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The Rise of Multimodal Tutors in Education
Daniele Di Mitri
*
, Jan Schneider
,
Hendrik Drachsler
*
Corresponding author for this work
Research Line Online Learning and Instruction (part of ERA program)
Research output
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Computer Science
Learning Analytics
100%
Multimodal Learning
100%
Case Study
50%
Annotation
50%
Exploratory Study
50%
Learning Performance
50%
Conceptual Model
50%
Technical Challenge
50%
Visual Inspection
50%
Analytic Model
50%
Physiological Data
50%
Data Performance
50%
Artificial Intelligence
50%
Real-Time Feedback
50%
Keyphrases
Multimodal Data
100%
Multimodal Learning Analytics
50%
Skill Acquisition
25%
Learning Performance
25%
Technological Framework
25%
Conceptual Model
25%
Time Feedback
25%
Psychomotor Skills
25%
Cardiopulmonary Resuscitation Training
25%
Data Annotation
25%
Annotation Tool
25%
Digital Feedback
25%
Learning Analytics Models
25%
Visual Inspection
25%
Inspection Tools
25%
Artificial Intelligence
25%
Physiological Data
25%
Performance Learning
25%
Social Sciences
Learning Analytics
100%
Education
100%
Skill Acquisition
50%
Learning Performance
50%
Feasibility Study
50%
Big Five
50%
Artificial Intelligence
50%
Biochemistry, Genetics and Molecular Biology
Psychomotor Performance
100%
Pulse Rate
100%
Artificial Intelligence
100%