A study of computer-based learning model for students with dyslexia

Dyslexia is one of the most common Specific Learning Difficulties (SpLDs) in the world. Students with dyslexia have poor fluency in reading, writing, spelling, speech, short-term memory, and also other related disorders. In addition emotion is recognised as important as the cognitive difficulty that affects dyslexia learning. Students with dyslexia often suffer emotions like frustration and low self-esteem due to lack of achievement. As a result, they may develop behaviour difficulty or perceive by others as misbehaviours. In order to address the dyslexia learning difficulties several computer-based learning models have been introduced. The computer-based learning model found to be interesting, user-friendly, attractive and supportive. In this paper, we present a study of computer-based learning model to support dyslexia students. The work is crucial to provide a basis for developing a computer-based learning model that addresses dyslexia language-based learning difficulties that considers both student's cognitive and emotion. In addition, the study also explores the uses of machine learning (ML) approach to improve effectiveness of the learning process

An improvement of interactive priorization technique for requirements interdependency in prioritization process

Requirement Prioritization (RP) was introduced as a solution to the project with huge number of requirements by eliminating some of the requirements based on fair judgement in terms of priority value or rank made by expertise or stakeholder or both parties depending on the technique's specific operation. Along with the RP concept, there is another concept that must be deeply understood, which is Requirement Interdependencies (RI), which describes the interdependencies of requirements with each other. However, not many RP techniques involve the RI element during the RP process, citing complexity as the key reason for this, even though the RI element plays a critical role in determining the most important requirement for improving the project success rate. This paper describes the propose technique, which improves the RP process while considering the RI element. Two conventional RP techniques, Three level-Scale and Rank Ordering. Each RP technique plays an important part in producing high accuracy results while improving the impact of RI element during the RP process

An improvement of Interactive Prioritization Technique for Requirements Interdependency in prioritization process

Requirement Prioritization (RP) was introduced as a solution to the project with huge number of requirements by eliminating some of the requirements based on fair judgement in terms of priority value or rank made by expertise or stakeholder or both parties depending on the technique's specific operation. Along with the RP concept, there is another concept that must be deeply understood, which is Requirement Interdependencies (RI), which describes the interdependencies of requirements with each other. However, not many RP techniques involve the RI element during the RP process, citing complexity as the key reason for this, even though the RI element plays a critical role in determining the most important requirement for improving the project success rate. This paper describes the proposed technique, which improves the RP process while considering the RI element. Two conventional RP techniques, Three-level Scale and Rank Ordering. Each RP technique plays an important part in producing high accuracy results while improving the impact of RI element during the RP process

Cognitive-behaviour intervention in developing an adaptive learning model for students with dyslexia

Cognitive-Behaviour Intervention (CBI) is designed as a suitable intervention for students by identifying cognitive as well as behaviour conditions. Through CBI, the students' learning goals are easier to establish, and the skills related to particular conditions can be developed. Current dyslexia’s learning interventions were mostly developed to tackle cognitive or behaviour conditions separately. Whereas, the students with dyslexia suffer from cognitive deficiencies as well as behaviour challenges, both the conditions are interrelatedly. As a result, students with dyslexia reportedly underperform, lazy, ignorance and stupid due to the inappropriate learning style. In addition, there are very limited works that allow for adaptability in addressing the dynamic states of the student's learning process such as engagement. A study has shown that students’ engagement could be a predictor of good academic performance. Therefore, in this paper, we present the approach to combine both cognitive and behaviour conditions of the students with dyslexia as well as the intervention in our proposed adaptive learning model. The cognitive model senses the student’s difficulties through exercise given while the behaviour model utilises the machine learning model to address the engagement states of the students. Finally, the model intervene by praising effort, hints and changing activity based on the student’s state. The results showed that a promising new way to assists students with dyslexia in their learning

Development of the game-based pre-screening test for students with dyslexia

The conventional approach to screening dyslexia occurrence in Malaysia includes identifying issues by parents or teachers on their childrens performance in spelling, reading, writing, and mathematical understanding. One of the mediums is using the checklist instrument for dyslexia (ISD) developed by the Ministry of Education (MoE) Malaysia under the Special Education Department. It is the first step in identifying children who may have dyslexia. However, the screening needs to be conducted through a written test using paper and pencil. It requires the children to sit and answer the test in an exam setting. This makes the children feel stressed, being judged and monitored for the whole session. The operation of ISD also requires experienced teachers and it becomes difficult if he/she is a new teacher and has not been exposed to identifying dyslexia. Therefore, this project suggesting to overcome the problems through a “Game-Based Dyslexia Pre-Screening Test" which screened the children with or without dyslexia by answering a few questions derived from the ISD and Malay language textbooks standards 1 to 3 while the children played a game. This application allows children to play while going through the test with more fun and enjoyment, and increases their interest to play without knowing they are being assessed. In this project, interviews and surveys were conducted with teachers and parents at the beginning of the project. Design and development of the game include Unity, Visual Studio, and several other applications that were used to produce this project. Finally, evaluation using the Software Usability Scale (SUS) and observation of 30 students showed positive feedback. All of them liked playing the games, and they were engaged in playing the game which was assessed using times taken. This game can be a pre-screening approach to evaluate the students without making the students depressed or feeling different from their peers

Digital campus

Mobile is everywhere, changing the way we work, play, socialize, and learn. Students nowadays are immersed in a digital culture driven by mobile consumer experiences across a range of devices, from wearable to phones, tablets and virtual-reality platforms. Digital Campus is a website application that is in University Tun Hussien Onn Pagoh Campus. The purpose of this website is to search all locations located in Pagoh Campus such as laboratory, admin office, dean office, cafe and classroom. Digital campus website is embedded with Open Street Map. It is open databased licensing and it is a collaborative mapping. This website is developed using Joomla 3.8.13 with PHP version, 5.6.25. There are 204 locations were plotted using this link https://digitalcampus.uthm.edu.my/index.php. Digital campus based on Open Street Map can helps students, admin staff, lectures and visitors to find location in very easy way by using digital platform. Thus, this application facilities can optimization of administration work and promote university management to higher performances

Effects of protein from different sources on the characteristics of sponge cakes, rice cakes (apam), doughnuts and frying batters

Sponge cakes containing total substitution of whole egg with egg yolk had the largest volume, best texture, highest moisture, colour and flavour compared with all other cakes. Cakes made with total substitution of other proteins had smaller volumes than the control, while those made with egg white had the lowest moisture. Cakes made with whey powder had the tenderest texture. Doughnuts made with protein other than gluten had reduced oil absorption compared with the control. Doughnuts containing whey or skimmed milk had the most desirable flavour; this may be attributed to the presence of lactose. Gluten doughnuts were most disliked because of their hard texture and pale colour. Doughnuts made with total substitution of whole egg with egg white had good texture and low oil absorption. Skimmed milk powder was best for the expansion and texture of chemically leavened rice cakes (apam), while egg white produced the best expansion for yeast-leavened rice cakes, compared with the other proteins studied. The protein that produced the most desirable textures in yeast-leavened rice cakes in order of merit were skimmed milk powder, egg white and egg yolk. Whey, skimmed milk powder and gluten helped improve the crispiness of frying batters. Ovalbumin did not affect the crispiness but significantly reduced the oil absorption of the frying batters. Addition of proteins other than whey and ovalbumin, increased the oil absorption of frying batters

Exploring design guidelines of tangible interaction in learning for children with dyslexia

Tangible Interaction (TI) has shown many benefits in various situations for it provides more direct manipulations and haptic feedback. In addition, TI also provide a more enjoyable learning environment. Despite active research in TI, there is limited research on design learning, particularly associated with the TI for children with dyslexia. Current approaches are found to still depend on traditional multisensory teaching materials. However, some literatures argued that the use of traditional multisensory teaching materials used in the current teaching technique is less attractive, lack sense, offer no feedback such as sound and only rely heavily on the teacher. A preliminary study was conducted to understand better how TI works for children with dyslexia. The study is conducted by the research team using a semi-structured interview and observations with teachers who teach dyslexic children. In this paper, an investigation of the teaching materials and learning approaches used in the Dyslexia Association of Malaysia (DAM) learning centre to support children with dyslexia were studied and analysed. Finally, design guidelines are constructed and proposed based on the data obtained from the study conducted. The design guidelines will be adopted to develop a tangible interaction between the learning model and its prototype for children with dyslexia

Kebergantungan gelembung plasma khatulistiwa dan arus tentangan elektrojet di sektor barat Asia Tenggara

At night, region near the equator were often disturbed by the presence of large scale wave structural known as the equatorial plasma bubble (EPB). Various studies have been carried out to find for the parameter that can control the formation of EPB including their relationship within the strength of the equatorial electrojet (EEJ) current. However, the EEJ current were often detected to reverse the direction to westward and manifests a depression in plot of H versus time in dip equator. This EEJ current reversal phenomenon is referred as counter electrojet (CEJ) current. Hence, this study was conducted to determine the dependency between EPBs and evening CEJ current in the western sector of Southeast Asian. The presence of CEJ currents have been analyzed by using EUEL index which were calculated fom the northern component of geomagnetic data from ground magnetometer station, Magnetic Data Acquisition System (MAGDAS). A single station approached at the equator and two station pairs were applied in this study to ensure accuracy of the electrojet data. The ground magnetometer stations involved were Langkawi (LKW) at Malaysia and Kototabang (KTB) at Indonesia. Additionally, this study also utilized data from the high-density Global Positioning System (GPS) receiver network in Southeast Asia to track the presence of EPB widely. In the end, the results showed that the higher the negativity value of the EUEL index (nT), the weaker the EPB structure were formed