Adaptive Educational Hypermedia Systems (AEHS) play a crucial role in supporting adaptive learning and immensely outperform learner-control based systems. AEHS’ page indexing hyperspace rely mostly on navigation supports which provide the learners with user-friendly interactive environment. Such AEHS features systems unique ability to adapt learners’ preferences. However, obtaining timely accurate information for their decision-making process is still challenge due dynamic understanding of...

Digital transformation has led to the exponential advancement of e-learning platforms. Multimedia content plays a vital role in supporting knowledge dissemination for adaptive systems. However, online learners' cognitive preferences towards such multimedia contents have been less explored, and most systems models not yet enrolled processes. Thus, digital divide between millennials generation Z evolved due lack dynamic personalization with respect metacognitive styles. In order address that...

This study focuses on supporting information systems security in the early phase of development. Modeling languages have commonly been used by software developers during designing systems. As an extension Unified Language (UML) activity diagrams, Mal-Activity Diagrams (MAD) also to model malicious and risk mitigation processes. Despite its crucial role, MAD undergoes syntactic semantic drawback which makes Meta Model not being able support key features core framework, system management...

Optimal learning environment highly depends on aptitude treatment interaction.Even though ICT (Information and Communication Technologies) advancement supports knowledge sharing platforms including e-learning multimedia, designing of content in such relies the interaction to sustain a learner-centric environment.However, achieving optimal platform is still challenge due variation learner's skills abilities both process content.This makes difficulties monitoring cognition states quality...

E-learning platforms have emerged and played a crucial role in knowledge sharing dissemination of information at large. However, an optimal acquisition e-learning is still challenge due to poor interactive learning environment. To address that challenge, this study correlation between visual spatial attention, learners' motivation states long-term memory during process has been investigated through cognition detection based on their metacognitive experiences by using electroencephalogram...

Nowadays, man-in-the-middle (MITM) attacks have become a large problem due to the advancement of computational power and interactive mobile technologies. Message security is crucial concern that ought be managed in order help protect vital data from unauthorized people, such as MITM. Steganography technique hiding secret within an ordinary, non-secret file or message avoid detection when communicating through unsecured network. applications play role various fields involve classified...

As intelligent systems demand for human–automation interaction increases, the need learners’ cognitive traits adaptation in adaptive educational hypermedia (AEHS) has dramatically increased. AEHS utilize processes to attain fair their processes. However, obtaining accurate trait process been a challenge due fact that it is difficult determine what extent such can comprehend system functionalities. Hence, this study explored correlation among pupil size dilation, reading time and endogenous...

A real time communication between deaf and hearing people is still a barrier that isolates the from world. Over ninety percent of children are born to parents. However, most them can only learn how communicate using sign language at school. One reasons hearings parents have neither enough nor support their children. Not surprisingly, finds difficulties in oral-only education. Since many other pupils do not even know about existence language, they cannot directly with without interpreter....

This paper comprehensively assesses the application of active learning strategies to enhance natural language processing-based optical character recognition (OCR) models for image-to-LaTeX conversion. It addresses existing limitations OCR and proposes innovative practices strengthen their accuracy. Key components this study include augmentation training data with LaTeX syntax constraints, integration strategies, employment feedback loops. first examines current weaknesses a particular focus...