Young Ju Joo

According to our database1, Young Ju Joo authored at least 14 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Factors Influencing Preservice Teachers' Intention to Use Technology: TPACK, Teacher Self-efficacy, and Technology Acceptance Model.
J. Educ. Technol. Soc., 2018

Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs.
Comput. Educ., 2018

2017
Students' expectation, satisfaction, and continuance intention to use digital textbooks.
Comput. Hum. Behav., 2017

2016
The effects of secondary teachers' technostress on the intention to use technology in South Korea.
Comput. Educ., 2016

2015
Motivation, instructional design, flow, and academic achievement at a Korean online university: a structural equation modeling study.
J. Comput. High. Educ., 2015

2014
Integrating user interface and personal innovativeness into the TAM for mobile learning in Cyber University.
J. Comput. High. Educ., 2014

Structural relationships among self-regulated learning, learning flow, satisfaction, and learning persistence in cyber universities.
Interact. Learn. Environ., 2014

Structural relationships among effective factors on e-learners' motivation for skill transfer.
Comput. Hum. Behav., 2014

2013
Structural Relationships among E-learners' Sense of Presence, Usage, Flow, Satisfaction, and Persistence .
J. Educ. Technol. Soc., 2013

Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context.
Comput. Educ., 2013

2012
A Model for Predicting Learning Flow and Achievement in Corporate e-Learning.
J. Educ. Technol. Soc., 2012

2011
Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities.
Comput. Hum. Behav., 2011

Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model.
Comput. Educ., 2011

Investigating the structural relationships among organisational support, learning flow, learners' satisfaction and learning transfer in corporate e-learning.
Br. J. Educ. Technol., 2011


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