 8474Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XXX, 702 p. 155 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319072210Subject(s): Computer science | Multimedia systems | Artificial intelligence | Text processing (Computer science | Social sciences -- Data processing | Education | Computer Science | Computers and Education | User Interfaces and Human Computer Interaction | Multimedia Information Systems | Computer Appl. in Social and Behavioral Sciences | Document Preparation and Text Processing | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 374.26 LOC classification: LB1028.43-1028.75Online resources: Click here to access online
Affect -- Multimodality and metacognition -- Collaborative learning -- Data mining and student behavior -- Dialogue and discourse -- Generating hints, scaffolds and questions -- Game-based learning and simulation -- Graphical representations and learning -- Student strategies and problem solving -- Scaling ITS and assessment.
This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Tutoring Systems, ITS 2014, held in Honolulu, HI, USA, in June 2014. The 31 revised full papers, 45 short papers, and 27 posters presented were carefully viewed and selected from 177 submissions. The specific theme of the ITS 2014 conference is "Creating fertile soil for learning interactions". Besides that, the highly interdisciplinary ITS conferences bring together researchers in computer science, learning sciences, cognitive and educational psychology, sociology, cognitive science, artificial intelligence, machine learning, and linguistics. The papers are organized in topical sections on affect; multimodality and metacognition; collaborative learning; data mining and student behavior; dialogue and discourse; generating hints, scaffolds and questions; game-based learning and simulation; graphical representations and learning; student strategies and problem solving; scaling ITS and assessment.