Ching Kun Hsu
National University of Tainan
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Publication
Featured researches published by Ching Kun Hsu.
Computers in Education | 2013
Ching Kun Hsu; Gwo-Jen Hwang; Chih Kai Chang
In this paper, a personalized recommendation-based mobile language learning approach is proposed. A mobile learning system has been developed based on the approach by providing a reading material recommendation mechanism for guiding EFL (English as Foreign Language) students to read articles that match their preferences and knowledge levels, and a reading annotation module that enables students to take notes of English vocabulary translations for the reading content in individual or shared annotation mode. To evaluate the effectiveness of the proposed approach, an experiment was conducted on a senior high school English course by assigning three classes of students to two experimental groups and a control group. One experimental group learned with the recommendation system with the individual annotation function, the other experimental group learned with the recommendation system with the shared annotation function, while the students in the control group learned with the individual annotation function, but without the recommendation system. The experimental results show that both experimental groups outperformed the control group, but there was no difference in learning outcome between the two experimental groups in terms of learning achievements.
Computer Assisted Language Learning | 2011
Chih Kai Chang; Ching Kun 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.
Computers in Education | 2010
Ching Kun Hsu; Gwo-Jen Hwang; Chih Kai Chang
In a language curriculum, the training of reading ability is one of the most important aspects. Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors as well as the diverse properties of the candidate articles to be taken into consideration. This study proposes a knowledge engineering approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. Experimental results on 29 senior high school students show that the developed system is able to provide expert-like recommendations to the students by taking preferences and knowledge levels of individual students as well as categories and traits of articles into consideration.
Interactive Learning Environments | 2014
Ching Kun Hsu; Gwo-Jen Hwang
Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a computer-assembly course. In addition to comparing the learning achievements and learning satisfaction of the students who learned with context-aware ubiquitous learning and conventional technology-enhanced instruction, the computer-assembling performance, cognitive load, learning perceptions, as well as the learning attitudes of the students are also discussed. It was found that those students utilizing context-aware ubiquitous learning achieved better effects than those with conventional technology-enhanced learning. Moreover, with context-aware ubiquitous learning, the field-independent students presented higher acceptance of cognitive load, and more positive learning experience, learning perceptions, learning satisfaction, and learning attitudes than the field-dependent students.
ReCALL | 2015
Ching Kun Hsu
The aim of this study was to provide adaptive assistance to improve the listening comprehension of eleventh grade students. This study developed a video-based language learning system for handheld devices, using three levels of caption filtering adapted to student needs. Elementary level captioning excluded 220 English sight words (see Section 1 for definition), but provided captions and Chinese translations for the remaining words. Intermediate level excluded 1000 high frequency English words, but provided captions for the remaining words, and 2200 high frequency English words were excluded at the high intermediate caption filtering level. The result was that the viewers were provided with captions for words that were likely to be unfamiliar to them. Participants in the experimental group were assigned bilingual caption modes according to their pre-test results, while those in the control group were assigned standard caption modes. Our results indicate that students in the experimental group preferred adaptive captions, enjoyed the exercises more, and gained greater intrinsic motivation compared to those in the control group. The results confirm that different students require different quantities of information to balance listening comprehension and indicate that the proposed adaptive caption filtering approach may be an effective way to improve the skills required for listening proficiency.
international conference on advanced learning technologies | 2009
Ching Kun Hsu; Chih Kai Chang; Gwo-Jen Hwang
In English courses, it is very important to assign proper articles to individual students for training their reading ability. This study proposes an innovative approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. An experiment has been conducted to evaluate the performance of the approach; moreover, a comparison on the existing approaches is given to show the advantages of applying the innovative approach.
Technology, Pedagogy and Education | 2016
Lung-Hsiang Wong; Ching Kun Hsu
This paper reports a novel, mobile-assisted, game-based learning design for Chinese character learning. In playing the ‘Chinese-PP’ game in a 1:1 (one-device-per-student) setting, each of the 31 target students in Primary 3 (9 years old) is assigned a Chinese character component. A student may make use of his/her own and peers’ character components to form a legitimate Chinese character, and invite the peers with matching components to join his/her group. The intention is to assist the students in developing general orthographic awareness (understanding the structures of Chinese characters) through social negotiation. In this paper, the students’ collaborative learning processes in three game sessions were analysed. The relationships between students with varied learning styles and their game behaviours and learning gains were unveiled as a result. Through the Chinese-PP learning activities that stimulated active peer coaching and social learning, we found that all the target students became active learning participants and achieved high learning gains in the last game session. Recommendations for the future development of such a novel learning approach will also be given.
Educational Technology & Society | 2013
Ching Kun Hsu; Gwo-Jen Hwang; Yu Tzu Chang; Chih Kai Chang
Educational Technology & Society | 2013
Lung-Hsiang Wong; Ching Kun Hsu; Jizhen Sun; Ivica Boticki
Turkish Online Journal of Educational Technology | 2011
Chih Kai Chang; Gwo-Dong Chen; Ching Kun Hsu