A Basic Study on a Task-based Style Foreign Language Learning Environment Using RFID and a 3DCG Character


This paper presents a method of integrating RFID tags and a 3DCG character into a foreign language learning environment, mainly focusing on the following two objectives: (1)The application of RFID tags to the use of cards or realia as learning materials in task based-style foreign language activities; (2)The use of template programs to support TVML script production for 3DCG contents. From the results of the experiment, we found that the prototype system was easy to use and the system with RFID tags shows the possibility of achieving task-based style activities. Regarding script production, most participants had no problem editing the vocabulary and expressions in the text files to increase the variation of the TVML scripts. This suggests that the prototype system is not complicated for non-professional system users, although it might be much simpler for advanced computer users to place all the data within a single CSV file for editing according to their comments. Thus, we found that the support for script production should depend on users’ computer skill level. Regarding the introduction of a 3DCG character, the results suggest that a 3DCG animated character is a better conversation partner than a 2D still character. The results also suggest that practicing with a 3DCG character could help to reduce nervousness and shyness in learners, and may help them to become familiar with real conversation. However, regarding this point, there may be individual differences in opinion depending on age, gender and personality according to some comments of the participants.

Author Information
Emi Shibuya, Kobe University, Japan
Min Kang, Kobe University, Japan
Kazuhiro Ohtsuki, Kobe University, Japan
Harumi Kashiwagi, Kobe University, Japan

Paper Information
Conference: ACSET2016
Stream: Education and Technology: Teaching, Learning, Technology & Education Support

This paper is part of the ACSET2016 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window

Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by James Alexander Gordon