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吳 亭芳
副教授
復健諮商與高齡福祉研究所
特殊教育學系
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227
引文
9
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
28
引文
3
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
6
引文
1
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
2002
2025
每年研究成果
概覽
指紋
網路
研究計畫
(5)
研究成果
(54)
類似的個人檔案
(3)
指紋
查看啟用 Ting-Fang Wu 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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重量
按字母排序
INIS
accuracy
29%
adolescents
12%
adults
11%
applications
14%
assessments
89%
attitudes
12%
cats
34%
children
80%
china
47%
computers
84%
control
36%
correlations
16%
data
26%
design
30%
devices
62%
dimensions
12%
education
24%
efficiency
16%
environment
17%
evaluation
21%
humans
11%
information
41%
injuries
12%
interactions
22%
interventions
16%
learning
100%
limbs
11%
maintenance
11%
mice
60%
motors
36%
nervous system diseases
11%
operation
19%
panels
11%
people
53%
performance
72%
reliability
13%
schools
21%
screens
16%
solutions
13%
speed
16%
spinal cord
12%
surveys
13%
taiwan
26%
teaching
12%
tools
37%
trains
14%
universities
11%
values
13%
virtual reality
40%
vocational training
18%
Computer Science
Assessment System
22%
Assessment Tool
11%
Assistive Technology
11%
Capacity Dimension
11%
Character Recognition
11%
Collecting Data
5%
Computer Device
11%
Computer Interaction
11%
Computer Science
11%
Computer-Assisted Learning
11%
e-learning Platforms
11%
Electronic Learning
11%
Evaluation System
5%
Extended Reality
11%
Individual Activity
11%
Information and Communication Technology
11%
Information Technology
11%
Keyboard
29%
Literature Review
5%
Mobile Device
11%
Motor Disability
11%
Multiple Representation
11%
Online Evaluation
5%
Pedagogical Agent
11%
Physical Impairment
11%
Positive Attitude
11%
Program Instruction
11%
Related Factor
5%
Skill Training
12%
Temporal Characteristic
5%
Total Variance
5%
Typically Developing Child
5%
Utility Software
5%
Virtual Environments
11%
Virtual Reality
27%
Vocational Training
22%
Social Sciences
Chinese
22%
Computer Assisted Instruction
5%
Confirmatory Factor Analysis
11%
Construct Validity
5%
Delphi
11%
Education
5%
Extended Reality
11%
Factor Analysis
11%
Information and Communication Technologies
22%
Intellectual Disability
33%
Learning Disabilities
33%
Learning Group
11%
Research Design
7%
Special Education
5%
Special Education Service
5%
Special Educator
11%
Technology Acceptance Model
7%
University Students
11%
Variance
18%
Virtual Reality
9%
Vocational Skill
11%
Vocational Training
7%
Word Recognition
11%