Conventional or the automation of computer-based screening and diagnosis is part of the methods that can assist to identify and detect these problematic students. However, several limitation or constraints have been identified leading towards the design and development of an innovative rapid web-oriented knowledge-based expert systems for predictive classification of five main types of specific learning disabilities namely dyslexia, dysgraphia, dyscalculia, dyspraxia and Attention Deficit Disorder/Attention Deficit Hyperactivity Disorder (ADD/ADHD). The result is displayed in a graphical form (chart and table) to make ease of understanding. This study is beneficial for parents, special education teachers, organizations and researchers by providing an alternative to the exclusion of redundant test and time saving for early screening of specific learning disabilities.

Education either formal or informal plays an important role to help the masses to acquire the necessary knowledge and skills. Teachers training programs have to be periodically reviewed and revamped (if necessary) to help produce competent teachers who are excellent in content, pedagogical and technological knowledge. Studies shown that such training is lacking due to several barriers (administration, organization, communication and self-related), drawbacks and challenges which are faced by pre-service teachers in their teaching practice during practicum in actual classrooms. It also elaborates the various importance technologies notably Web 2.0 that can be implemented to help improve the current teaching practice in coping with the teaching demands in the classroom. With proper technology integration, learning can take place more efficiently and effectively, ultimately lead to better nation building.