Natural history collections house immense amounts of data, but the majority of data is only accessible by locating the collection label, which is usually attached to the physical specimen. This method of data retrieval is time consuming and can be very damaging to fragile specimens. Digitizing the collections is the one way to reduce the time and potential damage related to finding the collection objects. The Elm Fork Natural Heritage Museum is a natural history museum located at the University of North Texas and contains collections of both vertebrate and invertebrate taxa, as well as plants. This project designed a collection digitization workflow for Elm Fork by working through digitizing the Benjamin B. Harris Herbarium. The collection was cataloged in Specify 6, a database program designed for natural history collection management. By working through one of the museum’s collections, the project was able to identify and address challenges related to digitizing the museum’s holdings in order to create robust workflows. The project also produced a series of documents explaining common processes in Specify and a data management plan.

The purpose of the study was to explore faculty attitudes towards institutional repositories in order to better understand their research habits and preferences. A better understanding of faculty needs and attitudes will enable academic libraries to improve institutional repository services and policies. A phenomenological approach was used to interview fourteen participants and conduct eight observations to determine how tenure-track faculty want to disseminate their research as well as their attitudes towards sharing research data. Interviews were transcribed and coded into emerging themes. Participants reported that they want their research to be read, used, and to have an impact. While almost all faculty see institutional repositories as something that would be useful for increasing the impact and accessibility of their research, they would consider publishers’ rights before depositing work in a repository. Researchers with quantitative data, and researchers in the humanities are more likely to share data than with qualitative or mixed data, which is more open to interpretation and inference. Senior faculty members are more likely than junior faculty members to be concerned about the context of their research data. Junior faculty members’ perception’ of requirements for tenure will inhibit their inclination to publish in open access journals, or share …

With increasing emphasis on technology in schools, the importance of technology policies is great. This study investigated policies for four 1:1 secondary schools in Texas (schools with a ratio of one computing device per student), particularly with respect to the relationship of those policies to practice. The purpose of the study was to determine the current status of the National Education Technology Standards (NETS) essential conditions as reflected in policy and the relationship of those conditions to practice as measured through levels of technology usage and teaching innovation. Schools were selected through purposive, criterion sampling. Open-ended interviews were conducted with twelve participants (principals, technology directors, and superintendents). Policies were rated by campus principals and the researcher using a rubric based on the NETS essential conditions. Finally, surveys of proficiency and readiness measures were collected from 156 teachers using the School Technology and Readiness (STaR) instrument and the Levels of Teaching Innovation (LoTI) instrument. Interviews were transcribed and coded using structural and frequency coding. Policies were analyzed using magnitude coding and policy ratings. A qualitative analysis determined patterns between policy and practice. Quantitative data collected from surveys were measured against policy ratings and magnitude coding using bivariate correlation methods in SPSS. …

This study was aimed at understanding the use of technology in early childhood school and home settings as well as its impact on students' social and language development, specifically with children aged four to seven from two schools (Kindergarten and elementary) in Kuwait. The study followed a qualitative design in which the interpretative approach was applied. Non-participant observations were conducted to gather data concerning the actual use of technology in the classrooms, they were followed by interviews with teachers and a group of parents from each classroom. The study used Vygotsky's social development theory as a framework for the analysis of data. The analysis showed limitations in the use of technology in the classroom; teachers identified a need for training to increase their knowledge about how to integrate technology into instruction. Also, the limited availability of up-to-date technology was viewed as a challenge. Teachers and parents agreed that the use of technology may foster social and language development for most students, on the condition that their use is supervised and guided by an adult. However, they also perceived that technology could have a negative impact on the development of students' social development, an area that requires further investigation.

This study examined the impact of the National Science Foundation's Research Experience for Teachers (RET) in engineering at University of North Texas on students after their teachers' participation in the program. Students were evaluated in terms of self-efficacy, knowledge of engineering, perceptions of engineering, and interest in engineering. A 22-item Likert pre/post survey was used for analysis, and participants included 589 students from six high schools, one middle school, and one magnet school. Paired surveys were analyzed to determine if there was a statistically significant difference in attitudes and knowledge after teachers implemented lessons from their time at the RET. Surveys were also analyzed to determine if there was a statistically significant difference in student response based on gender or student school type. Results showed no statistically significant difference in the self-efficacy of students, however there was a statistically significant difference in knowledge, perceptions, and interest in engineering. In addition, there was a statistically significant difference between genders on an isolated question, and seven out of the 22 Likert questions showed a statistically significant difference between student school types.