A conceptual framework for analyzing critical cactors of PDS learning experience and PDE employment experience

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Brac University

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Abstract

This study aims to examine the relationship and status of education and employment for people with disabilities in Bangladesh. The study employs a mixed-methods approach, including a survey of people with disabilities to grasp their educational and employment situations. The purpose of this study investigation is to explore the factors impacting students and employees with disabilities in Bangladesh. The questionnaire consisted of a mix of numerical, categorical, and multiple-choice questions. This paper adopts multiple data science approaches to measure the reliability between survey items. Seven factors under three dimensions for students with disabilities (PDS) and eight factors under three dimensions for employees with disabilities (PDE) were examined to analyze the influence of their learning and employment experiences. A total of 208 responses were collected from students and employees, and 200 valid responses were retained after data cleaning. Necessary data pre-processing was applied. From the findings, eight factors influencing the learning experiences of students and employment experiences of employees were identified. Finally, the analysis results are presented in the form of suggestions for developing inclusive learning and employment opportunities for individuals with disabilities in Bangladesh. The survey reveals key obstacles for people with disabilities in Bangladesh, including accessibility issues, inadequate accommodations, negative attitudes, and undervaluation in education and employment. It underscores the urgent need for inclusive policies and more research to support their education and employment. The study highlights the requirement for diverse and more effective research methods to comprehend and provide support for individuals with disabilities in Bangladesh.

Description

Cataloged from the PDF version of the thesis.
Includes bibliographical references (pages 54-56).
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2023.

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Thesis