Ting-Chia Hsu

Prof. Dr. Ting-Chia Hsu

Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei 106, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in Computers & Education
Verified
Journal Article
Closed access
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu
SCShao-Chen Chang
Shao-Chen Chang
YHYu-Ting Hung
Yu-Ting Hung

1 March 2017 in Computers & Education
Verified
Journal Article
Closed access
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu

1 April 2013 in Computers & Education
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Journal Article
Closed access
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu
GHGwo-Jen Hwang
Gwo-Jen Hwang
CCChih-Kai Chang
Chih-Kai Chang

1 March 2020 in Computers & Education
Verified
Journal Article
Closed access
SCShao-Chen Chang
Shao-Chen Chang
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu
Morris JONGMorris JONG
Morris JONG

1 March 2017 in Computers & Education
Verified
Journal Article
Closed access
Gwo-Jen HwangGwo-Jen Hwang
Gwo-Jen Hwang
THTing-Chia Hsu
Ting-Chia Hsu
CLChiu-Lin Lai
Chiu-Lin Lai
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu

22 March 2011 in Computer Assisted Language Learning
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Journal Article
Closed access
CCChih-Kai Chang
Chih-Kai Chang
Ting-Chia HsuTing-Chia Hsu
Ting-Chia Hsu
This research introduced mobile devices into an intensive reading course and allowed functions that are usually found only in the language laboratory to be easily and flexibly utilized in the general classroom. To enhance and improve the reading comprehension of English as a foreign language (EFL) readers, a computer-assisted-language-learning (CALL) system for use on PDAs, integrating an instant translation mode, an instant translation annotation mode, and an instant multi-users shared translation annotation function was developed to support a synchronously intensive reading course in the normal classroom. Experiments were conducted to analyze the usage of the system, including the attitude and satisfaction of users. Moreover, the study determined the optimum number of users in each group for the system to work most efficiently, and for students to improve their reading comprehension. Experimental results indicated that those students who were grouped into twos, threes, and fours had significantly higher levels of comprehension than individual students, but those grouped into fives did not. Overall, on average around 70% of the students agreed that the system was useful, 75% of the students agreed that the system was easy to use, and 66% of the students perceived satisfaction with the system. The user intentions were also further analyzed in light of a path analysis method.