Development of Knowledge Domains and an Instrument to Assess Probation Officers’ Knowledge of Offenders with Intellectual Disabilities

The purpose of this study was to develop knowledge domains and an instrument to assess probation officers’ knowledge levels of offenders with intellectual disabilities by utilizing a synthesis of subject matter analysis technique and a comprehensive review of literature. Results can be used to develop effective training for probation officers.

Supporting Students with Intellectual Disabilities in Higher Education through Mentoring

Federal legislation is now making it possible for students with Intellectual Disabilities (ID) to enroll in university programs through inclusive transition models. The need for more knowledge in the workplace, in addition to newly acquired opportunities, draws students with ID to college campuses. With this increase of student in postsecondary education settings, it is necessary to examine the types of supports needed to ensure their success. Peer mentorship has been identified as a crucial aspect of support for academic and social development. This paper identifies the skills mentors use during their sessions and outlines challenges with mentoring partnerships in postsecondary transition programs. Data analysis revealed major themes related to inclusion, self-determination, and adaptive behavior skills.

Repeated Reading Strategy for Students with Intellectual Disabilities

Repeated Reading Strategy used with Intellectually Disabled Students in order to increase reading fluency and comprehension.

Repeated Readings to Promote Fluency for Students with Intellectual Disabilities

Reading fluency is a skill that’s difficult for many students to acquire. However, research suggests that consistently implementing the Repeated Reading intervention can help students increase fluency and comprehension. The effect of this strategy when used to promote reading fluency in secondary students with severe intellectual disabilities has yet to be investigated. My research will examine the effect of the Repeated Reading intervention on the fluency level of students with intellectual disabilities in a public high school.

Optimization models for selecting bus stops for accessibility improvements for people with disabilities

Bus stops are key links in the journeys of transit patrons with disabilities. Inaccessible bus stops prevent people with disabilities from using fixed-route bus services, thus limiting their mobility. The Americans with Disabilities Act (ADA) of 1990 prescribes the minimum requirements for bus stop accessibility by riders with disabilities. Due to limited budgets, transit agencies can only select a limited number of bus stop locations for ADA improvements annually. These locations should preferably be selected such that they maximize the overall benefits to patrons with disabilities. In addition, transit agencies may also choose to implement the universal design paradigm, which involves higher design standards than current ADA requirements and can provide amenities that are useful for all riders, like shelters and lighting. Many factors can affect the decision to improve a bus stop, including rider-based aspects like the number of riders with disabilities, total ridership, customer complaints, accidents, deployment costs, as well as locational aspects like the location of employment centers, schools, shopping areas, and so on. These interlacing factors make it difficult to identify optimum improvement locations without the aid of an optimization model. This dissertation proposes two integer programming models to help identify a priority list of bus stops for accessibility improvements. The first is a binary integer programming model designed to identify bus stops that need improvements to meet the minimum ADA requirements. The second involves a multi-objective nonlinear mixed integer programming model that attempts to achieve an optimal compromise among the two accessibility design standards. Geographic Information System (GIS) techniques were used extensively to both prepare the model input and examine the model output. An analytic hierarchy process (AHP) was applied to combine all of the factors affecting the benefits to patrons with disabilities. An extensive sensitivity analysis was performed to assess the reasonableness of the model outputs in response to changes in model constraints. Based on a case study using data from Broward County Transit (BCT) in Florida, the models were found to produce a list of bus stops that upon close examination were determined to be highly logical. Compared to traditional approaches using staff experience, requests from elected officials, customer complaints, etc., these optimization models offer a more objective and efficient platform on which to make bus stop improvement suggestions.