Mobile learning is an extended version of e-learning. The revolution of handheld devices had encouraged design courses to be compatible with different mobiles versions, brands and platforms. Mobile exams need more attention to strengthen mobile learning certificates. A major issue with mobile exam is student authentication and identification before and during exam session. With no presence of proctor, more techniques are available to ensure student identification. In this paper, we proposed a model that uses a traditional username and password in addition to the biometric iris recognition technique to verify student identity before and during mobile exams.
As a response to the COVID-19 pandemic, various e-learning platforms are being used in different universities. E-learning platforms such as Microsoft Teams, Zoom, Moodle, Google Classroom provides different features that may be helpful during the pandemic. In this research, the number of registered students, the activities held on e-learning platforms before, during, and after the pandemic are compared in Hashemite University as a case study. The analysis shows that the interaction between students and their lecturers has increased by more than 90% across all platforms at the Hashemite University during the pandemic. However, it has increased by 64% with the Moodle platform. The effect of three learning methods; face-to-face, blended, and online learning is examined and the preference of students investigated with courses’ categories such as remedial materials, collage requirements, specialization materials, and free materials. The students preferred online learning for remedial and free materials, with percentage values of 75% and 57%, respectively, but face-to-face learning is chosen for collage requirements and specialization materials, with percentage values of 54% and 78%, respectively.
In Jordan, e-learning tools are used to enhance the traditional learning process in traditional class rooms. Course management systems (CMS) are being utilised by many Jordanian universities to improve the learning process. The Hashemite University exploits many e-learning tools, in particular Moodle and Elluminate Live! In this paper, we will study the experience of the Hashemite University toward Moodle and Elluminate Live! In computer skills course (CS). This study helps to highlight the importance of using such tools to reduce resources required to the CS course in addition to understand student's perception toward blended education.
Service-oriented computing is meant to support loose relationships between organizations; Serviceoriented architectures often have the goal to integrate various distributed services of one or more organizations in a flexible way to be able to quickly react on business changes. Distributed services provided a new way of distributed computing that achieve the interoperability between heterogonous application through platform and language independent interfaces. The creation of value added services by composition of existing ones is gaining a significant momentum. Distributed service composition is meant to support loose relationships between implemented services in order to provide new functions. A composite service is the one resulting from the integration, coordination and synchronization of different service components. In this paper, we generated A Services Composition Model (SCM) that provides a general solution for the services composition problem by realizing the requirements of a new service using the requirements of the already existing service. We explained in details all the steps of the composition process; services registration, services discovery, services selection, services invoking, and services integration. Although the SCM is not bounded to one particular algorithm to compose services, we generated an application as an example to test our Service Composition Model. We also generated the Services Composition Language (SCL) as a simple text-based language which allows the user to express the requirements of his request, the inserted request will then be analyzed using our Parsing Algorithm to determine the name of the requested services, after that our Service Composition Algorithm will execute all the steps of the composition process and return the result of the composition to the user.
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