|
Title:
|
A NAVIGATION METHOD DEPENDENT ON INDIVIDUAL E-LEARNING STRATEGIES |
|
Author(s):
|
Makoto Takeya , Masanao Kobayashi , Tatsuya Nakauchi , Ikuo Kitagaki , Keizo Nagaoka |
|
ISBN:
|
978-972-8924-42-3 |
|
Editors:
|
Miguel Baptista Nunes and Maggie McPherson (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
|
Year:
|
2007 |
|
Edition:
|
V II, 2 |
|
Keywords:
|
e-learning, navigation, learning strategy, learning sequencing |
|
Type:
|
Short Paper |
|
First Page:
|
17 |
|
Last Page:
|
23 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
One of the authors has presented the Strategic Task Sequencing method (STS method) through the use of a learning
structural graph. The STS method presents a few optimum learning sequences based on the learners learning strategy. It is
important for a navigation system to understand individual learners learning characteristics and to assist their direction.
This paper applies the STS method to the navigation method that is developed as a supporting tool for e-learning. Using the
STS method, individual learners are able to choose their learning sequences according to their learning strategies. Next, the
paper will propose a fuzzy estimation method for individual e-learning sequence strategies based on the STS method in
order for the navigation system to grasp these strategies. This estimation method applies fuzzy decision-making to
estimation for strategies based on the STS method (FSTS method). The paper begins with a discussion of the STS method
and its algorithm. It will then present the FSTS method and its algorithm. |
|
|
|
|
|
|
