Wan Mohd Rizhan Wan Idris

Development and innovation of multimedia courseware for teaching and learning of KAFA subjects

Nowadays, the development of technology is affecting the educational sector. Courseware is one of the approaches that can be used in teaching and learning process so that it becomes more effective and interesting. This paper demonstrates the process of development of multimedia courseware that can be used for teaching and learning of KAFA subjects. Development of the courseware is to deal with some issues that arise in teaching and learning of KAFA subjects. The courseware is developed based on selected methodology to ensure that it fulfills the teaching and learning objectives. It is integrated with multimedia elements such as graphics, audio and video to make it more attractive to be used by students in their learning process.

Online Analytical Processing Technique in Personalizing Student Academic Pattern Behavior for UniSZA Students’ Results

Business Intelligence (BI) refers to skills, processes, technologies, applications and practices used to support decision making. BI technologies provide historical, current, and predictive views of business operations which are normally used to analyze business data. Online Analytical Processing (OLAP) is one of the common BI approaches in quickly answering multidimensional analytical queries for analytical purpose. In this paper, we have proposed OLAP technique to be implemented in Academic area. Through this technique, UniSZA students’ academic pattern behaviors can be analyzed. A set of data from students’ examination results in relational DB is extracted into multi-dimensional model to support OLAP query processing. The results are grouped into several subject areas. Then, the analysis to recognize students’ academic pattern behaviors is conducted. From the analysis, the groups of students who have the excellent skills or vice versa can be identified. It also optimizes the time dimension to perform current and historical data analysis. The weaknesses and strengths of the student can also be obtained. Finally, students’ future potential areas can be predicted for the next level of educations.