A PRELIMINARY SURVEY ON AUTOMATED SCREENING TOOLS TOWARDS LEARNING DISABILITIES <s> Issues Constraints <s> The paper is focused on the application of new generation of ICT in education of children of pre-school and elementary school age. The necessity to use new specific pedagogical approaches and methodology is presented. The conception of ICT environment for e-learning based on IMS NGN architecture including the IPTV subsystem, as well as the specific interfaces including voice controlled human-computer communication/interaction is discussed in the paper. <s> BIB001 </s> A PRELIMINARY SURVEY ON AUTOMATED SCREENING TOOLS TOWARDS LEARNING DISABILITIES <s> Issues Constraints <s> Innovative educational technologies have started to open new ways of interacting with students with special educational needs (SEN). Amongst the most effective approaches during the last decade (2001-2010) are those based on Artificial Intelligence (A.I.) techniques. The effective application of A.I. methods is seen as a means of improving the quality of life of SEN learners. Hence, a need for introducing A.I. techniques arises in order to develop both diagnosis and intervention processes. This paper presents a brief overview of the most representative studies of the past ten years, used for the above purposes. <s> BIB002 </s> A PRELIMINARY SURVEY ON AUTOMATED SCREENING TOOLS TOWARDS LEARNING DISABILITIES <s> Issues Constraints <s> The endeavor of this work is to support the special education community in their quest to be with the mainstream. The initial segment of the paper gives an exhaustive study of the different mechanisms of diagnosing learning disability. After diagnosis of learning disability the further classification of learning disability that is dyslexia, dysgraphia or dyscalculia are fuzzy. Hence the paper proposes a model based on Fuzzy Expert System which enables the classification of learning disability into its various types. This expert system facilitates in simulating conditions which are otherwise imprecisely defined. <s> BIB003 </s> A PRELIMINARY SURVEY ON AUTOMATED SCREENING TOOLS TOWARDS LEARNING DISABILITIES <s> Issues Constraints <s> Knowledge is mainly divided into two parts explicit and tacit. There are several studies which talk about explicit knowledge, but actually few studies talk about tacit knowledge. Tacit knowledge is an important issue which needs more exploration so authors are recently focusing on. The nature of tacit knowledge makes acquiring and extracting tacit knowledge not an easy task since it is complicated in its nature. As a result this research talks about tacit knowledge. Also authors explain main characteristics of tacit knowledge. Authors think that this research is worth reading because it covers and analyzes most relevant research which talks about tacit knowledge. More over it develops guidelines for acquiring and extracting tacit knowledge. This developed Guideline can be used for almost large organizations with a little adaptation related to job nature of the organizations. Finally, applying our guideline will facilitate acquiring tacit knowledge without wasting a huge amount of cost or effort. <s> BIB004 </s> A PRELIMINARY SURVEY ON AUTOMATED SCREENING TOOLS TOWARDS LEARNING DISABILITIES <s> Issues Constraints <s> The heart is a key organ of the human system which pumps and circulates blood throughout the body. Its failure to perform thesefunctions often leads to total breakdown of the entire body system and in most cases results in death. In several countries of theworld, significant numbers of heart failure patients are being reported dead due to inaccurate and untimely diagnosis. Recently,expert system approach, which is anchored on Information Technology, has emerged as a strong tool for solving this problem.This paper reports on the development of aWeb and Fuzzy Logic-based Expert System for the diagnosis of heart failure disease.The proposed system consists of a Knowledge Base (which is made up of a Database), a Fuzzy Logic component, a FuzzyInference Engine and a Decision Support Engine which comprises of cognitive and emotional filter as well as Tele-medicinefacilities. The system was implemented using Hypertext Preprocessor (PHP), JavaScript and Hypertext Mark-up Language(HTML) with My Structured Query Language (MySQL) as the Database Management System. Performance analysis based ondata on selected heart failure patients and survey of some experts on heart failure disease at the State Specialist Hospital, Akure,Nigeria shows satisfactory performances of the system. <s> BIB005
No global method for learning disabilities detection.  Current works only focus on diagnosing the problem (having or not having) which is a static binary output BIB003 .  Most of the screening tools are too limited to only one type of learning disabilities, less attractive, stressful, boring, time consuming and long duration to be completed -lead to incomplete activities and unfulfilled objectives  , BIB001 .  There are works that can correctly classify learning disabilities (dyslexia, dyscalculia, and dysgraphia), but no intervention included. Conventional method for screening and diagnosis tailoring learning disabilities.  Screening and diagnosis in most schools in Malaysia are performed manually (paper-based approach)  .  Human factors (sickness, tiredness, fatigue, stress, lack of interest, emotional conditions), and other jobs nature and environmental factors can lead to high possibility of incorrect screening and diagnosis in a timely manner  BIB005 .  Lack of the offered artificial intelligence intervention tools and nationally regulated standards of its diagnostic methods BIB002 .  Difficulty to access screening and diagnosis services especially for rural and underserved areas. The lack of knowledge acquisition and dissemination.  A traditional or conventional programs or systems are built both by a mixture of knowledge and the control structure to process this knowledge, thus leading to difficulties in understanding and reviewing the program code  .  Extracting and eliciting expert's knowledge is often incomplete with some defectives and often rationalize, depending on the expert nature, expert knowledge, and other factors BIB004 .  The domain expertise can be extremely busy, can retire, or leave the company for a host of different reasons.  The data acquisition only involves the special educators, parents, and doctors, but the core of learning disabilities which is the student itself is neglected.  Hard to search since the data and information are bunched up together.  Ambiguities and uncertainties (uncertain information) and irrelevant and superfluous variables lead to decrease in diagnosis process time and increase in accuracy.  The maintenance of knowledge base requires an amount of time to keep updating. Other militating factors.  Inadequate number of domain expertise, incomplete and inaccurate screening, wrong decisions, limited memory capability, low retention of information, untimely recall of accurate information, and insecure patient records BIB005 .