|
Title:
|
AUTOMATIC ADAPTIVE ASSESSMENT IN M-LEARNING |
|
Author(s):
|
Shuangbao Wang , Michael Behrmann |
|
ISBN:
|
978-972-8924-95-9 |
|
Editors:
|
Kinshuk, Demetrios G Sampson, J. Michael Spector,Pedro Isaías and Dirk Ifenthaler |
|
Year:
|
2009 |
|
Edition:
|
Single |
|
Keywords:
|
m-Learning, adaptive, video indexing, agents |
|
Type:
|
Short Paper |
|
First Page:
|
435 |
|
Last Page:
|
438 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Adaptive assessment of video based m-training is an area which involves many technologies. This paper presents the
design and implementation of an m-Learning system that has video indexing and automatic caption creation features. The
system is able to adjust the m-Learning content based on the progress of the participants. Unlike most mobile devices, in
which only downloading is enabled, the system is able to not only download the content to the devices, but also upload
data such as learning results, answers to quizzes, etc. back to the remote databases. It provides a two-way interactive
learning experience. In addition, the system is capable of creating video quizzes and searching videos using text from the
speech.
The research also focuses on collaborative learning, video indexing and automatic caption creation. The m-Learning a
modules, together with other resources construct a one-point interface for people to access by both PDAs and PCs. This
system is being tested by educational professionals on an online system with monthly traffic of over 30,000 hits. |
|
|
|
|
|
|
