| Description |
1 online resource (XXVII, 439 pages 135 illustrations, 54 illustrations in color.) : online resource |
| Series |
Lecture Notes in Artificial Intelligence ; 11626 |
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Lecture notes in computer science. Lecture notes in artificial intelligence ; 11626.
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| Contents |
Intro; Preface; Organization; Contents -- Part II; Contents -- Part I; Short Papers (Posters); Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration; 1 Introduction and Related Work; 2 Study Design and Procedure; 2.1 Data Model; 2.2 Validating WC/GCMS Model and Visualization Output; 3 Conclusions; References; Identifying Editor Roles in Argumentative Writing from Student Revision Histories; 1 Introduction; 2 Corpora; 3 Identifying Editor Roles; 4 Validating Editor Roles; 5 Conclusion and Future Work; References |
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Degree Curriculum Contraction: A Vector Space Approach1 Introduction; 2 Data; 3 Approach; 3.1 Vector Space Embedding; 3.2 Contraction; 4 Evaluation and Discussion; References; L2 Learners' Preferences of Dialogue Agents: A Key to Achieve Adaptive Motivational Support?; Abstract; 1 Introduction; 2 Experimental Study; 2.1 Research Questions and Study Design; 2.2 Results; 2.3 Discussion and Limitations; 3 Conclusion and Future Works; References; Eye Gaze Sequence Analysis to Model Memory in E-education; 1 Introduction; 2 Related Work; 2.1 A Brief History of the Memory Models |
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2.2 Linking Cognitive Processes and Eye Movements3 User Study; 4 Analysis; 5 Conclusion; References; What Inquiry with Virtual Labs Can Learn from Productive Failure: A Theory-Driven Study of Students' Reflections; Abstract; 1 Introduction; 2 Mapping PS-I to Inquiry; 3 Methods; 4 Results; 5 Conclusion; References; The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning; Abstract; 1 Introduction; 2 Methods; 2.1 Participants, Materials, and Experimental Procedure; 2.2 Coding and Scoring; 3 Results |
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3.1 RQ1: Are There Differences Between AGO Groups on Proportional Learning Gain (PLG) After Problem Solving with CI?3.2 RQ2: Are There Differences Between AGO Groups on the Frequency of Metacognitive Process Use While Problem Solving with CI?; 3.3 RQ3: Are There Differences Between AGO Groups on the Proportion of Time Engaging in Metacognitive Processes While Problem Solving with CI?; 3.4 RQ4: Do AGO Scores Predict Frequency and Proportion of Time Engaging in Metacognitive Processes While Problem Solving with CI?; 4 Discussion; Acknowledgements; References |
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Autoencoders for Educational Assessment1 Introduction; 2 Background; 2.1 Educational Assessment Models; 2.2 AE and VAE; 3 Integrated ANN and IRT Models; 4 Results and Discussion; References; The Value of Multimodal Data in Classification of Social and Emotional Aspects of Tutoring; 1 Introduction; 2 Methodology; 2.1 The Context of the Study; 2.2 Data Collection Methods; 3 Results; 3.1 Classifications of Tutor Candidates from Various Data Inputs; 4 Conclusions; References |
| Summary |
This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education |
| Subject |
Artificial intelligence.
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Education.
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Social sciences -- Data processing.
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Data mining.
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Computer science.
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Software engineering.
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Electronic data processing.
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artificial intelligence.
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computer science.
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data processing.
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Software engineering
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Social sciences -- Data processing
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Education
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Data mining
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Computer science
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Artificial intelligence
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Electronic data processing
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| Form |
Electronic book
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| Author |
Isotani, Seiji., editor
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Millán, Eva., editor
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Ogan, Amy., editor
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Hastings, Peter, editor
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McLaren, Bruce, editor
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Luckin, Rose., editor
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| ISBN |
9783030232078 |
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3030232077 |
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9783030232085 |
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3030232085 |
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