Measuring E-learning Effectiveness Through Testing E-content and Attention Correlation
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Fetaji, B., Pop-Jordanova, N., Zorcec, T. & Markovska, S. (2007). Measuring E-learning Effectiveness Through Testing E-content and Attention Correlation. In T. Bastiaens & S. Carliner (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (pp. 293-298). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/26342.
Conference Information

World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2007
Quebec City, Canada
October 15, 2007
ISBN 1-880094-63-0
Theo Bastiaens & Saul Carliner
AACE
More Information on ELEARN
Table of Contents
Authors
Abstract
This paper is a result of practical research activities focused on testing e-learning indicators: e-content and attention as well as their interrelated correlation. In order to investigate further on the possibilities of improving and increasing accessibility to e-content and attention, that from a previous study both were assessed as most influencing e-learning indicators, we have realized empirical research analyses focused in testing this indicators and their correlation. We have combined neuroscientific testing approach combined with psychometric testing and software engineering usability testing as new methodology for assessing e-learning effectiveness. Combination of all this methodologies in assessing and measuring attention based on e-content we named as PTPMELUAT methodology. Such examination is critical considering the promises, organization and management, heavy investments, expectations, and exponential growth associated with e-learning effectiveness.
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