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MVADER - Coggle Diagram
MVADER
Methodology
Guiding Frameworks
Visual Analytics
Importances in MVADER
Data Visualization
Iterative Process
Importance in Data Analysis
Multimodal Analysis
Mode
Definition
Not Modes from Other Context
Importances in ER Research
Importances in MVADER
Sociocultural & Historical Influences
Regularities
Multimodal Ensembles
Meaning Potentials
Variation Theory
Variation Analysis
Key Concepts
Learning
Object of Learning
Aspect of Variation
Features
Importances in ER Research
Importances in MVADER
Step 1: Content Analysis
Step 2: Multimodal Analysis
What modes are used?
How modes are used?
Step 3: Panelization
Dynamic ERs
Static ERs
Single-Panel Single Images
Single-Panel Multiple Images
Multiple-Panel Single Images
Flowchart :star:
Step 4: Variation Score Assignment
Scoring regime :star:
Data Melting
Step 5: Visual Analytics
Dashboard
Weighted/Non-Weighted Analysis
Recommended software
Tableau
Free student license
Simple UI
Interactive
Flowchart :star:
Context: Coronavirus Structural Biology ERs
Familiar Topic
ERs from Reputable Sources
PDB
AMI
BMC
Formats
Static
Single-panel single-image
Single-panel multiple-image
Multiple-panel single-image
Dynamic
Animation
GIF
Application
Comparison to Educator/Student Interview Data
Comparison to Student Psychometric Data (Eye-Tracking)
Comparison between ERs for Design Purposes
for Future Design & Creation
for Instructional Material Selection
for Semiotic Analysis
for Development
Using Analysis Result as Resource to Teach Visual Literacy
Note
MVADER Result is not judgmental (mostly)
A feature is salient (or not) at a certain time
A mode is used (or not) at a certain time
Comparison to Client's Intention
Demonstration
Step 1
Step 2
Step 3
Step 4
Step 5
Future Work
Evidence-Based Weighted Factor Analysis
Beyond Visual Modes
Narration
Music
Sound Effect
Further Characterize Other Visual Modes
Color hue, tint, shades
Glowing
Analysis of non-linear ERs
Interactive apps
Simulations
Conclusion
Can be used on static and dynamic ERs
Can be used regardless of natures of topic
Multiple Facets
Content
Visual Design
Information Hierarchy
Multiple LODs
Introduction
ER Content & Design Characterizations
VADER
Critiques
Lack of Analysis on Visual Signs
Only briefly described
Only mentioned position, size, & label
Lack of Directions in Analysis Other Static ER Formats
Only images with arrows
Treat Position, Size, and Label Equally :check:
Lack Proper Visual Analytics Guidelines
Heatmap :red_cross:
Treat Colors and Shape as Unchanged Signs
Lacks instructions in analysis at multiple LODs
Difficult to compare across ERs
Summary
Flowchart :star:
The Only Characterization Method of ER Content
Not Peer-Reviewed
Semiotic analysis
Examples
Analysis of Arrows
Analysis of Convenctions
Analysis of Complex Process Diagrams
Critiques
Could be too descriptive
Underexplored
Why do we need them?
Other assessments are not studying the ERs but the learners' performances
Comparative studies
Score testing
Eye tracking
Decoding visual languages
Domain-specific
ERs
Combinations of Design Compositions
Audience learns an information by perceiving the variation of its feature in the ER
Format
Static
Dynamic
Mixed
What can ERs do?
Convey imperceptible, abstract, and complex
Development Criteria
Better Understanding on Visual Design of Scientific ERs
More Insights about ERs from Different Angles or LOD
Readily to Analyze Charts
More Inclusive on ER Formats
Limitation :red_flag:
Lack of Cultural Consideration
Lack of Consideration for Magnitude of Depiction
Size: Big
Position: Center
Color: Bright
Shape: Sharp/Irregular
Camera Movement: Rapid