Papers by Author: Noor Ibrahim Mohammad

Abstract: This paper focuses on the design and development of a game-based learning application for Thai Language. The main objective of this project is to encourage and support the process of learning Thai among young children who use Thai as their second language. It comes about to expose the young children to the web technology while they learn from the lessons and play the games which is the mechanism to deliver the educational content.

Abstract: The rapid growth of mobile phone technologies encourages many researchers to explore, design and develop mobile learning applications for tertiary students. In computer science related disciplines, students always find computer science concepts as complex, abstract, and esoteric subject. Hence, we have seen the number of students enrolled for computer science related programs has decreased lately. Current delivery methods for computer science concepts are found not to be interesting to the students. This project focuses on the design and development of an AVL tree learning object for tertiary students by utilizing current mobile phone features such as mobility, multimedia capability and connectivity. Our approach is to incorporate video clips in presenting the algorithm systematically. With this mobile learning application, student could learn at his or her own pace, anywhere anytime. This application intends to complement the current traditional classroom and e-learning systems. Initial testing has shown that a well-presented video clip of AVL tree concept that delivered through mobile phone has a great potential to promote and enhance learning process.

Abstract: This paper presents the empirical results from experiment on speed-accuracy trade-off in ‘drag and drop’ movements. Although the previous work has modeled a theorem, framework and achievement, but some researcher focused only on the system error. In this paper, we design an analysis mechanism with the software that could behave as actual computer in producing error (system bug). This study aims at investigating the user anticipation in multiple modalities in relation to users’ performance. The multiple modalities represent four feedbacks; default, audio, text and visual that integrate with error enforcement forcing error with certain percentage to simulate system error and actual computer behavior. The finding shows the average means of 4.0667 for feedback modality of which, we conclude that the users anticipate with feedback modality can reacts to improve their performance in movement mechanism.