LEADER 06267nam 22007575 450 001 9910337859303321 005 20200703084801.0 010 $a3-030-22244-6 024 7 $a10.1007/978-3-030-22244-4 035 $a(CKB)4100000008347211 035 $a(DE-He213)978-3-030-22244-4 035 $a(MiAaPQ)EBC5918224 035 $a(PPN)236522302 035 $a(EXLCZ)994100000008347211 100 $a20190529d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Tutoring Systems $e15th International Conference, ITS 2019, Kingston, Jamaica, June 3?7, 2019, Proceedings /$fedited by Andre Coy, Yugo Hayashi, Maiga Chang 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XV, 246 p. 80 illus., 42 illus. in color.) 225 1 $aProgramming and Software Engineering ;$v11528 300 $aIncludes Index. 311 $a3-030-22243-8 327 $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. 330 $aThis book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning. 410 0$aProgramming and Software Engineering ;$v11528 606 $aEducation?Data processing 606 $aApplication software 606 $aData mining 606 $aUser interfaces (Computer systems) 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputers and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/I24032 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aEducation?Data processing. 615 0$aApplication software. 615 0$aData mining. 615 0$aUser interfaces (Computer systems). 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aComputers and Education. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 676 $a374.26 676 $a371.334 702 $aCoy$b Andre$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHayashi$b Yugo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChang$b Maiga$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337859303321 996 $aIntelligent Tutoring Systems$9772043 997 $aUNINA