Overview of the levels of ICT and information literacy skills in Canadas preservice teachers
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 11
Abstract
To better understand the strong relationship between ICT and information literacy competencies, this short paper first describes their roles in the various education levels in Canada, including initial teacher training. We then provide an overview of empirical studies on the levels of ICT and information literacy competencies in Canadas preservice teachers and offer explanations for these levels. We conclude by proposing solutions to improve the situation, notably through effective approaches to training Canadas future teachers in ICT and information literacy competencies.
Authors and Affiliations
Thierry Karsenti, Simon Collin, Gabriel Dumouchel
Back Radiation Suppression in Modified Aperture Coupled Microstrip Antenna by using patches under the substrate
A microstrip slot antenna for C Band has been proposed with compact structure and suppressed back radiation. In this paper, the feeding technique used is aperture coupling with a modification that patches and the feed li...
EEG Analysis for Differentiating between Brain Death and Coma in Humans
To have an accuracy and fast diagnosis of brain death is very urgent for patients especially for distinguishing brain death from coma circumstance. Electroencephalogram is a method of invasive recording brain signals wit...
Chaos Baker-based Image Encryption in Operation Modes
This research paper study the application of chaos baker map for digital image encryption in different operation modes. The employed modes include the electronic code book (ECB), cipher block chai...
Intrinsic and Extrinsic Motivation to E learning in Higher Education Institutions
There were many researches which were conducted about implementation of e learning in Higher Education Institutions, but few of them were focused on the motivation of e learning. Even though, there are many applications...
Fuzzy Weighted Ordered Weighted Average-Gaussian Mixture Model for Feature Reduction
Feature reduction finds the optimal feature subset using machine learning techniques and evaluation criteria. Some of the irrelevant features are existed in the real-world datasets that should be removed by using the mul...