Engineering & Materials Science
Students
100%
Education
44%
Decision making
38%
Thin films
37%
Teaching
30%
Latent Class Analysis
30%
Industry
28%
Nanowires
26%
Aluminum oxide
25%
Dye-sensitized solar cells
21%
Fabrication
21%
Factor analysis
19%
Energy management
19%
Learning systems
17%
Internet
16%
Curricula
16%
Temperature
15%
Information technology
15%
Semiconductor materials
13%
Nanotubes
13%
Vacuum die casting
13%
Carbon
13%
Data envelopment analysis
12%
Chemical sensors
12%
Magnetron sputtering
12%
Consumer behavior
12%
Hybrid powertrains
12%
Air
12%
Marketing
11%
Experiments
11%
Substrates
11%
Electric vehicles
11%
Virtual reality
10%
Zinc oxide
10%
Websites
10%
Annealing
10%
Engineering education
9%
Oxygen
9%
Fuel cells
9%
STEM (science, technology, engineering and mathematics)
9%
Photocatalytic activity
9%
Eye movements
9%
Rough set theory
9%
Mechatronics
8%
Electrolytes
8%
Coatings
8%
Sputtering
8%
Managers
8%
Smartphones
8%
Welding
7%
Cloud computing
7%
Life cycle
7%
Random access storage
7%
Chaos theory
7%
Crystalline materials
7%
Lead
7%
Flow graphs
7%
Mobile computing
7%
Microstructure
7%
Fatigue of materials
7%
Machining
7%
Eye tracking
7%
Zinc
7%
Cellular telephones
7%
Nanoparticles
6%
Sampling
6%
Titanium dioxide
6%
Flow rate
6%
Intellectual property
6%
Hot Temperature
6%
Electric arc welding
6%
X ray diffraction
6%
Fuzzy neural networks
6%
Indium
6%
Integrated circuit design
6%
Powertrains
6%
Stainless steel
6%
Consumer electronics
6%
Hybrid vehicles
6%
Tungsten
6%
Rapid prototyping
6%
Welds
5%
Anodic oxidation
5%
Personnel
5%
Diffraction patterns
5%
Field programmable gate arrays (FPGA)
5%
Disasters
5%
Conversion efficiency
5%
Brakes
5%
Contact angle
5%
Etching
5%
Telecommunication
5%
Systems analysis
5%
Foundries
5%
Aluminum alloys
5%
Cryptography
5%
Gases
5%
Extrusion
5%
Hybrid systems
5%
Costs
5%
Social Sciences
learning
40%
student
34%
Taiwan
33%
self-efficacy
29%
anxiety
27%
performance
16%
Internet
16%
learning success
14%
acceptance
14%
engineering
13%
Teaching
12%
innovation
12%
decision making criterion
11%
education
10%
evaluation
10%
self-confidence
10%
electronic learning
10%
learning environment
9%
teacher
9%
fatigue
9%
factor analysis
9%
learning performance
9%
firm
9%
questionnaire
8%
creativity
8%
experience
8%
gender-specific factors
8%
social media
8%
mathematics
7%
industry
7%
addiction
7%
virtual reality
6%
elementary school
6%
physics
6%
Group
6%
intelligence
6%
experiment
5%
Blended Learning
5%
energy
5%
expert
5%
decision making
5%
manufacturing industry
5%
classroom
5%
Mathematics
Technology Acceptance
20%
Multiple Criteria Decision Making
17%
Energy Management
16%
Framework
15%
Decision Making
13%
Evaluation
13%
Strategy
12%
Business
12%
Performance
11%
Influence
10%
Taiwan
10%
Electronics
9%
Design
9%
Empirical Study
9%
Student Learning
9%
Marketing
9%
Structural Equation Modeling
8%
Patents
8%
Mobile Devices
8%
Multicriteria Decision-making
8%
Education
7%
Self-efficacy
7%
Learning
7%
Skills
7%
Analytic Network Process
7%
Multiple Objective Programming
7%
Data Envelopment Analysis
7%
Mining
7%
Training
7%
Rapid Prototyping
6%
Prediction
6%
Universities
6%
Zinc Oxide
6%
Manufacturing
6%
Industry
6%
Semiconductors
6%
Fuzzy Neural Network
5%
Engineering
5%
Electronic Learning
5%
Engine
5%
Relationships
5%
Service Quality
5%
Curriculum
5%
Model
5%
Thin Films
5%
Particle Swarm Optimization
5%
Foraging
5%
Oxides
5%
Knowledge
5%
Business Model
5%
Web-based
5%