ABSTRACT Public speaking is a challenge faced by people from all walks of life. Research in the area of public speaking has focused on examining techniques to reduce public speaking anxiety. Very little research, however, has focused on the acquisition of public speaking skills. While presenting speeches, many people engage in nervous habits that have the potential to decrease the effectiveness of the speech and their credibility as a speaker. This study evaluated the effectiveness of simplified habit reversal in reducing three of these nervous habits: filled pauses, tongue clicking, and inappropriate use of the word like. Following baseline, participants received simplified habit reversal training that consisted of awareness training and competing response training. During post-intervention assessments all 6 participants exhibited an immediate decrease in all three target behaviors.

This study used video feedback to improve the horseback riding skills of advanced beginner riders. The study focused on three skill sets, those used in jumping over obstacles, dressage riding on the flat, and jumping position riding on the flat. Baseline consisted of standard lesson procedures. Intervention consisted of video feedback in which a recorded attempt at the target behaviors was immediately shown to the rider and the instructor. The rider and instructor reviewed the video while the instructor delivered feedback. Target behaviors were scored according to checklists that correspond to each skill. For all participants, video feedback increased their correct riding skills.

Accidental poisonings are one of the leading safety threats for young children, so it is important to teach children to avoid ingesting poisonous substances. Research has shown that behavioral skills training (BST) and in situ training (IST) are effective in teaching children safety skills to prevent gun play, abduction, and poison ingestion. However, little research on safety skills has been conducted with children with autism. Video modeling has been shown to be effective in teaching abduction prevention skills to children diagnosed with Autism Spectrum Disorder (ASD). The purpose of this study was to evaluate the effectiveness of video modeling to teach four children diagnosed with ASD to avoid poison hazards. Results showed that video modeling was not effective for any of the participants, but that IST was effective for three participants while the fourth participant required an additional incentive. Three of the four participants maintained the safety skills for 1-, 3-, and 5-week follow up assessments. Keywords: children, safety threats, safety skills, poison, and behavioral skills training, in-situ training, video modeling

Disruptive behavior within classrooms is a major concern for teachers and parents. Positive Behavior Interventions and Supports (PBIS) provides a multi-tiered framework for schools to provide supports to students, which are matched to each student's needs. Whereas most students are successful with the school-wide supports provided to all students, approximately 20% of students are likely to require additional supports. Group contingencies have an established basis of support as effective Tier 2 interventions; however, these contingencies vary in a variety of dimensions that may influence their efficacy and acceptability. The purpose of this study was to evaluate the relative impact of four different group contingency types (independent, interdependent, dependent, and randomized) on class-wide appropriate and disruptive student behaviors as well as how implementation of a teacher's preferred contingency may enhance student behavioral outcomes. Three general education teachers and their students participated in the study. All four group contingency types resulted in reduced disruption and increased appropriate behavior across all three classrooms. No patterns of differentiation were observed in any classroom. Teacher preference was assessed with two teachers selecting independent and two teachers selecting dependent contingencies as their preferred reward system. Implementation of the preferred contingency resulted in further improvements in both class-wide behaviors. Some evidence of generalization and maintenance was noted in all three classrooms.

This dissertation evaluates veteran participation in the martial art of Brazilian Jiu Jitsu (BJJ) as a tool of reassimilation for veterans suffering from anxiety, stress and/or combat PTSD associated with military deployment. From the onset of Operation Iraqi Freedom, Operation Enduring Freedom and Operation New Dawn, challenges associated with U.S. Veteran assimilation and reintegration have been increasing. Coping with long term displacement, trauma, loss, and making sense of identity shifts between being an active duty service member and civilian can often present challenges when navigating back into civilian life. By utilizing a neuroanthropological lens, ethnographic inquiry, surveys, semi-structured interviews, and focus groups, this research advances anthropology’s understanding of how sport participation may have the ability to combat assimilation and mental health challenges that are a result of combative trauma exposure. I examine BJJ as a physical and mental tool for strengthening social bonds, buttressing identity formation, and easing the burden of transitioning into a civilian life after enduring time within a combative theater. This analysis is a building block for future research that will explore BJJ as an avenue of elective intervention for veterans suffering from stress and anxiety disorders associated with time in service.

Within the disabilities community, individuals with an Autism Spectrum Disorder (ASD) diagnosis consistently have some of the most detrimental employment related statistics. To address this issue, this study evaluated video modeling, an evidence-based procedure, in teaching professional emailing skills to individuals diagnosed with ASD when applying for a job. Results of the study support video modeling research as an effective teaching tool. Significant skill acquisition, in composing a professional email, occurred across all participants. Seventy-five percent of participants concluded the study at mastery level. Implications of this study are immediately impactful on the ASD community as a new evidence-based transition tool can be made readily available. If individuals use this tool to acquire the professional emailing skill, then it will add to their job-seeking skillset and may increase their likelihood of achieving gainful employment. Keywords: autism, employment, transition, video modeling, professional emailing

The relationship between alcohol consumption and traumatic brain injury (TBI) often focuses on alcohol consumption increasing the likelihood of incurring a TBI, rather than alcohol use outcomes after TBI. This focus is in part due to the large numbers of TBI patients visiting emergency rooms notable levels of alcohol in their blood. Additionally, increases in alcohol use disorders following TBI can be predicted by previous history of alcohol use. However, studies have also shown patients without a history of an alcohol use disorder can experience increases in problem drinking after single or multiple TBIs. Due to the diffuse impact of alcohol consumption and mild TBI on the brain, it is likely that an interaction exists between TBI outcomes and problematic alcohol use after TBI. To examine the impact of mild repetitive TBI (rmTBI) on voluntary alcohol consumption, male mice were subjected to four mild TBI or sham procedures over a two week period, then offered ethanol (20% v/v) for 2, 4, 6 or 8 weeks using the two-bottle choice, drinking in the dark paradigm. Following the drinking period, mice were sacrificed and brains were extracted to examine expression of the pro-inflammatory cytokine TNF-α, a possible shared mechanism of neuronal damage. An additional cohort of mice was subjected to the same rmTBI and voluntary ethanol paradigm and tested for cognitive and behavioral deficits following the set drinking period. Results indicate there is a temporary decrease in ethanol consumption following rmTBIs compared to Sham mice in this model. Results also suggest an attenuated expression of TNF-α in rmTBI, ethanol drinking groups compared to ethanol exposed mice after the Sham procedure. The outcomes of the cognitive and behavioral tasks suggest that ethanol consumption after rmTBI can cause transient cognitive dysfunction and increased novelty preference.

Approximately 1.8% of students in the public school system have an intellectual disability or Autism Spectrum Disorder. These disabilities cause impairment in multiple domains of functioning. If these students also have challenging behaviors, such as noncompliance, aggression, and stereotypies, these behaviors have been found to cause impairment over and beyond those of the core symptoms associated with the disability. Challenging behaviors in youth with developmental disabilities do not typically subside on their own and need intervention. Thankfully, there are evidence-based behavioral interventions for individuals with developmental disabilities to reduce challenging behaviors and increase more functional behaviors including Applied Behavioral Analysis, Functional Behavioral Analysis, and School-Wide Positive Behavioral Support and Interventions (SWPBIS). There has been much research and positive effects found on the effectiveness of behavioral interventions for individuals with developmental disabilities, and there have been numerous meta-analyses conducted to synthesize these results. However, there have been only a few meta-analyses examining the effectiveness of school-based behavioral interventions for youth with developmental disabilities. A gap in the literature exists in understanding the effectiveness of behavioral interventions in schools from a SWPBIS perspective for youth with developmental disabilities. There also is a need to examine a wider range of dates and to examine the use of parametric statistical metrics. The current study addressed these issues by conducting a meta-analysis of single-case design studies over approximately the past 20 years to add to the current understanding of the effect of school-based behavioral interventions on behavioral outcomes of youth with developmental disabilities. Additionally, moderator analyses were conducted on numerous participant, intervention, and study characteristics that have been deemed important in the literature. The effect size of behavioral interventions on youths’ behavioral outcomes was determined through the use of a parametric statistical method, hierarchical linear modeling. The effect size was found to be large for a single case design synthesis of 3.31 and there were two moderating effects located, one being the type of classroom a participant was educated in and the other the type of specific outcome studied. The current study is important for decision makers in schools in terms of deciding on the specifics of behavioral interventions for youth with an intellectual disability. Additionally, the results of the study may be pertinent to other practitioners who work with youth is schools and their caregivers so that they can utilize school-based interventions to help increase the presentation of appropriate behaviors and reduction of challenging behaviors.

Classification of emotions plays a very important role in affective computing and has real-world applications in fields as diverse as entertainment, medical, defense, retail, and education. These applications include video games, virtual reality, pain recognition, lie detection, classification of Autistic Spectrum Disorder (ASD), analysis of stress levels, and determining attention levels. This vast range of applications motivated us to study automatic emotion recognition which can be done by using facial expression, speech, and physiological data. A person’s physiological signals such are heart rate, and blood pressure are deeply linked with their emotional states and can be used to identify a variety of emotions; however, they are less frequently explored for emotion recognition compared to audiovisual signals such as facial expression and voice. In this thesis, we investigate a multimodal approach to emotion recognition using physiological signals by showing how these signals can be combined and used to accurately identify a wide range of emotions such as happiness, sadness, and pain. We use the deep convolutional neural network for our experiments. We also detail comparisons between gender-specific models of emotion. Our investigation makes use of deep convolutional neural networks, which are the latest state of the art in supervised learning, on two publicly available databases, namely DEAP and BP4D+. We achieved an average emotion recognition accuracy of 98.89\% on BP4D+ and on DEAP it is 86.09\% for valence, 90.61\% for arousal, 90.48\% for liking and 90.95\% for dominance. We also compare our results to the current state of the art, showing the superior performance of our method.

Instructional design and delivery may be one tool available to teachers to increase the academic and social behaviors of all students in the classroom. Effective instruction is an evidence-based teaching strategy that can be used to efficiently educate our youth across all learning environments. One effective instructional strategy includes increasing students’ opportunities to respond to instructor-posed questions during lectures. Students may respond to questions using a response card system as a way to promote active engagement. This study examined the most common form of instructor-posed questions presented during lecture, recall and recognition questions, to determine the differential effects on students’ academic and participation behavior in a college classroom. Results found no differentiation in students’ academic behavior with respect to question type. Students’ participation behavior was greater when the instructor used class wide active responding procedures than observed in baseline conditions that represented typical college instruction.