As Malaysia moves with the changing times, the country need to improve its productivity by enhancing education quality of the citizens which will provide skilled workers of the highest calibre. There is an urgent need for higher institution to prepare students with various practical skills expected upon them from the industries.This paper discuss an on going research project that aimed to develop statistical learning module based on industrial practices. Our main objective is to investigate gaps between workplaces needs and formal statistical methods taught at tertiary level. Data were obtained from eight case studies carried out at three different types of industries; manufacturings, productions and services. The finding suggested that our undergraduate’s curriculum sufficiently addressed the basic quantitative skills required by the industries. However undergraduates employability could be furthur enhanced by addressing other intellectual characteristics greatly valued by industries which include problem solving and communication skills. In the second phase of the project web system learning modules are developed. The login identification web system containing dynamic HTML pages are generated using PHP programming language that bridged MySQL database and the contents displayed. This project indicates that collaborations between University and industries offers valuable opportunities and insight towards improvement of undergraduates learning quality and hence workplace preparation.
|Keywords:||Statistics Applications, Learning, Industry-Academia Collaboration, Web System|
Lecturer, Faculty Technology and Quantitative Science, University Technology MARA, Machang, Kelantan, Malaysia
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