The Multimodal Learning Analytics Handbook (Record no. 185314)

MARC details
000 -LEADER
fixed length control field 05985nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-031-08076-0
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130126.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221008s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031080760
-- 978-3-031-08076-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-08076-0
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number LB1028.43-1028.75
072 #7 - SUBJECT CATEGORY CODE
Subject category code JNV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code EDU039000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code JNV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 371.334
Edition number 23
245 14 - TITLE STATEMENT
Title The Multimodal Learning Analytics Handbook
Medium [electronic resource] /
Statement of responsibility, etc edited by Michail Giannakos, Daniel Spikol, Daniele Di Mitri, Kshitij Sharma, Xavier Ochoa, Rawad Hammad.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
300 ## - PHYSICAL DESCRIPTION
Extent VI, 372 p. 73 illus., 61 illus. in color.
Other physical details online resource.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Multimodal Learning Analytics -- Multimodal Learning Analytics and the Design of Learning Spaces -- Multimodal Systems for Automated Oral Presentation Feedback: A Comparative Analysis -- Modeling the Complex Interplay Between Monitoring Events for Regulated Learning with Psychological Networks -- The role of metacognition and self-regulation on clinical reasoning: Leveraging multimodal learning analytics to transform medical education -- Intermodality in Multimodal Learning Analytics for Cognitive Theory Development: A Case from Embodied Design for Mathematics Learning -- Bridging the Gap between Informal Learning Pedagogy and Multimodal Learning Analytics -- Multimodal Learning Experience for Deliberate Practice -- CDM4MMLA: Contextualized Data Model for MultiModal Learning Analytics -- A Physiology-Aware Learning Analytics Framework -- Once more with Feeling - Emotions in Multimodal Learning Analytics -- The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review -- Sensor-based analytics in education: Lessons learned from research in Multimodal Learning Analytics -- Framing the future of Multimodal Learning Analytics.
520 ## - SUMMARY, ETC.
Summary, etc This handbook is the first book ever covering the area of Multimodal Learning Analytics (MMLA). The field of MMLA is an emerging domain of Learning Analytics and plays an important role in expanding the Learning Analytics goal of understanding and improving learning in all the different environments where it occurs. The challenge for research and practice in this field is how to develop theories about the analysis of human behaviors during diverse learning processes and to create useful tools that could augment the capabilities of learners and instructors in a way that is ethical and sustainable. Behind this area, the CrossMMLA research community exchanges ideas on how we can analyze evidence from multimodal and multisystem data and how we can extract meaning from this increasingly fluid and complex data coming from different kinds of transformative learning situations and how to best feed back the results of these analyses to achieve positive transformative actions on those learning processes. This handbook also describes how MMLA uses the advances in machine learning and affordable sensor technologies to act as a virtual observer/analyst of learning activities. The book describes how this “virtual nature” allows MMLA to provide new insights into learning processes that happen across multiple contexts between stakeholders, devices and resources. Using such technologies in combination with machine learning, Learning Analytics researchers can now perform text, speech, handwriting, sketches, gesture, affective, or eye-gaze analysis, improve the accuracy of their predictions and learned models and provide automated feedback to enable learner self-reflection. However, with this increased complexity in data, new challenges also arise. Conducting the data gathering, pre-processing, analysis, annotation and sense-making, in a way that is meaningful for learning scientists and other stakeholders (e.g., students or teachers), still pose challenges in this emergent field. This handbook aims to serve as a unique resource for state of the art methods and processes. Chapter 11 of this book is available open access under a CC BY 4.0 license at link.springer.com.
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 Educational technology.
650 14 - 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 Digital Education and Educational Technology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Giannakos, Michail.
Relator term editor.
-- (orcid)0000-0002-8016-6208
-- https://orcid.org/0000-0002-8016-6208
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Spikol, Daniel.
Relator term editor.
-- (orcid)0000-0001-9454-0793
-- https://orcid.org/0000-0001-9454-0793
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Di Mitri, Daniele.
Relator term editor.
-- (orcid)0000-0002-9331-6893
-- https://orcid.org/0000-0002-9331-6893
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sharma, Kshitij.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ochoa, Xavier.
Relator term editor.
-- (orcid)0000-0002-4371-7701
-- https://orcid.org/0000-0002-4371-7701
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hammad, Rawad.
Relator term editor.
-- (orcid)0000-0002-7900-8640
-- https://orcid.org/0000-0002-7900-8640
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 9783031080753
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031080777
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031080784
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-08076-0">https://doi.org/10.1007/978-3-031-08076-0</a>
912 ## -
-- ZDB-2-SCS
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-- ZDB-2-SXCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

No items available.

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