875 resultados para Learning disabled children.


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Children of parents with learning difficulties (LD) are at risk for a variety of developmental problems including behavioural and psychiatric disorders. However, there are no empirically supported programs to prevent behavioural and psychiatric problems in these children. The purpose of the study was to test the effectiveness of a parenting intervention designed to teach parents with learning difficulties positive child behaviour management strategies. A multiple baseline across skills design was used with two parents, who were taught three skills: 1) clear instructions, 2) recognition of compliance and 3) correction of noncompliance. Training scores improved on each skill and maintained at a 1-month follow-up. Scores on generalization cards were high and showed maintenance, but improvements in parenting skills in the naturalistic environment were low at posttest and follow-up. Increases were seen in child compliance at posttest and 1-month follow-up. Results of pre-post social validity measures were also generally positive.

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This project is aligned with examining the role of the education system and the foster care context on the learning experiences of young children in the classroom. This project is a study of the literature and research conducted on the life experiences, adverse effects of these experiences (such as attachment disorder), socioemotional development, and resiliency of foster care children. Furthermore, the project explores the literature on how the experiences of these foster children traverse contexts and impact the education setting. This study also outlines specific strategies and practices for teachers and school staff in order to promote students’ resiliency, competency, behaviour management, and overall educational success and positive academic experience. These strategies resulted from a critical review of the literature and translated into the development of an informative handbook intended for teachers. The handbook developed in this study focuses on the understanding of the lives of foster care children, their histories, adverse experiences, socioemotional development, strategies to manage behaviour, unique needs, and encouraging their resiliency and success in school. To ensure the soundness of the handbook, 2 education liaisons at a Family and Child Services agency within Ontario and a former child and service social worker from Manitoba reviewed the first draft and provided comments on the validity of the content and the potential usability of the handbook for educators. Suggestions and comments provided by these experts were used to enhance the final product of the handbook.

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Abstract The main focus of this qualitative research was to explore how parents from different national backgrounds see their role in their childrens education inside and outside of school. Although greater recruitment was described and sought after, this qualitative research gathered data from two immigrant female parents from a community parents’ group located in Ontario, Canada. Data were collected through face-to-face interviews with each participant using open-ended questions asking about the different ways these mothers, along with their spouses, were involved in their childrens education. Moreover, questions were designed to find out what alternatives parents use to support their childrens learning. The main question driving this research was “How are immigrant families currently involved with their childrens education inside and outside of school?” NVivo, 10 was used to code the transcripts giving rise to themes which could then be utilized to explain and explore the research question. The findings of this research are congruent with past research and demonstrate that immigrant mothers are more involved than the fathers are in their childrens education (Grolnick & Slowiaczek 1994; Peters, Seeds, Goldstein, & Coleman, 2008). A specifically important finding in this research is that schools are perceived by the immigrant mothers in this study as not doing enough to actively engage immigrant parents in their childrens education. On the other hand, findings also show that parents are eager to find different avenues to get involved and help their children succeed.

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In 2012 a community-based agency that oversees Intensive Behaviour Intervention services for young children diagnosed with Autism Spectrum Disorder (ASD) began delivering newly developed curricula to parents of eligible children. The curricula’s intent was to inform parents about ASD and Applied Behaviour Analysis, to increase their awareness of available community resources, and assist them to be active and engaged in their child’s learning. This mixed-method study used a program-specific survey and focus groups to explore the perspectives parents had on their involvement in these education sessions. Through constant comparison analysis 4 major and 3 minor themes emerged. In general, parents acknowledged that this parent education program included relevant content and a favourable delivery format. The study summarized a number of well-articulated, practical suggestions parents provided. Implications for practice would be applicable to educators interested in providing quality group-based education to parents of young children with ASD.

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Page 1. ICT Tools for Teaching & Learning G Santhosh Kumar Cochin University Page 2. Agenda • What is ICT? • Why integrate ICT in Education? • What are the Challenges? • What are the good resources? Page 3. Questions # “Despite the increasing use of ICT, the need for teachers is as great as ever” # “Placing ICT in schools will automatically improve the quality of education that children receive” #”The Internet is unsafe for children to use because there is so much dangerous material available on it” Page 4. What is ICT? • ICT is short for ..

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The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age children. LDs affect about 10 percent of all children enrolled in schools. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Decision trees and clustering are powerful and popular tools used for classification and prediction in Data mining. Different rules extracted from the decision tree are used for prediction of learning disabilities. Clustering is the assignment of a set of observations into subsets, called clusters, which are useful in finding the different signs and symptoms (attributes) present in the LD affected child. In this paper, J48 algorithm is used for constructing the decision tree and K-means algorithm is used for creating the clusters. By applying these classification techniques, LD in any child can be identified

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Learning disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 10% of children enrolled in schools. There is no cure for learning disabilities and they are lifelong. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Just as there are many different types of LDs, there are a variety of tests that may be done to pinpoint the problem The information gained from an evaluation is crucial for finding out how the parents and the school authorities can provide the best possible learning environment for child. This paper proposes a new approach in artificial neural network (ANN) for identifying LD in children at early stages so as to solve the problems faced by them and to get the benefits to the students, their parents and school authorities. In this study, we propose a closest fit algorithm data preprocessing with ANN classification to handle missing attribute values. This algorithm imputes the missing values in the preprocessing stage. Ignoring of missing attribute values is a common trend in all classifying algorithms. But, in this paper, we use an algorithm in a systematic approach for classification, which gives a satisfactory result in the prediction of LD. It acts as a tool for predicting the LD accurately, and good information of the child is made available to the concerned

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Learning Disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 15 % of children enrolled in schools. The prediction of LD is a vital and intricate job. The aim of this paper is to design an effective and powerful tool, using the two intelligent methods viz., Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System, for measuring the percentage of LD that affected in school-age children. In this study, we are proposing some soft computing methods in data preprocessing for improving the accuracy of the tool as well as the classifier. The data preprocessing is performed through Principal Component Analysis for attribute reduction and closest fit algorithm is used for imputing missing values. The main idea in developing the LD prediction tool is not only to predict the LD present in children but also to measure its percentage along with its class like low or minor or major. The system is implemented in Mathworks Software MatLab 7.10. The results obtained from this study have illustrated that the designed prediction system or tool is capable of measuring the LD effectively

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Protecting the quality of children growth and development becomes a supreme qualification for the betterment of a nation. Double burden child malnutrition is emerging worldwide which might have a strong influence to the quality of child brain development and could not be paid-off on later life. Milk places a notable portion during the infancy and childhood. Thus, the deep insight on milk consumption pattern might explain the phenomenon of double burden child malnutrition correlated to the cognitive impairments. Objective: Current study is intended (1) to examine the current face of Indonesian double burden child malnutrition: a case study in Bogor, West Java, Indonesia, (2) to investigate the association of this phenomenon with child brain development, and (3) to examine the contribution of socioeconomic status and milk consumption on this phenomenon so that able to formulate some possible solutions to encounter this problem. Design: A cross-sectional study using a structured coded questionnaire was conducted among 387 children age 5-6 years old and their parents from 8 areas in Bogor, West-Java, Indonesia on November 2012 to December 2013, to record some socioeconomic status, anthropometric measurements, and history of breast feeding. Diet and probability of milk intake was assessed by two 24 h dietary recalls and food frequency questionnaire (FFQ). Usual daily milk intake was calculated using Multiple Source Method (MSM). Some brain development indicators (IQ, EQ, learning, and memory ability) using Projective Multi-phase Orientation method was also executed to learn the correlation between double burden child malnutrition and some brain development indicator. Results and conclusions: A small picture of child double burden malnutrition is shown in Bogor, West Java, Indonesia, where prevalence of Severe Acute Malnutrition (SAM) is 27.1%, Moderate Acute Malnutrition (MAM) is 24.9%, and overnutrition is 7.7%. This phenomenon proves to impair the child brain development. The malnourished children, both under- and over- nourished children have significantly (P-value<0.05) lower memory ability compared to the normal children (memory score, N; SAM = 45.2, 60; MAM = 48.5, 61; overweight = 48.4, 43; obesity = 47.9, 60; normal = 52.4, 163). The plausible reasons behind these evidences are the lack of nutrient intake during the sprout growth period on undernourished children or increasing adiposity on overnourished children might influence the growth of hippocampus area which responsible to the memory ability. Either undernutrition or overnutrition, the preventive action on this problem is preferable to avoid ongoing cognitive performance loss of the next generation. Some possible solutions for this phenomenon are promoting breast feeding initiation and exclusive breast feeding practices for infants, supporting the consumption of a normal portion of milk (250 to 500 ml per day) for children, and breaking the chain of poverty by socioeconomic improvement. And, the national food security becomes the fundamental point for the betterment of the next. In the global context, the causes of under- and over- nutrition have to be opposed through integrated and systemic approaches for a better quality of the next generation of human beings.

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The educational software and computer assisted learning has been used in schools to promote the interest of students in new ways of thinking and learning so it can be useful in the reading learning process. Experimental studies performed in preschool and school age population have shown a better yield and a positive effect in reading, mathematics and cognitive skills in children who use educative software for fi fteen to twenty minutes a day periods. The goal of this study was to evaluate the progression in verbal, visual-motor integration and reading skills in children who were using educational software to compare them with a group in traditional pedagogic methodology. Results: All children were evaluated before using any kind of pedagogic approach. Initial evaluation revealed a lower–age score in all applied test. 11% of them were at high risk for learning disorders. There was a second evaluation that showed a significant positive change compared with the fi rst one. Nevertheless, despite some items, there were no general differences comparing the groups according if they were using or not a computer. In conclusion, policies on using educational software and computers must be revaluated due to the fact that children in our public schools come from a deprived environment with a lack of opportunities to use technologies.

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This study characterizes the differences and similarities in the repertoire of social skills of children from 12 different categories of special educational needs: autism, hearing impairment, mild intellectual disabilities, moderate intellectual disabilities, visual impairment, phonological disorder, learning disabilities, giftedness and talent, externalizing behavior problems, internalizing behavior problems, internalizing and externalizing behavior problems and attention deficit hyperactivity disorder. Teachers of 120 students in regular and special schools, aged between 6 and 14 years old, from four Brazilian states, responded to the Social Skills Rating System. Children with ADHD, autism, internalizing and externalizing behavior problems and externalizing behavior problems presented comparatively lower frequency of social skills. The intervention needs of each evaluated category are discussed.

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Manual diseñado para ayudar a los profesores de primaria a identificar en los niños sus conceptos erróneos en matemáticas. Considera tres perspectivas diferentes: el nivel del plan de estudios, el nivel del aula y el nivel de cada alumno. La comprensión de cómo los niños construyen su conocimiento matemático y los errores que cometen, permite identificar y explicar por qué ocurre el error. También permite adelantarse a conceptos erróneos habituales y a planificar las lecciones. Tiene un índice con referencias cruzadas para el programa nacional británico.

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This paper presents an experimental Receptive-Expressive Multi-Modal Learning Program of Patterned Language Practice for hearing-impaired children.

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Access to thesis is restricted. Contact Archives and Rare Books. This paper discusses children who have special learning problems.

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This paper reviews a study that was done with hearing and hearing impaired children to test the effectiveness of self-instructional programs and whether the results can be correlated with Educational Quotient and Intelligence Quotient.