Subsequently, there exist various kinds of screening tools for learning disabilities but most of these screening tools only restricted to static binary output, less attractive, stressful, boring, and time consuming which lead to incomplete activities and unfulfilled objectives. In addition, most of them only targeted on dyslexia, dyscalculia and autism. This preliminary study aims to identify current automated screening tools tailoring for learning disabilities domain. It is guided by several important steps starting from the selection from multiple digital databases (information sources), categorization (study selection), comparison (search and data selection) and summarization of appropriate literature reviews, leading towards a more thorough analysis. Findings indicate that there are various kinds of screening tools available in the market with such different techniques and methods, majorly are interactive and attractive multimedia approaches and artificial intelligence approaches. Thus, the findings are beneficial in the enhancement of future works towards screening and diagnosis in learning disabilities.