Artificial Intelligence in Education (Record no. 177599)

MARC details
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001 - CONTROL NUMBER
control field 978-3-030-78292-4
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125415.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030782924
-- 978-3-030-78292-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-78292-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Artificial Intelligence in Education
Medium [electronic resource] :
Remainder of title 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021, Proceedings, Part I /
Statement of responsibility, etc edited by Ido Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XXVIII, 518 p. 131 illus., 103 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 12748
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Full 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.
520 ## - SUMMARY, ETC.
Summary, etc This 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Education
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Application in Social and Behavioral Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers and Education.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Software Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Theory of Computation.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roll, Ido.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name McNamara, Danielle.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sosnovsky, Sergey.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Luckin, Rose.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dimitrova, Vania.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030782917
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030782931
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 12748
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-78292-4">https://doi.org/10.1007/978-3-030-78292-4</a>
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Koha item type eBooks-CSE-Springer

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