Learning computer programming is a good way to develop Computational Thinking, but many students assumed that computer programming is a complicated subject, which leads toward their disinterest in computer science. We believe that this assumption can be overcome if the students were introduced to the concept of programming earlier during preschool years. The best programming method for children to learn programming is the tangible programming method but current Malaysian preschool syllabus does not contain a framework for preschoolers to learn tangible programming. This paper introduces the developmentally-appropriate Learn Programming Framework (LPF) for preschoolers to learn programming concepts. The structured syllabus in LPF involves a series of controlled-play activities to be used with the novel tangible board game. Once the framework has been successfully implemented, extensive evaluation of LPF will be done to test its effectiveness in teaching children about programming.

Tuberculosis is an infectious disease caused by a bacillus called Mycobacterium tuberculosis. It can lead to death in untreated and inappropriately treated patients. An early diagnosis of the disease not only improves treatment success but also reduces death rates. Lung region is the most affected part of Tuberculosis and the process of medical image classification is still carried out manually using the knowledge of the physician or radiologist, which leads to inaccurate and slow process of TB identification. Therefore, this study proposed to enhance tuberculosis detection using a different combination of machine learning and image processing methods on the image dataset.