THE PREDICTORS OF SUCCESS FOR E-LEARNING IN HIGHER EDUCATION INSTITUTIONS (HEIs) IN N-W.F.P, PAKISTAN

The interrelationships between different perceptions and attitudes of e-Learning users are widely researched, which reveals that whatever the perception and theory of a user about the Information and Communication Technologies (ICTs) and e-Learning environment are, the same is reflected in his/her a...

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Veröffentlicht in:Revista de gestão da tecnologia e sistemas de informação 2010-07, Vol.7 (3), p.545-578
Hauptverfasser: Kundi, Ghulam Muhammad, Nawaz, Allah, Khan, Shadiullah
Format: Artikel
Sprache:eng ; spa
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Zusammenfassung:The interrelationships between different perceptions and attitudes of e-Learning users are widely researched, which reveals that whatever the perception and theory of a user about the Information and Communication Technologies (ICTs) and e-Learning environment are, the same is reflected in his/her attitude towards using educational technologies for teaching and learning. The objective of this study was to measure the relationships between the indicators (perceptions about ICTs, educational technologies, development and use of e-Learning) and the Criterion variables (problems, satisfaction and prospects) among e-Learning users in Higher Education Institutions (HEIs) of N-W.F.P, Pakistan. The study found the existence of strong relationships in terms of indicators explaining the dependent variables. However, the impact is different from one variable to another. 81% of Problems, 57% of Satisfaction and 23% of Prospects are explained by the Indicators. Problems are significantly explained by all four indicators, while Satisfaction has been predicted by three of the indicators (excluding Perceptions). The study found that only two indicators (Perceptions about ICTs and Educational technologies) predict the Prospects, while Development and Use do not. The surprising finding is that Prospects are not defined by the 'Existing Development and Use Practices'. Rather, their perceptions about ICTs and e-Learning tools strongly forecast the Prospects. [PUBLICATION ABSTRACT]
ISSN:1807-1775
1809-2640
1807-1775
DOI:10.4301/S1807-17752010000300003