Description |
1 online resource (xxvii, 436 pages) : illustrations (some color) |
Series |
Lecture notes in computer science ; 12164 |
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Lecture notes in artificial intelligence |
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LNCS sublibrary: SL 7, Artificial Intelligence |
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Lecture notes in computer science ; 12164.
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Lecture notes in computer science. Lecture notes in artificial intelligence.
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LNCS sublibrary. SL 7, Artificial intelligence.
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Contents |
Intro -- Preface -- Organization -- International Artificial Intelligence in Education Society -- Contents -- Part II -- Contents -- Part I -- Short Papers -- Modelling Learners in Crowdsourcing Educational Systems -- 1 Introduction -- 2 Approach -- 3 Evaluation -- 4 Discussion and Conclusion -- References -- Interactive Pedagogical Agents for Learning Sequence Diagrams -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Overview and Elements of the Pedagogy Agent -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- A Socratic Tutor for Source Code Comprehension -- 1 Introduction |
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2 Research Questions -- 3 Method -- 3.1 Materials -- 3.2 Procedure -- 3.3 Assessment -- 4 Results -- 4.1 Quantitative Analysis -- 5 Conclusion -- References -- Scientific Modeling Using Large Scale Knowledge -- 1 Introduction -- 2 VERA: A Research Assistant for Ecological Modeling -- 3 Contextualization of Domain Knowledge -- 3.1 Illustrative Example of Inquiry-Based Modeling Using VERA -- 4 Lab Experiment -- 4.1 Results -- 5 Conclusion -- References -- Examining Students' Intrinsic Cognitive Load During Program Comprehension -- An Eye Tracking Approach -- Abstract -- 1 Introduction |
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2 Current Study -- 3 Method -- 4 Results -- 5 Conclusions -- References -- Sequence-to-Sequence Models for Automated Text Simplification -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Corpora -- 2.2 Model Architectures -- 3 Results -- 4 Conclusions -- Acknowledgments -- References -- The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method -- Abstract -- 1 Introduction -- 2 Comprehension and Data Preparation -- 3 Experimental Results -- 4 Conclusion -- References -- Investigating Transformers for Automatic Short Answer Grading |
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1 Introduction -- 2 Experiments -- 3 Results and Analysis -- 4 Conclusion and Future Work -- References -- Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing -- 1 Introduction -- 2 Proposed Approach -- 3 Experiment -- 3.1 Dataset -- 3.2 Results and Discussion -- 4 Conclusion and Future Work -- References -- BERT and Prerequisite Based Ontology for Predicting Learner's Confusion in MOOCs Discussion Forums -- 1 Introduction -- 2 Proposed Approach -- 3 Experiment Settings -- 4 Results and Evaluation -- 5 Conclusion -- References |
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Identification of Students' Need Deficiency Through a Dialogue System -- 1 Introduction -- 2 Task-Oriented Dialogue System -- 3 Evaluation -- 4 Conclusion -- References -- The Double-Edged Sword of Automating Personalized Interventions in Makerspaces: An Exploratory Study of Potential Benefits and Drawbacks -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Overview -- 3.1 Course Overview -- 3.2 Research Questions -- 4 Methods -- 5 Results -- 5.1 RQ 1 -- Personalization Leads to Student Time Efficiency and Less Frustration in Learning |
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5.2 RQ 2 -- Personalization Leads to Unexpected Lowering of Community Spirit |
Summary |
This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 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 |
Notes |
International conference proceedings |
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"However, the unprecedented COVID-19 pandemic made international traveling and in-personmeetings impossible and AIED joined other conferences in becoming a virtual event." |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed July 24, 2020) |
Subject |
Artificial intelligence -- Educational applications -- Congresses
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Computer-assisted instruction -- Congresses
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Intelligent tutoring systems -- Congresses
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Intelligent tutoring systems
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Computer-assisted instruction
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Artificial intelligence -- Educational applications
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Application software
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Artificial intelligence
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Computers
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Computers, Special purpose
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Bittencourt, Ig Ibert, editor.
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Cukurova, Mutlu, editor.
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Muldner, Kasia, editor.
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Luckin, Rose, editor
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Millán, Eva, editor
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ISBN |
9783030522407 |
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3030522407 |
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