Students' decisions to use an eLearning system: a structural equation modelling analysis

This research investigates and identifies some of the major factors affecting studentsâ?? adoption of an e-learning system at Arab Open University in Jordan. E-learning adoption is approached from the information systems acceptance point of view. An extended version of the Technology Acceptance Model (TAM) was developed to investigate the underlying factors that influence studentsâ?? decisions to use an e-learning system. The proposed model uses the actual use of an e-learning system. It is different from most of the prior TAM studies, which only used a single dependent variable (intention to use). The model was estimated using Structural Equation Modelling (SEM). The final models derived from this study indicated that beliefs of usefulness and ease of use partially mediate the relationship between external factors and intention to use and actual use of e-learning systems

Investigation The Weather Effects on The Sound Absorption Coefficients in Cinjar City

In this work , the absorption coefficients A? had determined for different acoustic source by the air atmosphere for one day in Cinjar city, based on an analytical method which employed on several empirical equations that taking in consideration the various meteorological conditions in which the climate elements changed in additional to frequencies sources .The results shows the atmospheric absorption is sensitive to the composition of air , particularly to the wide varying concentration of water vapor and temperature where the air temperature play and frequency variation are dominate that controlling the values of A?

Perturbation theory for semi-Markov control problems

In earlier work, the authors considered the perturbation of systems undergoing Markov processes in which the times between two consecutive decision time points were equidistant. They now consider perturbations of processes for which the times between transition are random variables. These are called semi-Markov processes

Aggregation-disaggregation algorithm for e2-singularly perturbed limiting average Markov control problems

In this paper we consider a singular perturbation of order 2 for a Markov decision process with the limiting average reward criterion. We define a singular perturbation of order 2 in the following sense: we assume that the underlying process is composed of n separate irreducible processes, and that a small e-perturbation is such that it ”unites” these processes into m separate irreducible processes. Then another small e2-perturbation is such that it “unites” these latter processes into a single irreducible process. The present paper is organized as follows: In Section 2, we formulate the singular perturbation of order 2. In Section 3, we give explicitly the limit Markov Control Problem (limit MCP), that is entirely different from the original unperturbed MDP, which forms an appropriate asymptotic approximation to a whole family of perturbed problems. Thus only the single limit MCP needs to be solved

Perturbation and stability theory for Markov control problems

A unified approach to the asymptotic analysis of a Markov decision process disturbed by an ε-additive perturbation is proposed. Irrespective of whether the perturbation is regular or singular, the underlying control problem that needs to be understood is the limit Markov control problem. The properties of this problem are the subject of this study

Effect of population density and dose of nitrogen and potassium fertilizers on performance of green bean (Phaseolus vulgaris)

This experiment was executed in a split randomized complete block design with three replications. Two plant densities (D), (D1; D2) equal to one plant and two plants per pot and seven fertilizers doses (F), (N0 K0; N1 K0; N1 K1; N2 K0; N2 K2; N0 K1; N0 K2) were investigated. N0, N11 and N2 equal to 0, 0.46, and 0.92 g urea while, K0, K1 and K2 equal to 0, 0.42 and 0.84 g potassium sulfate,  respectively. The results showed that the treatments had no effect on the number of  branches per plant and vice versa the interaction. Lower plant density (D1) and higher dose of both elements (N2 K2) significantly increased shoots dry weight, number of pods and pod yield per plant while, in second season the higher value of those yield parameters was obtained at lower dose of nitrogen (N1 K0), the interaction of those treatments increased significantly plant dry weight. The  interaction between lower plant density (D1) and nitrogen irrespective of their quantity and potassium, (N1 K0; N1 K1; N2 K0 and N2 K2) increased the number of pods and pods yield per plant, while the greatest yield per hectare was obtained at density planting (D2) receiving higher doses of both fertilizer and lower dose of nitrogen (N2 K2: N1 K0) at the first and second season respectively.Keywords: Cultivar Djadida; Nutrient Competition; Vegetative Productivity

How Viable Is the UTAUT Model in a Non-Western Context?

The present research examines the plausibility of Unified Theory Acceptance and Use Technology (UTAUT) model in predicting internet banking behaviour as a newly adopted technology third world countries. Data is collected from three Arab countries: Jordan, Saudi Arabia and Egypt. Confirmatory factor analysis is applied to test constructs measurement and model hypotheses. Findings are congruent with model testing under conditions of volitional usage behaviour. In this regard, the role of facilitating conditions variable is insignificant as a determinant of usage behaviour. Social norms variable also proved to be weak determinant of behavioural intentions mainly owing to users’ experience. Findings demonstrate effort expectancy as the key determinant of internet banking usage behaviour in the examined markets, while users’ experience moderates the impact of effort expectancy on behavioural intention. Results should enhance our understanding of internet banking usage in developing countries and support e-services promoting in this region