The effects of a family-based educational intervention on the prevention of lead poisoning in children

The effects of lead exposure may endure through one's lifetime and can negatively effect educational performance. While the link between the cause and effects of lead poisoning has been identified, the application of lead health education as the mechanism of disease prevention has not. The purpose of this study was to examine whether caregiver participation in a family-based educational intervention can result in decreased lead exposure in low socioeconomic children. ^ Participants (n = 50) were caregivers of children 12 to 36 months of age. They were randomly selected from an urban clinic and randomly assigned to either a treatment or control group. The experimental design of this study involved two clinic visits. Parents in the treatment group were given the educational intervention during the first clinic visit while those in the control group were given the intervention during the second clinic visit. The intervention was reinforced with a lead education brochure coupled with a video on childhood lead poisoning. One instrument was used to test parental knowledge of lead poisoning both pre- and post-intervention. Blood lead levels in pediatric participants were tested using two blood lead screens approximately three to four months apart determined by well-child check-up schedules. ^ Findings from the analysis of variance showed the interaction between the change in blood lead level between the children's first and second clinic visits and the treatment level. This demonstrated a significant interaction between the differences of first and second clinic visits blood lead levels and the presence or absence of the educational intervention. ^ The findings from an analysis of covariance support that caregivers in the treatment group have significantly higher scores on the second clinic visit scores on the CLKT than the caregivers in the control group. These data suggest that the educational treatment is effective in increasing the knowledge of caregivers about the dangers of lead poisoning and the strategies for lead poisoning prevention. ^ Conclusions indicate that the education of adult caregivers can affect blood lead levels of children, the educational treatment increased the knowledge of caregivers, caregivers were able to carry out procedures taught, and caregivers retained knowledge over time. ^

Towards a Pedagogy of Inferential Statistics in Graduate Education Programs: Insights from Cognitive and Educational Research

This study attempts to understand the nature of knowledge base that supports the ability to select statistical techniques for research situations. Findings showed that the largest component of such knowledge was related to research design. One implication is that techniques should be taught in relation to features of research design.

The Effects of a Family-Based Educational Intervention on the Prevention of Lead Poisoning in Children

Parents completed a survey measuring their knowledge of lead poisoning. Children, 24 to 36 months old received two blood lead level screens. Parents in the treatment group showed significantly higher scores on the posttest, and their children showed greater decreased blood lead levels than participants in the control group.

The effect of mentoring electronic mail on student achievement and attitudes in a graduate course in educational research

This exploratory study of a classroom with mentoring and neutral e-mail was conducted in a public commuter state university in South Florida between January 1996 and April 1996. Sixteen males and 83 females from four graduate level educational research classes participated in the study.^ Two main hypotheses were tested. Hypothesis One was that those students receiving mentoring e-mail messages would score significantly higher on an instrument measuring attitude toward educational research (ATERS) than those not receiving mentoring e-mail messages. Hypothesis Two was that those students receiving mentoring e-mail would score significantly higher on objective exams covering the educational research material than those not receiving mentoring e-mail.^ Results of factorial analyses of variance showed no significant differences between the treatment groups in achievement or in attitudes toward educational research. Introverts had lower attitudes and lower final exam grades in both groups, although introverts in the mentored group scored higher than those introverts in the neutral group.^ A t test of the means of total response to e-mail from the researcher showed a significant difference between the mentored and neutral e-mail groups. Introverts responded more often than extraverts in both groups.^ Teacher effect was significant in determining class response to e-mail messages. Responses were most frequent in the researcher's classes.^ Qualitative analyses of the e-mail and course evaluation survey and of the content of e-mail messages received by the researcher were then grouped into basic themes and discussed.^ A qualitative analysis of an e-mail and course evaluation survey revealed that students from both the neutral and mentoring e-mail groups appreciated teacher feedback. A qualitative analysis of the mentoring and neutral e-mail replies divided the responses into those pertaining to the class, such as test and research paper questions, and more personal items, such as problems in the class and personal happenings.^ At this point in time, e-mail is not a standard way of communicating in classes in the college of education at this university. As this technology tool of communication becomes more popular, it is anticipated that replications of this study will be warranted. ^

The efficacy of the Ellison model as a retention initiative for first semester freshmen

The freshman year is the most critical year of matriculation for students in higher education. One in four freshman students drops out of higher education after the first year. In fact, the first two to six weeks of college represent a very critical transition period when students make the decision to persist or depart from the institution. Many students leave because they are unable to make a connection with the institution. Retention is often profoundly affected by student involvement in the academic environment, satisfaction with the campus climate and the institution's response to diversity. Therefore, the purpose of this study was to examine and evaluate an effective institutional response that promotes freshman retention and academic success. The tenets (diversity training, conflict management, and community building) of a mentoring model were applied to the freshman experience seminar class (experimental group) as a pedagogical method of instruction to determine its efficacy as a retention initiative when compared with the traditional freshman experience seminar class (comparison group). ^ The quantitative study employed a quasi-experimental research design based on Astin's (1993) I-E-O model. The model examined the relationships between the characteristics students bring with them to college, called inputs, their experiences in the environment during college, and the outcomes students achieved during matriculation. Fifty-two students enrolled in the freshman seminar class participated in the study. ^ Demographic data and input variables between groups were analyzed using chi-square, t-tests and multivariate analyses. Overall, students in the experimental group had significantly higher satisfaction (campus climate) scores than the comparison group. An analysis of the students' willingness to interact with others from diverse groups indicated a significant difference between groups, with the experimental group scoring higher than the comparison group. Students in the experimental group were significantly more involved in campus activities than students in the comparison group. No significant differences were found between groups relative to the mean grade point average and re-enrollment for fall semester 2001. ^ While the mentoring model did not directly affect re-enrollment of students, the model did promote student satisfaction with the institution, an appreciation for diversity of contact and it encouraged involvement in the campus community. These are all essential outcomes of a quality retention program. ^

A study of teachers' espoused instructional beliefs

The purpose of this study was to investigate teachers' espoused instructional beliefs and whether they differed in relation to schools' socioeconomic status, extent of teachers' educational background, or extent of teachers' classroom experience. The study comprised a total of 242 Miami-Dade County public school educators who responded to a thirty-nine question Likert scale, Literacy Instructional Practices Questionnaire. Eighteen schools, three from each of the six regions, were purposively selected based on the socioeconomic status of students. Nine participants were interviewed using semi-standardized interview procedures and open-ended questioning techniques. ^ Multivariate Analysis of Variance (MANOVA) results revealed that teachers' espoused beliefs concerning the instruction of literacy and forces and influences affecting instruction do not significantly differ depending on schools' socioeconomic status, extent of teachers' educational background, or extent of teachers' classroom experience. The majority of teachers appear to follow a top-down generated direct instruction model. Generally, students are taught as a whole class and ability grouped for specific skill instruction utilizing commercially produced reading and language arts texts. ^ There was no evidence of a relationship between teachers' espoused beliefs concerning the model of instruction that they practice or teachers' espoused beliefs concerning research and its application to practice and the three independent variables. Interview data corroborated much of the information garnered through the questionnaire. However, interview participants espoused the belief that research did not influence their selection of instructional practices. ^ Although teachers perceive of themselves as eclectic in their espoused instructional beliefs, they appear to follow a skills based direct instruction pedagogy in practice. Much of what teachers believe constitutes effective practice, few researchers recommend, affirming the findings of Calderhead (1993) and the National Educational Research Policy and Priorities Board (U.S. Department of Education, 1998, p. 18) that “educators rarely know research, seek it out, or act in accordance with its results.” ^

An indexing structure and application model for vehicles moving on road networks

Moving objects database systems are the most challenging sub-category among Spatio-Temporal database systems. A database system that updates in real-time the location information of GPS-equipped moving vehicles has to meet even stricter requirements. Currently existing data storage models and indexing mechanisms work well only when the number of moving objects in the system is relatively small. This dissertation research aimed at the real-time tracking and history retrieval of massive numbers of vehicles moving on road networks. A total solution has been provided for the real-time update of the vehicles' location and motion information, range queries on current and history data, and prediction of vehicles' movement in the near future. ^ To achieve these goals, a new approach called Segmented Time Associated to Partitioned Space (STAPS) was first proposed in this dissertation for building and manipulating the indexing structures for moving objects databases. ^ Applying the STAPS approach, an indexing structure of associating a time interval tree to each road segment was developed for real-time database systems of vehicles moving on road networks. The indexing structure uses affordable storage to support real-time data updates and efficient query processing. The data update and query processing performance it provides is consistent without restrictions such as a time window or assuming linear moving trajectories. ^ An application system design based on distributed system architecture with centralized organization was developed to maximally support the proposed data and indexing structures. The suggested system architecture is highly scalable and flexible. Finally, based on a real-world application model of vehicles moving in region-wide, main issues on the implementation of such a system were addressed. ^

A framework for transforming, analyzing, and realizing software designs in unified modeling language

Unified Modeling Language (UML) is the most comprehensive and widely accepted object-oriented modeling language due to its multi-paradigm modeling capabilities and easy to use graphical notations, with strong international organizational support and industrial production quality tool support. However, there is a lack of precise definition of the semantics of individual UML notations as well as the relationships among multiple UML models, which often introduces incomplete and inconsistent problems for software designs in UML, especially for complex systems. Furthermore, there is a lack of methodologies to ensure a correct implementation from a given UML design. The purpose of this investigation is to verify and validate software designs in UML, and to provide dependability assurance for the realization of a UML design.^ In my research, an approach is proposed to transform UML diagrams into a semantic domain, which is a formal component-based framework. The framework I proposed consists of components and interactions through message passing, which are modeled by two-layer algebraic high-level nets and transformation rules respectively. In the transformation approach, class diagrams, state machine diagrams and activity diagrams are transformed into component models, and transformation rules are extracted from interaction diagrams. By applying transformation rules to component models, a (sub)system model of one or more scenarios can be constructed. Various techniques such as model checking, Petri net analysis techniques can be adopted to check if UML designs are complete or consistent. A new component called property parser was developed and merged into the tool SAM Parser, which realize (sub)system models automatically. The property parser generates and weaves runtime monitoring code into system implementations automatically for dependability assurance. The framework in the investigation is creative and flexible since it not only can be explored to verify and validate UML designs, but also provides an approach to build models for various scenarios. As a result of my research, several kinds of previous ignored behavioral inconsistencies can be detected.^

Power and thermal aware scheduling for real-time computing systems

Over the past few decades, we have been enjoying tremendous benefits thanks to the revolutionary advancement of computing systems, driven mainly by the remarkable semiconductor technology scaling and the increasingly complicated processor architecture. However, the exponentially increased transistor density has directly led to exponentially increased power consumption and dramatically elevated system temperature, which not only adversely impacts the system's cost, performance and reliability, but also increases the leakage and thus the overall power consumption. Today, the power and thermal issues have posed enormous challenges and threaten to slow down the continuous evolvement of computer technology. Effective power/thermal-aware design techniques are urgently demanded, at all design abstraction levels, from the circuit-level, the logic-level, to the architectural-level and the system-level. ^ In this dissertation, we present our research efforts to employ real-time scheduling techniques to solve the resource-constrained power/thermal-aware, design-optimization problems. In our research, we developed a set of simple yet accurate system-level models to capture the processor's thermal dynamic as well as the interdependency of leakage power consumption, temperature, and supply voltage. Based on these models, we investigated the fundamental principles in power/thermal-aware scheduling, and developed real-time scheduling techniques targeting at a variety of design objectives, including peak temperature minimization, overall energy reduction, and performance maximization. ^ The novelty of this work is that we integrate the cutting-edge research on power and thermal at the circuit and architectural-level into a set of accurate yet simplified system-level models, and are able to conduct system-level analysis and design based on these models. The theoretical study in this work serves as a solid foundation for the guidance of the power/thermal-aware scheduling algorithms development in practical computing systems.^

Practical dynamic thermal management on Intel desktop computer

Fueled by increasing human appetite for high computing performance, semiconductor technology has now marched into the deep sub-micron era. As transistor size keeps shrinking, more and more transistors are integrated into a single chip. This has increased tremendously the power consumption and heat generation of IC chips. The rapidly growing heat dissipation greatly increases the packaging/cooling costs, and adversely affects the performance and reliability of a computing system. In addition, it also reduces the processor's life span and may even crash the entire computing system. Therefore, dynamic thermal management (DTM) is becoming a critical problem in modern computer system design. Extensive theoretical research has been conducted to study the DTM problem. However, most of them are based on theoretically idealized assumptions or simplified models. While these models and assumptions help to greatly simplify a complex problem and make it theoretically manageable, practical computer systems and applications must deal with many practical factors and details beyond these models or assumptions. The goal of our research was to develop a test platform that can be used to validate theoretical results on DTM under well-controlled conditions, to identify the limitations of existing theoretical results, and also to develop new and practical DTM techniques. This dissertation details the background and our research efforts in this endeavor. Specifically, in our research, we first developed a customized test platform based on an Intel desktop. We then tested a number of related theoretical works and examined their limitations under the practical hardware environment. With these limitations in mind, we developed a new reactive thermal management algorithm for single-core computing systems to optimize the throughput under a peak temperature constraint. We further extended our research to a multicore platform and developed an effective proactive DTM technique for throughput maximization on multicore processor based on task migration and dynamic voltage frequency scaling technique. The significance of our research lies in the fact that our research complements the current extensive theoretical research in dealing with increasingly critical thermal problems and enabling the continuous evolution of high performance computing systems.

Urban Education Research: A Paradigm Shift

Significantly due to the institutional separation of theory and practice, the gap between academia and society continues to broaden, arguably pointing towards the failure of traditional educational research and, to an extent, the university’s neglect to authenticate alternate epistemologies and methodologies that seek to elicit mobilization, activism, and reform.

Employer participation in Florida school -to -work initiatives

This study used a cross-sectional design and descriptive research methodology to assess the characteristics and practices of employers participating in Florida school-to-work (STW) initiatives, the factors influencing their participation, and their STW partnerships with schools. The study also examined the relationships between employer characteristics and participation. ^ A sampling frame of 15,202 employers from the 28 Florida STW regions was constructed. Data were collected via a mail survey with a random sample of employers, using a researcher-designed questionnaire. Data were analyzed using descriptive statistics, correlational analysis, and analysis of variance. ^ At the 95% confidence level, it was estimated that the mean establishment size in the population is between 25 and 51 employees and that employers have been involved in STW partnerships between five and seven years. ^ The study revealed broad-based employer participation in three of four areas: Working with Students, Working with Educators, and Internal Company Practices Supporting STW. A fourth area, Building a System, showed generally low participation. Data indicate that workforce needs are important incentives to employer STW participation beyond their desire to contribute to education or the community. Data also indicate that lack of information on STW is the greatest barrier to employer participation. ^ Sample employers have more positive perceptions of the value of their partnerships with schools than of the quality of the partnerships. Ninety-four percent agreed that students are better prepared for work and careers as a result of the partnership's activities. More than half agreed that a sense of trust and good communication exist between educators and employer partners. ^ Employer variables found to have a significant, positive relationship with participation include size (coefficient of determination r2 = .116), years in STW partnerships (r2 = .128), and perceptions of partnership quality (r2 = .092) and value (r2 = .112). ^ A major conclusion based on the findings of this study is that employer participation is optimized in initiatives that achieve important STW outcomes for students and build long-term relationships between employers and schools. Another that in Florida, the STW Opportunities Act of 1994 has not resulted in substantially greater employer involvement in building a STW system. ^

A Study of Teachers' Espoused Instructional Beliefs

The purpose of this study was to investigate teachers’ espoused instructional beliefs and whether they differed in relation to schools’ socioeconomic status, extent of teachers’ educational background, or extent of teachers’ classroom experience. The study comprised a total of 242 Miami-Dade County public school educators who responded to a thirty-nine question Likert scale, Literacy Instructional Practices Questionnaire. Eighteen schools, three from each of the six regions, were purposively selected based on the socioeconomic status of students. Nine participants were interviewed using semi-standardized interview procedures and open-ended questioning techniques. Multivariate Analysis of Variance (MANOVA) results revealed that teachers’ espoused beliefs concerning the instruction of literacy and forces and influences affecting instruction do not significantly differ depending on schools’ socioeconomic status, extent of teachers’ educational background, or extent of teachers’ classroom experience. The majority of teachers appear to follow a top-down generated direct instruction model. Generally, students are taught as a whole class and ability grouped for specific skill instruction utilizing commercially produced reading and language arts texts. There was no evidence of a relationship between teachers’ espoused beliefs concerning the model of instruction that they practice or teachers’ espoused beliefs concerning research and its application to practice and the three independent variables. Interview data corroborated much of the information garnered through the questionnaire. However, interview participants espoused the belief that research did not influence their selection of instructional practices. Although teachers perceive of themselves as eclectic in their espoused instructional beliefs, they appear to follow a skills based direct instruction pedagogy in practice. Much of what teachers believe constitutes effective practice, few researchers recommend, affirming the findings of Calderhead (1993) and the National Educational Research Policy and Priorities Board (U.S. Department of Education, 1998, p. 18) that “educators rarely know research, seek it out, or act in accordance with its results.”

An Indexing Structure and Application Model for Vehicles Moving on Road Networks

Moving objects database systems are the most challenging sub-category among Spatio-Temporal database systems. A database system that updates in real-time the location information of GPS-equipped moving vehicles has to meet even stricter requirements. Currently existing data storage models and indexing mechanisms work well only when the number of moving objects in the system is relatively small. This dissertation research aimed at the real-time tracking and history retrieval of massive numbers of vehicles moving on road networks. A total solution has been provided for the real-time update of the vehicles’ location and motion information, range queries on current and history data, and prediction of vehicles’ movement in the near future. To achieve these goals, a new approach called Segmented Time Associated to Partitioned Space (STAPS) was first proposed in this dissertation for building and manipulating the indexing structures for moving objects databases. Applying the STAPS approach, an indexing structure of associating a time interval tree to each road segment was developed for real-time database systems of vehicles moving on road networks. The indexing structure uses affordable storage to support real-time data updates and efficient query processing. The data update and query processing performance it provides is consistent without restrictions such as a time window or assuming linear moving trajectories. An application system design based on distributed system architecture with centralized organization was developed to maximally support the proposed data and indexing structures. The suggested system architecture is highly scalable and flexible. Finally, based on a real-world application model of vehicles moving in region-wide, main issues on the implementation of such a system were addressed.

Application of an Education Research Lab (ERL) Model to a Community Sailing Program

This presentation showcases the application of a university-based education research lab (ERL) model to the evaluation of a community sailing program for individuals with disabilities. Presenters conceptualize the ERL model as a mutually beneficial relationship between universities and community education agencies.