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Intrinsic motivation of Chinese learning in predicting online learning self-efficacy and flow experience relevant to students’ learning progress
Jon Chao Hong
, Ming Yueh Hwang
*
, Kai Hsin Tai
, Pei Hsin Lin
*
Corresponding author for this work
Department of Industrial Education
Department of Adult & Continuing Education
Research output
:
Contribution to journal
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Article
›
peer-review
95
Citations (Scopus)
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Dive into the research topics of 'Intrinsic motivation of Chinese learning in predicting online learning self-efficacy and flow experience relevant to students’ learning progress'. Together they form a unique fingerprint.
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Social Sciences
Chinese
100%
Student Learning
100%
Electronic Learning
100%
Self-Efficacy
100%
Intrinsic Motivation
100%
Learning Progress
100%
Structural Equation Modeling
7%
Confirmatory Factor Analysis
7%
Chinese Character
7%
Heritage Language
7%
Character Recognition
7%
Written Language
7%
Psychology
Self-Efficacy
100%
Flow Experience
100%
Intrinsic Motivation
100%
Online Learning
100%
Southeast Asians
100%
Degree of Learning
50%
Factor Analysis
25%
Computer Science
Flow Experience
100%
Intrinsic Motivation
100%
Electronic Learning
100%
Structural Equation
25%
Character Recognition
25%
Written Language
25%
INIS
learning
100%
china
100%
data
11%
taiwan
5%
interactions
5%
equations
5%
modeling
5%
drills
5%