001438071 000__ 08472cam\a2200649\a\4500 001438071 001__ 1438071 001438071 003__ OCoLC 001438071 005__ 20230309004246.0 001438071 006__ m\\\\\o\\d\\\\\\\\ 001438071 007__ cr\un\nnnunnun 001438071 008__ 210714s2021\\\\sz\\\\\\o\\\\\101\0\eng\d 001438071 019__ $$a1266810024 001438071 020__ $$a9783030804213$$q(electronic bk.) 001438071 020__ $$a3030804216$$q(electronic bk.) 001438071 020__ $$z3030804208 001438071 020__ $$z9783030804206 001438071 0247_ $$a10.1007/978-3-030-80421-3$$2doi 001438071 035__ $$aSP(OCoLC)1260191198 001438071 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dDCT$$dCOM$$dOCLCQ$$dOCLCO$$dN$T$$dOCLCQ 001438071 049__ $$aISEA 001438071 050_4 $$aLB1028.73$$b.I58 2021eb 001438071 08204 $$a374.26$$223 001438071 1112_ $$aInternational Conference on Intelligent Tutoring Systems$$n(17th :$$d2021 :$$cOnline) 001438071 24510 $$aIntelligent tutoring systems :$$b17th International Conference, ITS 2021, Virtual event, June 7-11, 2021, Proceedings /$$cAlexandra I. Cristea, Christos Troussas (eds.). 001438071 2463_ $$aITS 2021 001438071 260__ $$aCham, Switzerland :$$bSpringer,$$c2021. 001438071 300__ $$a1 online resource 001438071 336__ $$atext$$btxt$$2rdacontent 001438071 337__ $$acomputer$$bc$$2rdamedia 001438071 338__ $$aonline resource$$bcr$$2rdacarrier 001438071 347__ $$atext file 001438071 347__ $$bPDF 001438071 4901_ $$aLecture notes in computer science ;$$v12677 001438071 4901_ $$aLNCS sublibrary, SL 2, Programming and software engineering 001438071 500__ $$aIncludes author index. 001438071 5050_ $$aTheory and Reviews Difficulties and disparities to distance learning during Covid-19 period for deaf students - A proposed method to eradicate inequalities -- Wide-scale Automatic Analysis of 20 Years of ITS Research -- A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs -- Models DiKT: Dichotomous Knowledge Tracing -- CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level -- Learning Logical Reasoning Using an Intelligent Tutoring System: Improving the Student Model with a data driven approach -- Checking Method for Fake News to Avoid the Twitter Effect -- Comparing Bayesian Knowledge Tracing Model Against Naïve Mastery Model -- Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums -- Concept Maps Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint -- Integrating Knowledge in Collaborative Concept Mapping: Cases in an Online Class Setting -- An evaluation of a meaningful discovery learning support system for supporting E-book user in pair learning -- Semantic Comparison of Concept Maps for Structuring Learning Activities -- Student Prediction Next week dropout prediction in MOOCs: weekly assessment of time and learning patterns -- Internet of Things (IoT) Based Support System for Diabetic Learners in Saudi Arabian High Schools -- Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification -- Analysis of Learners' Comments: an Automated Intervention Priority Model for MOOC -- Early Predictor for Student Success Based on Behavioural and Demographical Indicators -- Predicting Certification in MOOCs based on Students' Weekly Activities -- Learner Behaviour Recognizing Novice Learners' Modeling Behaviors -- Novice, and Intermediate Performance: Exploring the Relationship Between Clinical Reasoning Behaviors and Diagnostic Performance -- Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students -- Investigating Clues for Estimating ICAP States based on Learners' Behavioural Data during Collaborative Learning -- Behaviour Analytics - A Moodle Plug-in to Visualize Students' Learning Patterns -- Toward an ITS to enhance novice clinician situational awareness based on expert perception behaviors in clinical reasoning -- Feedback and Personalisation Flexible Program Alignment to Deliver Data-Driven Feedback to Novice Programmers -- Interaction of human cognitive mechanisms and computational intelligence in systems that support teaching mathematics -- Learning Path Construction Using Reinforcement Learning and Bloom's Taxonomy -- Customizing Feedback using Semantic Clusters -- Voice Privacy with Smart Digital Assistants in Educational Settings -- An Intelligent Tutoring System for Psychomotor Development -- Assessment Automated Assessment of Learning Objectives in Programming Assignments -- Ex-Ante and Ex-Post Feature Evaluation of Online Courses Using the Kano Model -- Automated Summary Scoring with ReaderBench -- Automated Paraphrase Quality Assessment using Recurrent Neural Networks and Language Models -- Groups, Teams, Social, Crowd and Communities XGBoost & Deep Neural Network comparison: The case of teams's performance -- Using Graph Embedding to Monitor Communities of Learners -- The Influence of Five Personality Traits on the Interactive Model of Online Group Formation -- New Horizons on Online Tutoring System Inspired by Teaching Strategies and Learning Styles -- A Comparative Evaluation of the Effect of Social Comparison, Competition, and Social Learning in Persuasive Technology on Learning -- Sovereignty by personalization of information search: collective wisdom influences my knowledge -- Games and Gamification Confusion detection within a 3D adventure game -- Representation of generalized human cognitive abilities in a sophisticated student leaderboard -- Learning and Gamification Dashboards: a Mixed-Method Study with Teachers -- Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design -- Automatic Adaptive Sequencing in a Webgame -- Towards Smart Edutainment Applications for Young Children. A Proposal -- Do Students Use Semantics When Solving Parsons Puzzles? - A Log-Based Investigation -- Emotions and Affect Tutorial Intervention's Affective Model Based on Learner's Error Identification in Intelligent Tutoring Systems -- A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning -- Evaluation test generator using a list of keywords -- Voice Emotion Recognition in Real Time Applications -- Affect-aware Conversational Agent for Intelligent Tutoring of Students in Nursing Subjects -- Extended Reality ARDNA: a Mobile App based on Augmented Reality for supporting knowledge exploration in learning scenarios -- Extraction of 3D Pose in Video for Building Virtual Learning Avatars -- A Non-immersive Virtual Reality Application for Children with Autism Spectrum Disorder -- Using Augmented Reality in Computing Higher Education. 001438071 506__ $$aAccess limited to authorized users. 001438071 520__ $$aThis volume constitutes the proceedings of the 17th International Conference on Intelligent Tutoring Systems, ITS 2021, held in Athens, Greece, in June 2021. Due to COVID-19 pandemic the conference was held virtually. The 22 full papers, 22 short papers and 18 other papers presented in this volume were carefully reviewed and selected from 87 submissions. Conforming to the current move of education, work and leisure online, the title of ITS 2021 was Intelligent Tutoring Systems in an online world. Its objective was to present academic and research achievements of computer and cognitive sciences, artificial intelligence, and, due to its recent emergence, specifically, deep learning in tutoring and education. 001438071 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 21, 2021). 001438071 650_0 $$aIntelligent tutoring systems$$vCongresses. 001438071 650_0 $$aComputer-assisted instruction$$vCongresses. 001438071 650_6 $$aTutoriels$$vCongrès. 001438071 650_6 $$aEnseignement assisté par ordinateur$$vCongrès. 001438071 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001438071 655_7 $$aConference papers and proceedings.$$2lcgft 001438071 655_7 $$aActes de congrès.$$2rvmgf 001438071 655_0 $$aElectronic books. 001438071 7001_ $$aCristea, Alexandra I.,$$eeditor$$0(orcid)0000-0002-1454-8822$$1https://orcid.org/0000-0002-1454-8822 001438071 7001_ $$aTroussas, Christos.,$$eeditor$$1https://orcid.org/0000-0002-9604-2015 001438071 830_0 $$aLecture notes in computer science ;$$v12677. 001438071 830_0 $$aLNCS sublibrary.$$nSL 2,$$pProgramming and software engineering. 001438071 852__ $$bebk 001438071 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-80421-3$$zOnline Access$$91397441.1 001438071 909CO $$ooai:library.usi.edu:1438071$$pGLOBAL_SET 001438071 980__ $$aBIB 001438071 980__ $$aEBOOK 001438071 982__ $$aEbook 001438071 983__ $$aOnline 001438071 994__ $$a92$$bISE