The purpose of this study was to explore the relationships between and among various demographic and test score data with American College Testing (ACT) scores in 281 Tennessee high schools. This study also addressed which high school characteristics were related to the number of students meeting the ACT requirement for Tennessee lottery scholarships. In addition, this study examined Tennessee Value Added Assessment System's (TVAAS) assessment of ACT scores and its distribution of grades to Tennessee's high schools based upon its Value-Added analysis. The researcher performed correlations and multivariable linear regressions using socioeconomic status, ethnicity, dropout rate, graduation rate, attendance, average daily membership, per-pupil expenditure, teacher salary, Gateway exams, English I scores, and math foundations scores as independent variables and ACT scores as the dependent variable. The strengths of the correlations were examined and the best combination of independent variables was used to predict future ACT scores. Schools were divided into quartiles, based upon average daily membership and attendance rates, in order to analyze the differences in r2 values among the quartiles when running regressions to predict ACT scores. Quartiles, based upon the percentage of students qualifying for free/reduced meals, ethnicity, and average daily membership were used to study the difference in TVAAS' grade distribution based upon its assessment of ACT scores. The findings indicated that English I and II scores are most strongly associated with ACT composite scores including the four ACT subtests: math, English, reading, and science. English scores were found to be more strongly associated with ACT math scores than Algebra I scores and more strongly associated with ACT science scores than biology scores. It was found that the 21 composite ACT score requirements of Tennessee's lottery scholarships predominantly favored Caucasian students who did not qualify for free/reduced-priced meals. It was also discovered that TVAAS' ACT grades were unevenly distributed when schools were divided into quartiles based upon the percentage of students qualifying for free/reduced-priced meals, ethnicity, and average daily membership. Only one school in the quartile containing the schools with the highest percentage of students qualifying for free/reduced-priced meals scored above the state's average gain in the reading section of the ACT test.

The purpose of this study was to determine whether Tennessee Comprehensive Assessment Program (TCAP) Achievement reading scores, school district per-pupil expenditures, school size, percentage of students qualifying for free and reduced-priced meals, and attendance were related to science TCAP test scores from the 2007-2008 school year. The data were gathered from an analysis of mean standardized test scores in reading and science of 8th graders in 67 school systems comprising 181 schools located throughout Tennessee. One hundred eighty-one schools configured grades 6 through 8 were used in this study. Only 177 schools had reported attendance available on the Tennessee Department of Education website. Pearson correlations were performed between the 8th mean grade science TCAP scores and 8th grade mean reading scores, per-pupil expenditure, school size, attendance, and the percentage of students qualifying for free and reduced-priced meals. Independent-samples t tests were conducted to evaluate whether 8th grade mean science TCAP scores and 8th grade mean reading scores varied depending on whether the school per-pupil expenditure was above or below the state average of $8,345. Independent-samples t test were also conducted to evaluate whether 8th grade mean science TCAP scores and 8th grade mean reading scores varied depending on whether the school attendance percentage was above or below the state goal of 93%. The school characteristic with the strongest association with the mean 8th grade science TCAP scores as computed by Pearson's correlation is the mean 8th grade reading TCAP scores. The values can be ranked as follows: mean 8th grade reading scores (.92) > percentage of students qualifying for free and reduced meals (-.84) > per-pupil expenditure (-.62) > attendance (.60) > school size (.23).

The mobility of low-income students who do not have access to stable housing creates numerous challenges both at home and in school. Among these challenges, academic performance certainly is one of the most important. The lack of a more permanent, familiar, and safe environment is presumed to impact home life as well as students' performance in the classroom. This research compares two groups of current and former students of Orange County Public Schools (OCPS) in Florida (1) children of families who are Habitat for Humanity (HFH) homeowners, and (2) a matched socioeconomic control group. The HFH program is designed to provide a stable, affordable housing for families who cannot acquire it through standard means. The research question is: Does stability in housing make an impact on academic performance in the particular area of FCAT scores and attendance? Data were gathered from OCPS and the HFH homeowners themselves. This data were used to evaluate the impact of HFH homeownership on students' academic environment. Results showed better attendance at school, but HFH students fared worse in FCAT performance when compared to control group especially in reading.

<p dir="ltr">Open-source intelligence is utilized to identify individuals and compare changes in social media profiles and content. The proliferation of social media platforms and apps has facilitated the creation, distribution, and consumption of material related to human trafficking. Social media and internet service providers are not obligated to monitor users for trafficking-related activities or content. </p><p dir="ltr">However, an increase in minors joining social media leads to a rise in predatory activity. With the escalation of predatory behavior, research can focus on communication patterns, grooming, and victim profiles targeted by criminals. Technology has been developed to identify biometric points, aiding the identification of victims and criminals. Open-source intelligence is just one step toward gathering information about victims and criminals. It can be utilized throughout the investigative process to prevent human trafficking and related crimes.</p><p dir="ltr">This research employs open-source intelligence to provide investigators, law enforcement, and government agencies with preventative solutions for this global issue. The study focuses on extracting, collecting, and analyzing social media and OSINT, specifically social media intelligence (SOCMINT). Classification patterns were identified, and suspicious behavior indicative of human trafficking was detected using the JAPAN principle approach, reducing information overload. <br><br>Additionally, the research introduced a standardized investigation framework based on gathered data. This framework demonstrated the effectiveness of selected SOCMINT tools in enhancing human trafficking investigations. The study emphasizes the need for adaptive tools in SOCMINT, complemented by innovative approaches, to strengthen law enforcement efforts in deterring human trafficking. </p>

This study sought to uncover how the annual Florida School Report Card influences secondary English Language Arts (ELA) teachers’ self-efficacy and perceptions of student writing. The study’s findings suggested that ELA teachers’ self-efficacy may be indirectly influenced by the School Report Card. The participants in this study suggested that they do not feel totally capable of applying the information learned from the School Report Card to their own classrooms. The teachers who participated in the study also reported that they have low outcome expectations when interacting with the School Report Card. They do not believe that their actions can influence the School Report Card, and suggested that they see the school grade as a moving target with changing rules they may not be able to keep up with. The School Report Card was not suggested to directly impact the participants’ perceptions of student writing. Instead, the data suggested that a variety of internal and external factors influence the way teachers perceive their students’ writing quality. Finally, most of the participants suggested that they view the school grade as an unfair measure of achievement, and a tool that does not take into account the quality of the learning in the school and represents the school poorly. Cultural Historical Activity Theory (CHAT) was used to situate these findings and gain a better understanding of how the School Report Card functions as a tool for teachers and administrators.

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Although many colleges and universities use a wide range of criteria to evaluate and select admissions applicants, much of the variance in college student success remains unexplained. Thus, success in college, as defined by academic performance and student retention, may be related to other variables or combinations of variables beyond those traditionally used in college admissions (high school grade point average and standardized test scores). The current study investigated the predictive validity of a measure of motivational-developmental dimensions as a predictor of the academic achievement and persistence of college students as measured by cumulative undergraduate grade point average and retention. These dimensions are based on social-cognitive (self-concept, self-set goals, causal attributions, and coping strategies) and developmental-constructivist (self-awareness and self-authorship) perspectives. Motivational-developmental constructs are under-explored in terms of the predictive potential derived from their use in evaluating admission applicants’ ability to succeed and persevere despite the academic and social challenges presented by postsecondary participation. Therefore, the current study aimed to generate new understandings to benefit the participating institution and other institutions of higher education that seek new methodologies for evaluating and selecting college admission applicants. This dissertation describes two studies conducted at a large, urban public university located in the Northeastern United States. Participants included 10,149 undergraduate students who enrolled as first-time freshmen for the Fall 2015 (Study 1) and Fall 2016 (Study 2) semesters. Prior to matriculation, participants applied for admission using one of two methods: standard admissions or test-optional admissions. Standard admission applicants submitted standardized test scores (e.g., SAT) whereas test-optional applicants responded to four short-answer essay questions, each of which measured a subset of the motivational-developmental dimensions examined in the current study. Trained readers evaluated the essays to produce a “test-optional essay rating score,” which served as the primary predictor variable in the current study. Quantitative analyses were conducted to investigate the predictive validity of the “test-optional essay rating score” and its relationship to cumulative undergraduate grade point average and retention, which served as the outcome variables in the current study. The results revealed statistically significant group differences between test-optional applicants and standard applicants. Test-optional admission applicants are more likely to be female, of lower socioeconomic status, and ethnic minorities as compared to standard admission applicants. Given these group differences, Pearson product-moment correlation coefficients were computed to determine whether the test-optional essay rating score differentially predicted success across racial and gender subgroups. There was inconclusive evidence regarding whether the test-optional essay rating score differentially predicts cumulative undergraduate grade point average and retention across student subgroups. The results revealed a weak correlation between the test-optional essay rating score and cumulative undergraduate grade point average (Study 1: r = .11, p &lt; .01; Study 2: r = .07, p &lt; .05) and retention (Study 1: r = .08, p &lt; .05; Study 2: r = .10, p &lt; .01), particularly in comparison to the relationship between these outcome variables and the criteria most commonly considered in college admissions (high school grade point average, SAT Verbal, SAT Quantitative, and SAT Writing). Despite these findings, the test-optional essay rating score contributed nominal value (R2 = .07) in predicting academic achievement and persistence beyond the explanation provided by traditional admissions criteria. Additionally, a ROC analysis determined that the test-optional essay rating score does not predict student retention in a way that is meaningfully different than chance and therefore is not an accurate binary classifier of retention. Further research should investigate the validity of other motivational-developmental dimensions and the fidelity of other methods for measuring them in an attempt to account for a greater proportion of variance in college student success. / Educational Leadership

Standardized methodologies for usability evaluation have been of interest to the Human-Computer Interaction(HCI) community for years due to their perceived advantages over non-standardized ones. Such methodologies include standardized questionnaires designed to measure usability, although it has been argued that such questionnaires can only measure user satisfaction and not usability in general. This study was conducted together with the editorial experience (EDX)team at Sveriges Television AB (SVT) in order to identify appropriate standardized methods for usability evaluation of the content management system they are currently developing, while at the same time exploring how questionnaire formats such as the System Usability Scale(SUS) could benefit from being complemented by objective measurement methods such as the keystroke-level model (KLM) and productive time. The project ran test sessions with participants using a benchmark version of the current content management system and a prototype of a redesigned version. SUS, KLM and productive time were then applied to both versions and compared. The results showed no significant difference in the usability of the two versions, although the study lacks reliable data to draw any strong conclusions. However, the data does raise interesting questions that may provide the groundwork for future research. This includes findings that may question the validity of SUS when used for the evaluation of prototypes and the benefits of objective measures to self-administered questionnaires.