| Summary: | E-Learning is gaining increased importance in government agendas and among other stakeholders such as academics, students and technology Providers. This study examines the factors contributing to attitudes towards E-Learning in higher education among stakeholders in Jordan. The research developed a TAM-EL model for predicting the intention to adopt E-Learning based on the constructs of the Technology Acceptance Model (TAM). TAM-EL proposes that Perception of usefulness of technology, Perception of ease of use of the technology, Patronised (degree support for the technology), and Practised (previous experience with the technology) influence attitude towards adoption of E-Learning. The main research question of the study was: To what extent does the proposed model, in particular the role of the components Perception, Patronised, and Practised, play in the adoption of E-Learning? The TAM-EL model was tested using data collected from a large sample of participants representing E-Learning Users and Providers from universities in Jordan. The partial least square method was used to test the model for the study and regression and multiple regression analysis were used to test the hypotheses of the study. The findings of the study validated the TAM-EL model for technology adoption among Users and Providers of E-Learning in Jordan. Moreover, attitude of Providers towards E-Learning was found to be a very strong predictor of the adoption of E-Learning by the institution, accounting for approximately three-quarters of the variance in prediction of E-Learning. In addition, the degree of support for Providers as measured by the Patronised variable accounted for approximately two-thirds of the variance in Prediction of E-Learning, suggesting that this variable is a significant factor contributing to Attitude and to Prediction. Additionally, the findings and the analysis indicate that Users also have an important role as stakeholders in the adoption of E-Learning in Jordan. While the variable of Attitude contributes to approximately 57% of the variance in the Prediction of E-Learning, the variable of Patronised contributes only approximately 28% of the variance in the Prediction of E-Learning. Moreover, the findings show a marked difference between Users' and Providers' Attitudes towards E-learning and therefore an obvious recommendation is the need to engage Users in a more determined manner.
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