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001437439 019__ $$a1262381259$$a1298461559
001437439 020__ $$a9783030782924$$q(electronic bk.)
001437439 020__ $$a3030782921$$q(electronic bk.)
001437439 020__ $$z9783030782917
001437439 0247_ $$a10.1007/978-3-030-78292-4$$2doi
001437439 035__ $$aSP(OCoLC)1256819376
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001437439 049__ $$aISEA
001437439 050_4 $$aLB1028.43$$b.I64 2021
001437439 08204 $$a371.33/463$$223
001437439 1112_ $$aInternational Conference on Artificial Intelligence in Education$$n(22nd :$$d2021 :$$cOnline)
001437439 24510 $$aArtificial intelligence in education :$$b22nd international conference, AIED 2021, Utrecht, the Netherlands, June 14-18, 2021 : proceedings.$$nPart I /$$cIdo Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova (eds.).
001437439 24630 $$aAIED 2021
001437439 264_1 $$aCham :$$bSpringer,$$c[2021]
001437439 264_4 $$c©2021
001437439 300__ $$a1 online resource (xxviii, 518 pages) :$$billustrations (chiefly color)
001437439 336__ $$atext$$btxt$$2rdacontent
001437439 337__ $$acomputer$$bc$$2rdamedia
001437439 338__ $$aonline resource$$bcr$$2rdacarrier
001437439 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v12748
001437439 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001437439 500__ $$aInternational conference proceedings.
001437439 500__ $$aIncludes author index.
001437439 5050_ $$aFull Papers -- RepairNet: Contextual Sequence-to-Sequence network for automated program repair -- Seven-year longitudinal implications of wheel spinning and productive persistence -- A Systematic Review of Data-driven Approaches to Item Difficulty Prediction -- Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity -- Affect-Targeted Interviews for Understanding Student Frustration -- Explainable Recommendations in a Personalized Programming Practice System -- Mutilingual Age of Exposure -- DiSCS: A New Sequence Segmentation Method for Open-Ended Learning Environments -- Interpretable Clustering of Students' Solutions in Introductory Programming -- Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks -- Ordering Effects in a Role-Based Scaffolding Intervention for Asynchronous Online Discussions -- Option Tracing: Beyond Correctness Analysis in Knowledge Tracing -- An approach for detecting student perceptions of the programming experience from interaction log data -- Discovering Co-creative Dialogue States during Collaborative Learning -- Affective Teacher Tools: Affective Class Report Card and Dashboard -- Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning -- Investigating students' reasoning in a code-tracing tutor -- Evaluating Critical Reinforcement Learning Framework In the Field -- Machine learning models and their development process as learning affordances for humans -- Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor -- A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing -- The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue -- Extracting and Clustering Main Ideas from Student Feedback using Language Models -- Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework -- A Good Start is Half the Battle Won: Unsupervised Pre-Training for Low Resource Children's Speech Recognition for an Interactive Reading Companion -- Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption -- Deep Performance Factors Analysis for Knowledge Tracing -- Gaming and confrustion explain learning advantages for a math digital learning game -- Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks -- TARTA: Teacher Activity Recognizer from Transcriptions and Audio -- Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts -- "Can you clarify what you said?": Studying the impact of tutee agents' follow-up questions on tutors' learning -- Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT -- A Multidimensional Item Response Theory Model for Rubric-based Writing Assessment -- Towards Bloom's Taxonomy Classification Without Labels -- Automatic Task Requirements Writing Evaluation With Feedback via Machine Reading Comprehension -- Temporal Processes Associating with Procrastination Dynamics -- Investigating Students' Experiences with Collaboration Analytics for Remote Group Meetings -- "Now, I Want to Teach it for Real!": Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers, . Better Model, Worse Predictions: The Dangers in Student Model Comparisons.
001437439 506__ $$aAccess limited to authorized users.
001437439 520__ $$aThis two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop papers were carefully reviewed and selected from 209 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic.
001437439 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 17, 2021).
001437439 650_0 $$aArtificial intelligence$$xEducational applications$$vCongresses.
001437439 650_0 $$aComputer-assisted instruction$$vCongresses.
001437439 650_0 $$aIntelligent tutoring systems$$vCongresses.
001437439 650_6 $$aIntelligence artificielle$$xApplications en éducation$$vCongrès.
001437439 650_6 $$aEnseignement assisté par ordinateur$$vCongrès.
001437439 650_6 $$aTutoriels$$vCongrès.
001437439 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001437439 655_7 $$aConference papers and proceedings.$$2lcgft
001437439 655_7 $$aActes de congrès.$$2rvmgf
001437439 655_0 $$aElectronic books.
001437439 7001_ $$aRoll, Ido,$$eeditor.
001437439 7001_ $$aMcNamara, Danielle S.,$$eeditor.
001437439 7001_ $$aSosnovsky, Sergey,$$eeditor.
001437439 7001_ $$aLuckin, Rose,$$eeditor.
001437439 7001_ $$aDimitrova, Vania,$$d1965-$$eeditor.
001437439 77608 $$z3030782913
001437439 830_0 $$aLecture notes in computer science ;$$v12748.
001437439 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001437439 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001437439 852__ $$bebk
001437439 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-78292-4$$zOnline Access$$91397441.1
001437439 909CO $$ooai:library.usi.edu:1437439$$pGLOBAL_SET
001437439 980__ $$aBIB
001437439 980__ $$aEBOOK
001437439 982__ $$aEbook
001437439 983__ $$aOnline
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