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Home > Developemnt and Validation of Model of Aural Rehabilitation of Profound Hearing Impaired Children in Punjab- an Experimental Study

Developemnt and Validation of Model of Aural Rehabilitation of Profound Hearing Impaired Children in Punjab- an Experimental Study

Thesis Info

Access Option

External Link

Author

Noor, Hina

Program

PhD

Institute

Foundation University

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Education

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/13893/1/Hina_Noor_Education_HSR_2017_FU_ISD_19.03.2018.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724603148

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Persons with hearing loss have been seen, but the problems and frustration imposed by this loss in their lives have not been imagined. Only diagnosis of hearing loss and providing amplification is not enough to ensure the development of communication potentials of the hearing impaired children (HIC). Aural habilitation/rehabilitation services for children are the dire need of all those suffering from hearing loss, especially for those having severe and profound hearing loss. In Pakistan the rehabilitative plans merely cover speech therapy and special education services employing sign language and total communication as a medium of instruction. The efforts are not being focused on auditory development of the children, which is the base of all problems of HIC. Therefore, the researcher aimed to target this entirely neglected area of provision of aural rehabilitation services through a model in order to bring change in the lives of HIC in Pakistan. The objectives of the study were to collect data about current provisions of aural rehabilitation for hearing impaired children in Punjab, to develop a model of aural rehabilitation for deaf children in Pakistan, to develop a standardised tool to be used during experimentation and to validate the proposed model of aural rehabilitation via experimentation. The study carries immense significance from different angles in the context of the planning and management of educational cum rehabilitative plans of children with hearing loss. The model may serve as a guide to policy makers, administrators of special schools, speech therapists, teachers and parents. The design of the study was the pretest-posttest control group design. Sample groups were selected through random sampling technique. Data regarding current rehabilitation practices was obtained through questionnaires for teachers, speech therapists, audiologists, principals and parents of HIC. A framework of the proposed model was made with the help of logic model development guide and by incorporating the recommendations of the stakeholders obtained via questionnaires. Pakistani experts’ opinions were obtained through questionnaire for further modification required in the model. The model was validated through experimentation. A speech perception test was developed and its reliability and validity were established after conducting a pilot study. This test was used as the tool of experimentation i.e. to obtain the pretest and posttest scores of the HIC. The difference in mean speech perception scores of the control group and experimental group profound HIC at posttest level was significant at 0.01 level. It was concluded that aural rehabilitation is feasible as well as necessary for educational and vocational rehabilitation of HIC in Pakistan. Multidisciplinary approach in special schools to be served as preparatory schools for mainstreaming, provision of digital hearing aids from government, auditory training, integrated curriculum development, follow-up of IEP’s focusing on aural mode of communication, development of assessment tools in national and regional languages, efforts for screening and prevention of hearing loss and parental training cum involvement in planning and implementation of individual plans were considered as the necessary ingredients, to bring change in current educational cum aural rehabilitation programme of HIC in Punjab.
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۱-حروف استفہام

۱-حروف استفہام

وہ حروف جو سوال کرنے کے لیے استعمال ہوتے ہیں یہ دو ہیں:ھل اور ھمزہ

قرآن حکیم میں متعدد مقامات پر وہ مستعمل ہیں مثلاً

" أَأَمِنتُمْ مَّن فِى ٱلسَّمَآءِ أَن يَخْسِفَ بِكُمُ ٱلأَرْضَ فَإِذَا هِىَ تَمُورُ " [[1]]

"کیا تم آسمان والے (رب) سے بے خوف ہو گئے ہو کہ وہ تم پر پتھر برسانے والی ہوا بھیج دے"۔

" هَلْ فِى ذٰلِكَ قَسَمٌ لِّذِى حِجْرٍ "[[2]]

"کیا اِس میں کسی صاحب عقل کے لیے کوئی قسم ہے؟"۔



[[1]]     القرآن ،۶۷: ۱۶۔

[[2]]     القرآن ، ۸۹: ۵۔

اختلاف امت سے متعلقہ احادیث کی روشنی میں راہ حق کی تعیین: ایک تحقیقی اور تنقیدی مطالعہ

A great deal of research work has been done upon the differences present in the Muslim Umm’ah and for its dissolution. Hence, scholars like Ashari, Baghdadi, Ibn al- Hazm and Shehristani has produced great critical and analytical studies, however the sect proclaiming on “Rah-e –Haq" (the truly guided path) needs critical review. In this article, a scholarly analysis and estimation of the "Rah-e-Haq"sect (the guided ones) is being attempted in the light of the relevant traditions.

A Framework for De-Noising Digital Images Through Machine Learning

There exist many image processing methodologies while most of them do not provide accuracy when images are corrupted with Random Value Impulse Noise (RVIN). Therefore removal of RVIN from the degraded images is believed as preprocessing step in nearly all of the image processing applications. Identification and removal of RVIN from the digital gray scale images is an operational vicinity of research as the detection of RVIN is hard on various noise ratios. In this research a framework has been proposed which leads to the de-noising of RVIN from the digital gray scale images. The detection of noisy pixels provides significant basis for the de-noising process. This proposed framework consists of two main stages. First stage introduces four statistics based features to illustrate the characteristics of the noisy and noise free pixels in the digital image and the Support Vector Machine classifier used to classify the noisy and noise free pixels. In the second stage, modified version of the LPG-PCA algorithm is used for the de-noising of the noisy pixels while preserving the local image structure. The accuracy of this proposed methodology has been compared with the peak-signal-to-noise ratio (PSNR), a well-known performance measure. Simulation results show that the proposed filters provide better accuracy and performance of de-nosing the random value impulse noise in most of the situations.