000891752 000__ 05097cam\a2200529Mi\4500
000891752 001__ 891752
000891752 005__ 20230306150219.0
000891752 006__ m\\\\\o\\d\\\\\\\\
000891752 007__ cr\nn\nnnunnun
000891752 008__ 190529s2019\\\\sz\\\\\\o\\\\\100\0\eng\d
000891752 019__ $$a1105985462
000891752 020__ $$a9783030222444
000891752 020__ $$a3030222446
000891752 020__ $$z9783030222437
000891752 0247_ $$a10.1007/978-3-030-22244-4$$2doi
000891752 035__ $$aSP(OCoLC)on1107114593
000891752 035__ $$aSP(OCoLC)1107114593$$z(OCoLC)1105985462
000891752 040__ $$aUPM$$beng$$erda$$cUPM$$dOCLCO$$dGW5XE$$dOH1
000891752 049__ $$aISEA
000891752 050_4 $$aLB1028.73$$b.I58 2019
000891752 08204 $$a374.26$$223
000891752 1112_ $$aInternational Conference on Intelligent Tutoring Systems$$n(15th :$$d2019 :$$cKingston, Jamaica)
000891752 24500 $$aIntelligent tutoring systems :$$b15th International Conference, ITS 2019, Kingston, Jamaica, June 3-7, 2019, Proceedings /$$cedited by Andre Coy, Yugo Hayashi, Maiga Chang.
000891752 2463_ $$aITS 2019
000891752 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000891752 300__ $$a1 online resource (xv, 246 pages) :$$billustrations.
000891752 336__ $$atext$$btxt$$2rdacontent
000891752 337__ $$acomputer$$bc$$2rdamedia
000891752 338__ $$aonline resource$$bcr$$2rdacarrier
000891752 347__ $$atext file$$bPDF$$2rda
000891752 4901_ $$aLecture notes in computer science ;$$v11528
000891752 4901_ $$aLNCS sublibrary. SL 2, programming and software engineering
000891752 5050_ $$aA Learning Early-warning Model Based on Knowledge Points -- Adaptive Learning Spaces with Context-Awareness -- Agents' Cognitive vs. Socio-affective Support in Response to Learner's Confusion -- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving -- Analysis and Prediction of Student Emotions While Doing Programming Exercises -- Analyzing Best Hints for a Programming IST -- Analyzing the Group Formation Process in Intelligent Tutoring Systems -- Analyzing the usage of the classical ITS software architecture and refining it -- Assessing Students' Clinical Reasoning using Gaze and EEG Features -- Computer-Aided Intervention for Reading Comprehension Disabilities -- Conceptualization of IMS that Estimates Learners' Mental States from Learners' Physiological Information Using Deep Neural Network Algorithm -- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System -- Decision Support for an Adversarial Game Environment using Automatic Hint Generation -- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition -- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents -- Intelligent On-line Exam Management and Evaluation System -- Learning by Arguing in Argument-Based Machine Learning Framework -- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches -- On the discovery of educational patterns using biclustering -- Parent-Child Interaction in Children's Learning How to Use a New Application -- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving -- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior -- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week's Activities -- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence -- Providing the Option to Skip Feedback -- A Reproducibility Study -- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing -- Representing and Evaluating Strategies for Solving Parsons Puzzles -- Testing the Robustness of Inquiry Practices once Scaffolding is Removed -- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking -- Towards Predicting Attention And Workload During Math Problem Solving -- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS.
000891752 506__ $$aAccess limited to authorized users.
000891752 520__ $$aThis book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.
000891752 650_0 $$aIntelligent tutoring systems$$vCongresses.
000891752 650_0 $$aComputer-assisted instruction$$vCongresses.
000891752 7001_ $$aCoy, Andre,$$eeditor.
000891752 7001_ $$aHayashi, Yugo,$$eeditor.
000891752 7001_ $$aChang, Maiga,$$eeditor.
000891752 77608 $$iPrint version: $$z9783030222437
000891752 830_0 $$aLecture notes in computer science ;$$v11528.
000891752 830_0 $$aLNCS sublibrary.$$nSL 2,$$pProgramming and software engineering ;$$v11528.
000891752 852__ $$bebk
000891752 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-22244-4$$zOnline Access$$91397441.1
000891752 909CO $$ooai:library.usi.edu:891752$$pGLOBAL_SET
000891752 980__ $$aEBOOK
000891752 980__ $$aBIB
000891752 982__ $$aEbook
000891752 983__ $$aOnline
000891752 994__ $$a92$$bISE