This study proposes RBF Network hybrid learning with Particle Swarm Optimization for better convergence, error rates and classification results. In conventional RBF Network structure, different layers perform different tasks. Hence, it is useful to split the optimization process of hidden layer and output layer of the network accordingly. RBF Network hybrid learning involves two phases. The fir...

This paper addresses a challenging and critical issue of how to evaluate dynamically e-Learners' performance. That is by considering their learning response (convergence) time to reach desired output answer. More precisely, this piece of research aims to investigate realistically performance of eeducational phenomenon associated with e-learners' brain response time. Moreover, presented work int...

Mechatronics is becoming an important subject in engineering education and vocational training. Accordingly, there is a growing need for innovative learning concepts, capable of supporting the necessary education and training platforms. Integrated learning arrangements where e-learning with simulations and remote laboratories is combined with experiential learning in real laboratories and at wo...

Web-based adaptive educational systems incorporate complex intelligent tutoring techniques, which enable the system to recognize an individual user and their needs, and consequently adapt the instructional sequence, learning content as well as the presentation of the learning content. The personalization of adaptive learning systems is done through the user model. There are many works related t...

This paper presents a complete description of the improvements that have been conducted for the learning management system at Arab Open University. AOU is the first regional university for open learning in the Middle East and North Africa. The university has strict regulations on the learning process to assure the quality of delivering all learning activities in an optimal way. Accordingly, the...

Relational reasoning is often viewed as the pinnacle of human intelligence. Accordingly, one common viewpoint is that learning categories defined by relational regularities is more difficult than learning categories defined by featural regularities. This view is supported by developmental trends in learning. Studies comparing featural and relational category learning in adults also find a featu...

The authors theorize that 2 neurocognitive sequence-learning systems can be distinguished in serial reaction time experiments, one dorsal (parietal and supplementary motor cortex) and the other ventral (temporal and lateral prefrontal cortex). Dorsal system learning is implicit and associates noncategorized stimuli within dimensional modules. Ventral system learning can be implicit or explicit ...

Standardized learning management systems and contents are becoming prevalent over time with the growing adoption of Web-based learning technologies. The complexity adherent in the SCORM run-time environment APIs and data model, however, makes it difficult for instructional designers, content developers and LMS vendors to tailor their contents and LMSs for the SCORM model. In this paper, our own...

This paper describes Empathic Tutoring System (ETS) which uses character agents for online learning. Eye movement tracking and other physiological measures are used to personalize character agent behaviors (affective and instruction) in an e-learning environment. A prototype system reacts to learner’s eye information in real-time, recording eye gaze and pupil dilation data (plus heart rate and ...

This paper proposes a new teaching and learning approach-project and module based teaching and learning (PMBTL). The PMBTL approach incorporates the merits of project/problem based and module based learning methods, and overcomes the limitations of these methods. The correlation between teaching, learning, practice and assessment is emphasized in this approach, and new methods have been propose...