Please use this identifier to cite or link to this item:
Title: Web collaboration with Google wave
Authors: Soh, Alex Ghim Yeow.
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Issue Date: 2010
Abstract: In Singapore, children taking the Chinese language as their mother tongue are having difficulty as the number of strokes in a character is tremendous. This has caused many children to dislike the language. As the number of children who are IT savvy increase, the usage of computers as an educational tool is in demand. This project aims to develop language learning tools that use rich media in a collaborative environment. Using technology such as Google Wave, HTML5 canvas, GWT and JSON, five wave gadgets, a wave robot and puzzle server are developed. Each of these gadgets satisfies a set of closely related functional requirements. With canvas as the main visual element used in the gadgets, a collision detection system is essential to the success of the project. Furthermore, the gadgets were internationalized in order to be widely adapted. Tests such as security test, usability test and performance test were conducted. The feedbacks collected from usability test have provided some insights on the feasibility of these gadgets. Problems and solutions associated with Same Origin Policy, Byte Order Mark and regular expression were also discussed. This report concludes by suggesting possible improvement and features to enhance the gadgets and robot, including export/import question, voice recognition, text to speech reader and robot as an intelligent tutor. A collaborative project with the educational industry was also suggested.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
2.69 MBAdobe PDFView/Open

Page view(s) 20

Updated on Nov 23, 2020

Download(s) 20

Updated on Nov 23, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.