Welcome to Tamura Labo’s Web.
Research Topics 2013:
- TEAL: Technology-enabled Active Learning
- “Active Learning” is a broad concept that includes various learner-centered learning activities, e.g. group discussion, debate, investigation, presentation, peer-review etc. It arose as an alternative approach to conventional instruction-centered knowledge delivery in the classrooms.
TEAL is a modern vocabulary, and it aims to help and accelerate the various active learning approaches with use of computer and network technologies. For example, group discussion or collaborative learning activities will be supported and enhanced with use of advanced CSCL environments. There are many possibilities to adopt ICT to active learning, and also technical or methodological limitations became clear.
Currently, we are going to develop systems below.
- Text discussion analysis and intervention with use of Japanese NLP
- Supporting environment for discussion facilitator
- Interoperability support of Audio and text based discussion
- Electronic Textbook
- In many countries, paper-based textbooks and references are being replaced with electronic ones. In Japan, MEXT has a roadmap to deliver e-text contents and devices to all elementary and secondary school students in 2020.
However, even from engineering point of view, there are many arguments to develop, deliver, and carry out e-text based education. In my Lab, we are investigating topics below.
- Clarify functional requirements of e-text and e-references.
- Also, as a project co-editor of ISO/IEC JTC1/SC36 WG6, Tamura is discussing standardization of e-text formats and specification with international SC36 members.
- Sports Learning Support
- We are going to develop a three-dimensional motion capture and feedback system of flying disc throwing action learners with use of Kinect device. Rather than conventional 3-D motion capture system, Kinect has advantages of cost merit, easy system development and operation. A novice learner of flying disc is trained to keep arm movement in steady height, to twist the waist, and to stretch the elbow according to the waist angle. The proposing system captures learners’ body movement, checks their skeleton positions in pre-motion / motion / post-motion in several ways, and displays feedback messages to refine their actions.
Current Job Title:
Department of Information and Communication Sciences
Faculty of Science and Technology, Sophia University, Tokyo Japan