e-learning
F. Fadaei; H. Kalantari Dehaghi; M. Abdollahzadeh Rafi
Abstract
Background and Objectives: Helping children with learning disabilities in the first years of school by using attractive, technological, and accessible solutions is essential to overcome these problems in many situations, such as the pandemic of Covid-19 to help educators in the achievement of their goals. ...
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Background and Objectives: Helping children with learning disabilities in the first years of school by using attractive, technological, and accessible solutions is essential to overcome these problems in many situations, such as the pandemic of Covid-19 to help educators in the achievement of their goals. Therefore, the purpose of this study was to investigate the effect of consecutive letter presentation, using a computer-based method on the improvement of the reading ability of dyslexic elementary students.Methods: The research method is quantitative, within the framework of single-subject research projects, and A.B.A.B or Reversal Design. The population of the present study consisted of dyslexic students of Arak city who were studying in the academic year of 2019-2020. Six individuals (2 girls and 4 boys) were purposefully selected from this population. The research instruments were a researcher-made vocabulary checklist, Shirazi and Nilipour Reading Test (2004), Soleimani Phonological Awareness Test (2000) and Fast Naming Test. The research tool was researcher-made software prepared by Microsoft PowerPoint program and run in the final format of Adobe Captivate program in which the words were displayed and pronounced letter by letter, syllable by syllable and finally completely to the student. The research intervention lasted 4 weeks. In the first and third weeks, only the word reading test was administered every day. In the second and fourth weeks, the same tested words in the previous week were taught and exercised. Also, at the end of each week, the phonology test was repeated in the fifth session. Tests of fluency and accuracy of reading texts, phonological awareness, and rapid naming were also administered as pre/post-test before and after the intervention. The results were analyzed, using SPSS software and Wilcoxon and Friedman statistical tests.Findings: The findings showed that the use of computer-based method of presenting consecutive letters can improve the accuracy of reading words separately, as well as the accuracy and fluidity of reading the text; and the student will be able to read in a shorter time and with fewer errors. Also, this method showed significant and upward progress in the phonological awareness of dyslexic students during the intervention. It was also found that after using this method, students did the task of naming the colors with greater speed and fewer errors; indicating that this method had a significant positive effect on information processing speed.Conclusion: The intervention performed in this study, using the available software such as PowerPoint, was able to prove acceptable effectiveness in improving dyslexic students' reading skills, phonological awareness, and information processing speed. Predicting the budget and expert work force to produce content, or teaching the teachers how to prepare and use such programs can be on the agenda of primary educational centers. Also, research on more samples can increase the generalizability of the results.
Modern Educational Approaches
F. Rezaee; Rahil Hosseini; Mahdi Mazinani
Abstract
Background and Objective Learning disability is a neurological disorder. Simply, learning disabilities result from a person's misunderstanding of the brain. Children with learning disabilities are more accurate and intelligent than their peers, but they may have difficulty in reading, writing, pronouncing, ...
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Background and Objective Learning disability is a neurological disorder. Simply, learning disabilities result from a person's misunderstanding of the brain. Children with learning disabilities are more accurate and intelligent than their peers, but they may have difficulty in reading, writing, pronouncing, concentrating, reasoning, recalling, or organizing information. Reading is the most basic and essential tool of education. Because by acquiring this skill, one will be able to acquire the necessary information in the affairs of life. The advancement of science in the present century is so rapid that reading is one of the most important tools for understanding today's world. One can learn the results of others' research and studies in a short period of time. Reading is a complex process that involves many different components. Learning disability is very common in childhood. The most important disability is reading disorder which is related to reading skills. Among the skills a student learns in school, reading is especially important. Meanwhile, there are students in higher grades whose reading progress is significantly lower than the standard level compared to their calendar age. This research represents a hybrid scoring model using genetic algorithm and fuzzy set theory to manage uncertainty in diagnosis of reading disability. Methods: For this, fuzzy classification models were applied for diagnosis of the reading disability. In the fuzzy system, the knowledge was extracted from a group of experts who were teachers and specialists. In the proposed model, the knowledge of experts was automatically extracted using the learning process of the Genetic algorithm. A dataset of 260 girl students was collected from the Marefat High school in the Alborz province in the years of 1394 and 1395. The performance of the proposed model was investigated using the ROC curve analysis. Findings: The results show efficiency of the fuzzy classification model was increased to 98.51% after the rule learning with the Genetic algorithm. The proposed fuzzy classifier models uncertainty in the knowledge of expert to improve students’ progress. Conclusion: The results of this algorithm show that compared to several other methods, the fuzzy-genetic combination method performs better than other methods. The results of the performance characteristic curve also prove this. Comparing the efficiency of the system and its analysis using ROC shows that fuzzy classification system is able to identify reading disorders with high reliability. In the future, we can adjust the parameters of the membership functions and also use other meta-algorithms to improve the method. The prevalence of learning disabilities, especially reading in students, indicates the need to use strategies to reduce this disorder to prevent students' academic pathology. Another limitation of this study is the impossibility of examining the relationship between reading disorder and important variables such as parents’ education level and socio-economic status. It is suggested that these limitations be considered in future studies.
Educational computer games
Z. Nevisi; M.E. Shiri; B. Minaei
Abstract
Background and Objectives:The ability to read is one of the abilities effective in quality of life. From among the children with normal intelligence and more, dyslexic students have a significant lack of readability due to their age and their ability to intelligence. In any planning and designing a treatment ...
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Background and Objectives:The ability to read is one of the abilities effective in quality of life. From among the children with normal intelligence and more, dyslexic students have a significant lack of readability due to their age and their ability to intelligence. In any planning and designing a treatment plan for these people, diagnosis is a necessary first step. Early and timely recognition of this disorder is essential to prevent the negative consequences of impairment. Method and Materials: The tool that is used for data gathering is an intelligent computer game that designed and developed during this study. In this study, we looked for a method for predicting dyslexia that is not read-based, so that treatment with dyslexia can be initiated before they begin to teach. The purpose of this study was to develop an intelligent diagnostic system in the form of a computer game based on artificial intelligent and supervised machine learning to predict dyslexia based on the cognitive differences of dyslexic children with other children. Games can provide a less stressful or a stress-free way for the children so that the child do not even realize that it is being measured. The intelligent diagnostic system was trained with the help of thirty students. Findings: The results of the study on performance of this intelligent system showed that the provided computer game has the ability to predict dyslexia with a probability higher than 97%. Conclusion: In this study, a smart computer game is presented that has the ability to predict dyslexia in children. This system uses to predict a cognitive difference between resuscitated and dyslexic children. The high accuracy of the system in diagnosis shows that dyslexia can be predicted by relying on cognitive differences and this prediction can be done at younger ages and before providing reading instruction to children. In this case, it is possible to prevent the various negative effects of dyslexia on the child, family and society by timely intervention. This method is presented in the form of a computer game, and the advantage of games is that games can provide a way with little or no stress and interesting for the child so that the child does not even realize that he is being tested. The next advantage is the availability of games.
