Structural Identification and Comparison of Intelligent Mobile Learning Environment
Journal Title: Journal of Applied Quantitative Methods - Year 2007, Vol 2, Issue 4
Abstract
This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in the paper.
Authors and Affiliations
Nitin UPADHYAY, Vishnu Prakash AGARWAL
Control of Projects - A Cybernetic Control
Control is the last element in the implementation cycle planning-monitoringcontrolling. Information is collected about system performance, compared with the desired (or planned) level, and action taken if actual and desi...
Improving the Performance of Sparse LU Matrix Factorization Using a Supernodal Algorithm
In this paper we investigate a method to improve the performance of sparse LU matrix factorization used to solve unsymmetric linear systems, which appear in many mathematical models. We introduced and used the concept of...
Assessment of Organizational Learning within Teams
Two representative approaches to measuring and assessing organizational learning are compared. Based on the benefits and drawbacks of each, an alternative framework is proposed for an assessment based on action science,...
Study of Equilibrium Prices, Using General Equilibrium Models
The first part of the paper presents some theoretical aspects related to general equilibrium models and the motivation of formulating the general equilibrium models as mixed complementary ones. Then we present a general...
Students’ Perceptions Regarding E-learning
We live in an era where IC&T generates numerous transformations to the classic way of learning. The most known results of these transformations concretise in two means of learning through IC&T: e-learning and com...