An experiment to show the comparative values of teaching by the lecture, question and answer, and socialized methods

Not available.Avery D. GabbardNot ListedNot ListedMaster of ScienceDepartment Not ListedCunningham Memorial Library, Terre Haute, Indiana State University.isua-thesis-1950-gabbard_aMastersTitle from document title page. Document formatted into pages: contains 77p. : ill. Includes appendix and bibliography

Usability Evaluation in Virtual Environments: Classification and Comparison of Methods

Virtual environments (VEs) are a relatively new type of human-computer interface in which users perceive and act in a three-dimensional world. The designers of such systems cannot rely solely on design guidelines for traditional two-dimensional interfaces, so usability evaluation is crucial for VEs. We present an overview of VE usability evaluation. First, we discuss some of the issues that differentiate VE usability evaluation from evaluation of traditional user interfaces such as GUIs. We also present a review of VE evaluation methods currently in use, and discuss a simple classification space for VE usability evaluation methods. This classification space provides a structured means for comparing evaluation methods according to three key characteristics: involvement of representative users, context of evaluation, and types of results produced. To illustrate these concepts, we compare two existing evaluation approaches: testbed evaluation [Bowman, Johnson, & Hodges, 1999], and sequential evaluation [Gabbard, Hix, & Swan, 1999]. We conclude by presenting novel ways to effectively link these two approaches to VE usability evaluation

Matching matched filtering with deep networks in gravitational-wave astronomy

We report on the construction of a deep convolutional neural network that can reproduce the sensitivity of a matched-filtering search for binary black hole gravitational-wave signals. The standard method for the detection of well modeled transient gravitational-wave signals is matched filtering. However, the computational cost of such searches in low latency will grow dramatically as the low frequency sensitivity of gravitational-wave detectors improves. Convolutional neural networks provide a highly computationally efficient method for signal identification in which the majority of calculations are performed prior to data taking during a training process. We use only whitened time series of measured gravitational-wave strain as an input, and we train and test on simulated binary black hole signals in synthetic Gaussian noise representative of Advanced LIGO sensitivity. We show that our network can classify signal from noise with a performance that emulates that of match filtering applied to the same datasets when considering the sensitivity defined by Reciever-Operator characteristics.Comment: 5 pages, 3 figures, submitted to PR

Outreach and Engagement in Thailand

For the past two years I have been fortunate to have been invited to give seminars and workshops at Rajabhat Maha Sarakham University located in the city of Maha Sarakham in northeast Thailand. The northeast of Thailand is often referred to as the Isan area because the culture and the people were heavily influenced by the Lao people. The area is drier than other parts of Thailand, and the economy of the Isan area and Maha Sarakham province are largely agricultural. However, the city of Maha Sarakham is the center of education for the Isan area. Besides being home to Rajabhat Maha Sarakham University, it also features Maha Sarakham University, a large comprehensive university, and several smaller colleges and institutes. The population of Maha Sarakham doubles when all the universities, colleges, and institutes are in session

Null Element Restoration

Understanding the syntactic structure of a sentence is a necessary preliminary to understanding its semantics and therefore for many practical applications. The field of natural language processing has achieved a high degree of accuracy in parsing, at least in English. However, the syntactic structures produced by the most commonly used parsers are less detailed than those structures found in the treebanks the parsers were trained on. In particular, these parsers typically lack the null elements used to indicate wh-movement, control, and other phenomena. This thesis presents a system for inserting these null elements into parse trees in English. It then examines the problem in Arabic, which motivates a second, joint- inference system which has improved performance on English as well. Finally, it examines the application of information derived from the Google Web 1T corpus as a way of reducing certain data sparsity issues related to wh-movement

Development of a Weighted Application Blank for the Carryout Clerk Classification in a Large Retail Organization

The purpose of this study was to develop and validate a Weighted Application Blank to predict turnover for use as a selection tool for a large retail organization. Utilizing the England (1971) procedure, it was hypothesized that significant derivation and cross-validities would be obtained. The hypothesis was partially supported: the derivation validity coefficient was significant (r = .28, p \u3c .01) and the resulting cross-validity coefficient was net significant (r = 19, p \u3c .05). The results and recommendations for implementation of the WAB are discussed

Closing the Gap: A Course Design to Prevent Social Media Mishaps in the Clinical Setting

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Stacy Gabbard on April 8, 202

Illustrating with type : a typographic exploration of nursery rhymes.

"Developments in visual communication are progressively affecting the way audiences receive and process information. In today's image-dominated environment we seek quick references to aid our interpretation of information presented. Despite technological advancements, literary content meant for adult readers has suffered from a lack of adequate attention devoted to the layout. This lack of attention can be traced back to two factors, the reduction of visual teaching as a learning tool as a child ages and the limitations of the early printing presses. This study hypothesizes that the communicative potential of literary texts produced for adults can be enhanced using innovative typographic treatments that are now achieved more easily due to technological advancements and developments in graphic design, allowing an engaging experience that attracts immediate attention and can easily be understood. To test the hypothesis, five books were designed by typographically exploring the capacity of text to appear as images. These books explain nursery rhyme narratives, establishing the relationship between the familiar content and unfamiliar origins of the chosen nursery rhymes."--Abstract.