Thesis (M.Ed.)--Memorial University of Newfoundland, 1999. / Bibliography: leaves 102-108.

Thesis (M Ed(Education))--University of Pretoria, 2004. / Bibliography: leaves 130-136. Available on the Internet via the World Wide Web.

Thesis (D.Phil.(Curriculum studies, Education))-University of Pretoria, 2006. / Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (Ed.D.)--University of West Florida, 2003. / Title from title page of source document. Document formatted into pages; contains 144 pages. Includes bibliographical references.

No description available.

This study analyzed the eighth grade mathematics portion of the spring 2004 Maine Educational Assessment (MEA) achievement test and the survey questions that were also administered. The analysis was on a school-wide level (n = 182). The two survey questions used were: “Which statement best describes the use of calculators in your mathematics classes?” and "Which statement best describes how you use your laptop in mathematics class: getting data from the Web, finding mathematics problems online, creating graphs?" Correlational analysis, partial correlation, and regression were used to determine if there was any association between calculator usage, laptop usage, and mathematics achievement for girls and for boys in the first state-wide group of students to have one-to-one laptops in Maine. Calculator usage was found to be positively associated with mathematics achievement for both girls (partial correlation coefficient of .189 (p = .011)) and for boys (partial correlation coefficient of .193 (p = .010)) even after controlling for school size and socio-economic status. Though no significant association between laptop usage and mathematics achievement for either girls or boys was found, this may be more a reflection on the survey question being a weak measure than the usage of laptops. In a post-hoc analysis of findings, schools were rank ordered based on the average mathematics achievement score regardless of gender; the top 25% (n = 45) and the lower 25% (n = 45) of the schools were evaluated. In the top 25%, there was no statistically significant difference between school-wide girls' and boys' mathematics achievement scores. However, in the lower 25% of the schools, there was a statistically significant difference (p = .01) between the school-wide average of girls' and boys' mathematics achievement scores, with the girls' score being 1.49 points higher (p = .01, d = .447) than the boys'. Recommendations for refinement of MEA survey questions as well as future studies are provided.

The purpose of this study was to determine whether sex differences could be observed in computer use among preschool disadvantaged children. Each of the twenty-two three- and four-year-old children were administered the Bardwell- Sietsema Sex Stereotype Scale to obtain a measure of sex role identification. Subject's choice of a pre-programming or academic-oriented software program as well as actual time at the computer were also carefully recorded over a five week period. Data supports the following: there does not appear to be a relationship between sex role stereotyping and computer use among three and four year old disadvantaged children, stereotypical sex role identification exists between three and four year old disadvantaged children, the amount of time spent at the computer during free choice periods does not differ between boys and girls, and there is no difference between boys and girls in terms of choice of academic or pre-programming software.

No description available.

In contemporary UK preschool, technological resources have become a standard feature of the environment. This has prompted widespread discussion around the appropriateness of technologies in preschools and for some time concerns were raised that technology is socially detrimental for children. These concerns have since been challenged as it has been argued that they are unsubstantiated and not evidence-based. Yet despite this realisation, few studies have been conducted about children’s social interaction around technologies in order to contribute to this debate. Furthermore, negative concerns have largely been attributed to the technological artefacts themselves and the cultural and wider preschool context is often overlooked. In the 1980s, research on the ecological preschool environment in relation to children’s social behaviours was widely available but similar studies situated in contemporary technology-rich preschool environments is limited. Thus, a body of literature to inform the technology debate in relation to social interaction is restricted. This study provides an empirical foundation to begin exploring 3 to 5 year old children’s social interactions in technology-rich local authority preschools by: identifying the observable child-child interactions as children engage with technology in preschools; exploring the preschool characteristics which may contribute to these interactions; and exploring the role that technologies play in contributing to these interactions. The study adopts an inclusive definition of technology and addresses a broad range of resources, providing a new perspective on the role of technologies in education and in relation to social interactions. These areas of interest were addressed using four qualitative methods: observation, activity mapping, researcher-led games with children and interviews with practitioners. Following the nine-month data collection phase and iterative thematic analysis, two key findings emerged from the data. Firstly, children’s social interactions during technological activities in preschool were complex and multifaceted with few discernible patterns emerging. Secondly, the wider preschool context made a large contribution to the contingent and divergent interactions observed, diluting claims that technological artefacts alone influence children’s social interactions.

Despite growing global awareness and importance of Information Communications Technologies OCT), little has been done regarding introduction of ICT in rural schools as a new way of creating path for learners and educators to engage in information selection, gathering, sorting and analysis. This study explores the status/role of ICT in rural Setlakgobi schools by examining the needs, and support for school managers, and other senior managers in managing the integration of computers and related resources into teaching and learning activities in their schools. It researches five key problematic areas, namely, understanding context, clarifying purpose, identifying values, setting goals and developing vision. The study amongst other things identifies lack of resources, language barrier, technical know how, and staff development as the main challenges of providing modern technologies to rural school in order to enhance quality of learning and teaching. Hence, the need to fast-track the e-learning by developing South African languages, providing physical and human resources, and support for professional development of educators in ICT. / Thesis (MBA)--North-West University, Mafikeng Campus, 2006.