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The Multimodal Learning Analytics Handbook

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Cover of 'The Multimodal Learning Analytics Handbook'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Multimodal Learning Analytics
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    Chapter 2 Multimodal Learning Analytics and the Design of Learning Spaces
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    Chapter 3 Multimodal Systems for Automated Oral Presentation Feedback: A Comparative Analysis
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    Chapter 4 Modeling the Complex Interplay Between Monitoring Events for Regulated Learning with Psychological Networks
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    Chapter 5 The Role of Metacognition and Self-regulation on Clinical Reasoning: Leveraging Multimodal Learning Analytics to Transform Medical Education
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    Chapter 6 Intermodality in Multimodal Learning Analytics for Cognitive Theory Development: A Case from Embodied Design for Mathematics Learning
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    Chapter 7 Bridging the Gap Between Informal Learning Pedagogy and Multimodal Learning Analytics
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    Chapter 8 Multimodal Learning Experience for Deliberate Practice
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    Chapter 9 CDM4MMLA: Contextualized Data Model for MultiModal Learning Analytics
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    Chapter 10 A Physiology-Aware Learning Analytics Framework
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    Chapter 11 Once More with Feeling: Emotions in Multimodal Learning Analytics
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    Chapter 12 The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review
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    Chapter 13 Sensor-Based Analytics in Education: Lessons Learned from Research in Multimodal Learning Analytics
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    Chapter 14 Framing the Future of Multimodal Learning Analytics
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Title
The Multimodal Learning Analytics Handbook
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-08076-0
ISBNs
978-3-03-108075-3, 978-3-03-108076-0
Editors

Giannakos, Michail, Spikol, Daniel, Di Mitri, Daniele, Sharma, Kshitij, Ochoa, Xavier, Hammad, Rawad

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X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 32%
Lecturer 3 9%
Researcher 3 9%
Student > Master 2 6%
Professor 1 3%
Other 2 6%
Unknown 12 35%
Readers by discipline Count As %
Arts and Humanities 3 9%
Computer Science 3 9%
Business, Management and Accounting 3 9%
Social Sciences 2 6%
Engineering 2 6%
Other 6 18%
Unknown 15 44%