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Title: The Effectiveness of Using Florida Virtual High School Course Data during the College Admission Process as a Predictor of Degree Completion Within Six Years.
Creator: Callahan, Michael, King, Kathy (Kathleen), Cox, Dr. Thomas, Whiteman, JoAnn, Preston, Michael, University of Central Florida
Abstract / Description: The admission process at higher education institutions has not adapted for online distance education classes taken in high schools, such as those offered by the Florida Virtual School. The purpose of this study was to determine whether online distance education courses taken in high school can serve as an indicator of student success in post-secondary education. An honors program at a large public research university provided the data examined. This honors program stored online distance...
Show moreThe admission process at higher education institutions has not adapted for online distance education classes taken in high schools, such as those offered by the Florida Virtual School. The purpose of this study was to determine whether online distance education courses taken in high school can serve as an indicator of student success in post-secondary education. An honors program at a large public research university provided the data examined. This honors program stored online distance education information in a database, which allowed for analysis. Presently, the institution's primary undergraduate admission office does not collect or store this type of information. I used SPSS Statistics to calculate logistical regression on this data. My goal was to discover what effect the high school online distance education variables had on the outcome of graduating in four or six years. Graduation rate is a key metric for colleges and universities as an indicator of success. For this reason, I wanted to determine through this study whether high school online distance education assisted in predicting which students will graduate. At least two stakeholders will find this information useful. Admission officers and, more specifically, honors admission officers will gain more insight into the student selection process as this study examines students in the top 10% of the incoming class. The other group, future researchers, will learn from this study and other new studies for even more understanding on this topic. Although the results indicated that high-achieving Florida Virtual School students do not graduate at higher rate than students who have not completed distance education classes, more research is required to understand how the other 90% of student applicants are affected by distance education courses completed in high school.
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Date Issued: 2017
Identifier: CFE0006861, ucf:51754
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006861

Title: THE IMPACT OF MEDITATION AND MINDFULNESS IN THE ELEMENTARY CLASSROOM: A REVIEW OF RESEARCH LITERATURE ACROSS FIVE DISCIPLINES.
Creator: Routhier-Martin, Kayli, Killingsworth Roberts, Sherron, University of Central Florida
Abstract / Description: Mindfulness meditation programs, benefits, and outcomes were examined through research previously conducted and published by professionals within five differing disciplines: health and wellness, psychology, elementary education, exceptional education, and medicine. The goal was to find common themes within the differing disciplines in order to gather information about the effectiveness of a mindfulness meditation program to be used in an elementary classroom. In this thesis, the chapter of...
Show moreMindfulness meditation programs, benefits, and outcomes were examined through research previously conducted and published by professionals within five differing disciplines: health and wellness, psychology, elementary education, exceptional education, and medicine. The goal was to find common themes within the differing disciplines in order to gather information about the effectiveness of a mindfulness meditation program to be used in an elementary classroom. In this thesis, the chapter of Health and Wellness is a review of literature that tells the benefits found within meditators, which are not found within non-meditators. The chapter of Psychology explains the social-emotional needs of students, the causes of stress and anxieties amongst students, and the benefits that meditation provides in order to counter the negative effects of stress, anxiety, poverty, etc. The chapter of Elementary Education reviews research literature on the existing mindfulness meditation programs within the United States. This chapter also describes the implementation of such a program in an elementary school, as well as the documented data of the outcomes of the programs. The chapter of Exceptional Education is a review of the research literature on the benefits mindfulness meditation has on students with exceptionalities, such as specific learning disabilities, attention deficit hyperactivity disorder, and autism spectrum disorder. The chapter of Medicine is a retelling of previously published scholarly articles that list the neurological benefits of meditation, and also references the negative side effects to the currently prescribed medications that are being used in the treatment of ADHD.
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Date Issued: 2015
Identifier: CFH0004877, ucf:45424
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004877

Title: Sampling and Subspace Methods for Learning Sparse Group Structures in Computer Vision.
Creator: Jaberi, Maryam, Foroosh, Hassan, Pensky, Marianna, Gong, Boqing, Qi, GuoJun, Pensky, Marianna, University of Central Florida
Abstract / Description: The unprecedented growth of data in volume and dimension has led to an increased number of computationally-demanding and data-driven decision-making methods in many disciplines, such as computer vision, genomics, finance, etc. Research on big data aims to understand and describe trends in massive volumes of high-dimensional data. High volume and dimension are the determining factors in both computational and time complexity of algorithms. The challenge grows when the data are formed of the...
Show moreThe unprecedented growth of data in volume and dimension has led to an increased number of computationally-demanding and data-driven decision-making methods in many disciplines, such as computer vision, genomics, finance, etc. Research on big data aims to understand and describe trends in massive volumes of high-dimensional data. High volume and dimension are the determining factors in both computational and time complexity of algorithms. The challenge grows when the data are formed of the union of group-structures of different dimensions embedded in a high-dimensional ambient space.To address the problem of high volume, we propose a sampling method referred to as the Sparse Withdrawal of Inliers in a First Trial (SWIFT), which determines the smallest sample size in one grab so that all group-structures are adequately represented and discovered with high probability. The key features of SWIFT are: (i) sparsity, which is independent of the population size; (ii) no prior knowledge of the distribution of data, or the number of underlying group-structures; and (iii) robustness in the presence of an overwhelming number of outliers. We report a comprehensive study of the proposed sampling method in terms of accuracy, functionality, and effectiveness in reducing the computational cost in various applications of computer vision. In the second part of this dissertation, we study dimensionality reduction for multi-structural data. We propose a probabilistic subspace clustering method that unifies soft- and hard-clustering in a single framework. This is achieved by introducing a delayed association of uncertain points to subspaces of lower dimensions based on a confidence measure. Delayed association yields higher accuracy in clustering subspaces that have ambiguities, i.e. due to intersections and high-level of outliers/noise, and hence leads to more accurate self-representation of underlying subspaces. Altogether, this dissertation addresses the key theoretical and practically issues of size and dimension in big data analysis.
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Date Issued: 2018
Identifier: CFE0007017, ucf:52039
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007017

Title: Fanfiction Reviews and Academic Literacy: Potential Impacts and Implications.
Creator: Weiler, Regina, Katt, James, Musambira, George, Butler, John, University of Central Florida
Abstract / Description: This study is meant to elucidate how fanfiction-related activities can incorporate many types of critical review, to call attention to what has been overlooked as significant forms of learning, and to understand and take advantage of the opportunities fanfiction's unconventional writing affords in lieu of more deliberate learning environments. This thesis was undertaken due to the significant gap in work done by aca-fan (-) a portmanteau of academic and fan(-) scholars who have strong links...
Show moreThis study is meant to elucidate how fanfiction-related activities can incorporate many types of critical review, to call attention to what has been overlooked as significant forms of learning, and to understand and take advantage of the opportunities fanfiction's unconventional writing affords in lieu of more deliberate learning environments. This thesis was undertaken due to the significant gap in work done by aca-fan (-) a portmanteau of academic and fan(-) scholars who have strong links to the fanfiction community and culture. The aspects explored are the technical writing skills and techniques demonstrated in fanfiction reviews, the influence of the nontraditional online learning environment, the rhetorical strategies that reviewers use to give feedback, the significant categories of things that reviewers comment on, and the value of skills taught peer-to-peer in this manner. The results of my research suggest that peer review in a relaxed, non-academic context leads to improved confidence and skill among a wide demographic range. This thesis proposes that fanfiction writing, reading, and reviewing supports learning. The evidence suggests that it be incorporated where applicable in formal classroom learning to supplement traditional understandings of grammar, syntax, tone, and the use of universal tropes.
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Date Issued: 2019
Identifier: CFE0007553, ucf:52603
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007553

Title: OPTIMAL DETOUR PLANNING AROUND BLOCKED CONSTRUCTION ZONES.
Creator: Jardaneh , Mutasem, Khalafallah, Ahmed, University of Central Florida
Abstract / Description: Construction zones are traffic way areas where construction, maintenance or utility work is identified by warning signs, signals and indicators, including those on transport devices that mark the beginning and end of construction zones. Construction zones are among the most dangerous work areas, with workers facing workplace safety challenges that often lead to catastrophic injuries or fatalities. In addition, daily commuters are also impacted by construction zone detours that affect their...
Show moreConstruction zones are traffic way areas where construction, maintenance or utility work is identified by warning signs, signals and indicators, including those on transport devices that mark the beginning and end of construction zones. Construction zones are among the most dangerous work areas, with workers facing workplace safety challenges that often lead to catastrophic injuries or fatalities. In addition, daily commuters are also impacted by construction zone detours that affect their safety and daily commute time. These problems represent major challenges to construction planners as they are required to plan vehicle routes around construction zones in such a way that maximizes the safety of construction workers and reduces the impact on daily commuters. This research aims at developing a framework for optimizing the planning of construction detours. The main objectives of the research are to first identify all the decision variables that affect the planning of construction detours and secondly, implement a model based on shortest path formulation to identify the optimal alternatives for construction detours. The ultimate goal of this research is to offer construction planners with the essential guidelines to improve construction safety and reduce construction zone hazards as well as a robust tool for selecting and optimizing construction zone detours.
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Date Issued: 2011
Identifier: CFE0003586, ucf:48900
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003586

Title: PATTERNS OF MOTION: DISCOVERY AND GENERALIZED REPRESENTATION.
Creator: Saleemi, Imran, Shah, Mubarak, University of Central Florida
Abstract / Description: In this dissertation, we address the problem of discovery and representation of motion patterns in a variety of scenarios, commonly encountered in vision applications. The overarching goal is to devise a generic representation, that captures any kind of object motion observable in video sequences. Such motion is a significant source of information typically employed for diverse applications such as tracking, anomaly detection, and action and event recognition. We present statistical...
Show moreIn this dissertation, we address the problem of discovery and representation of motion patterns in a variety of scenarios, commonly encountered in vision applications. The overarching goal is to devise a generic representation, that captures any kind of object motion observable in video sequences. Such motion is a significant source of information typically employed for diverse applications such as tracking, anomaly detection, and action and event recognition. We present statistical frameworks for representation of motion characteristics of objects, learned from tracks or optical flow, for static as well as moving cameras, and propose algorithms for their application to a variety of problems. The proposed motion pattern models and learning methods are general enough to be employed in a variety of problems as we demonstrate experimentally. We first propose a novel method to model and learn the scene activity, observed by a static camera. The motion patterns of objects in the scene are modeled in the form of a multivariate non-parametric probability density function of spatiotemporal variables (object locations and transition times between them). Kernel Density Estimation (KDE) is used to learn this model in a completely unsupervised fashion. Learning is accomplished by observing the trajectories of objects by a static camera over extended periods of time. The model encodes the probabilistic nature of the behavior of moving objects in the scene and is useful for activity analysis applications, such as persistent tracking and anomalous motion detection. In addition, the model also captures salient scene features, such as, the areas of occlusion and most likely paths. Once the model is learned, we use a unified Markov Chain Monte-Carlo (MCMC) based framework for generating the most likely paths in the scene, improving foreground detection, persistent labelling of objects during tracking and deciding whether a given trajectory represents an anomaly to the observed motion patterns. Experiments with real world videos are reported which validate the proposed approach. The representation and estimation framework proposed above, however, has a few limitations. This algorithm proposes to use a single global statistical distribution to represent all kinds of motion observed in a particular scene. It therefore, does not find a separation between multiple semantically distinct motion patterns in the scene. Instead, the learned model is a joint distribution over all possible patterns followed by objects. To overcome this limitation, we then propose a superior method for the discovery and statistical representation of motion patterns in a scene. The advantages of this approach over the first one are two-fold: first, this model is applicable to scenes of dense crowded motion where tracking may not be feasible, and second, it distinguishes between motion patterns that are distinct at a semantic level of abstraction. We propose a mixture model representation of salient patterns of optical flow, and present an algorithm for learning these patterns from dense optical flow in a hierarchical, unsupervised fashion. Using low level cues of noisy optical flow, K-means is employed to initialize a Gaussian mixture model for temporally segmented clips of video. The components of this mixture are then filtered and instances of motion patterns are computed using a simple motion model, by linking components across space and time. Motion patterns are then initialized and membership of instances in different motion patterns is established by using KL divergence between mixture distributions of pattern instances. Finally, a pixel level representation of motion patterns is proposed by deriving conditional expectation of optical flow. Results of extensive experiments are presented for multiple surveillance sequences containing numerous patterns involving both pedestrian and vehicular traffic. The proposed method exploits optical flow as the low level feature and performs a hierarchical clustering to obtain motion patterns; and we observe that the use of optical flow is also an integral part of a variety of other vision applications, for example, as features based representation of human actions. We, therefore, propose a new representation for articulated human actions using the motion patterns. The representation is based on hierarchical clustering of observed optical flow in four dimensional, spatial and motion flow space. The automatically discovered motion patterns, are the primitive actions, representative of flow at salient regions on the human body, much like trajectories of body joints, which are notoriously difficult to obtain automatically. The proposed method works in a completely unsupervised fashion, and in sharp contrast to state of the art representations like bag of video words, provides a truly semantically meaningful representation. Each primitive action depicts the most atomic sub-action, like left arm moving upwards, or right leg moving downward and leftward, and is represented by a mixture of four dimensional Gaussian distributions. A sequence of primitive actions are discovered in the test video, and labelled by computing the KL divergence between mixtures. The entire video sequence containing the human action, is thus reduced to a simple string, which is matched against similar strings of training videos to classify the action. The string matching is performed by global alignment, using the well-known Needleman-Wunsch algorithm. Experiments reported on multiple human actions data sets, confirm the validity, simplicity, and semantically meaningful nature of the proposed representation. Results obtained are encouraging and comparable to the state of the art.
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Date Issued: 2011
Identifier: CFE0003646, ucf:48836
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003646

Title: Bullying Victimization, Feared Second Language Self, and Second Language Identity: Reconceptualizing The Second Language Motivational Self System.
Creator: Peker, Hilal, Hoffman, Bobby, Regalla, Michele, Nutta, Joyce, Witta, Eleanor, Vitanova-Haralampiev, Gergana, University of Central Florida
Abstract / Description: Factors affecting English learners' (ELs) motivation and identity have been explored in second language (L2) learning contexts; however, research examining L2 motivation and identity under the effect of bullying victimization is rare although ELs are one of the populations that are physically and psychologically affected from bullying. Using a unique perspective by merging L2 motivation, L2 identity, and bullying concepts under social ecological framework, this dissertation study is the first...
Show moreFactors affecting English learners' (ELs) motivation and identity have been explored in second language (L2) learning contexts; however, research examining L2 motivation and identity under the effect of bullying victimization is rare although ELs are one of the populations that are physically and psychologically affected from bullying. Using a unique perspective by merging L2 motivation, L2 identity, and bullying concepts under social ecological framework, this dissertation study is the first study investigating the relationship between bullying victimization, L2 Motivational Self System, and L2 identity.The data were derived from 1022 ELs through a self-report survey that was adapted and tested for measurement model validity and reliability. Partial least square structural equation modeling (PLS-SEM) results indicated that there was a strong relationship between bullying victimization, including traditional bullying and cyberbullying, L2 Motivational Self System, and L2 identity. Traditional bullying victimization and cyberbullying victimization affect ELs' feared L2 selves. This suggests that the feared L2 self may be added as a component to D(&)#246;rnyei's L2 Motivational Self System, especially when bullying victimization becomes a factor in language learning process. In addition, cyberbullying victimization positively correlated with ELs' oriented identity, which may indicate that ELs as agents were more motivated to learn English to overcome the negative effects of bullying victimization and to orient to the target culture. Based on the results, potential implications were provided for teachers and curriculum developers to help ELs cope with bullying in class and outside the classroom environment.
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Date Issued: 2016
Identifier: CFE0006373, ucf:51537
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006373

Title: University Students' Citizenship Shaped by Service-Learning, Community Service, and Peer-to-Peer Civic Discussions.
Creator: Winston, Haley, Cintron Delgado, Rosa, Welch, Kerry, Malaret, Stacey, Bowdon, Melody, University of Central Florida
Abstract / Description: Citizenship is often referred to as the forgotten outcome of colleges and universities. The present study examined the relationship between undergraduate students' perceived citizenship level and different types of civic experiences (service-learning, community service, and peer-to-peer civic discussions) and also different demographic factors (gender, race/ethnicity, and parental level of education) at a public institution using the Personal and Social Responsibility Inventory. This study...
Show moreCitizenship is often referred to as the forgotten outcome of colleges and universities. The present study examined the relationship between undergraduate students' perceived citizenship level and different types of civic experiences (service-learning, community service, and peer-to-peer civic discussions) and also different demographic factors (gender, race/ethnicity, and parental level of education) at a public institution using the Personal and Social Responsibility Inventory. This study used structural equation modeling and multiple regression analysis. This marks the first time these variables have been researched together. This study found a significant correlation between both community service and peer-to-peer civic discussions in relation to citizenship level. Yet, service-learning frequency was not found to be a significant factor. On the other hand, all three civic experiences together was found to be significantly correlated to citizenship aptitudes. Leading the researcher to find that a holistic (both inside and outside the classroom) approach to student citizenship is valuable for student development. Also, only one significant relationship was found between citizenship levels and any demographic variable (parental education level of doctorate or professional degree).
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Date Issued: 2017
Identifier: CFE0006927, ucf:51695
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006927

Title: A Comparison of Sixth Grade Student Achievement in Reading and Mathematics at School Transition Year.
Creator: Roseboom, Julie, Taylor, Rosemarye, Doherty, Walter, Bai, Haiyan, Beattie, Karen, University of Central Florida
Abstract / Description: This study contributed information for consideration as school districts determine grade span configuration as part of school design. The problem addressed was the extent to which student achievement may be impacted by the transition from one school to another from fifth to sixth grade in Florida public schools in order to provide data to school policy makers and school district administrators and add to the body of knowledge on the grade level configuration that contributed the most to...
Show moreThis study contributed information for consideration as school districts determine grade span configuration as part of school design. The problem addressed was the extent to which student achievement may be impacted by the transition from one school to another from fifth to sixth grade in Florida public schools in order to provide data to school policy makers and school district administrators and add to the body of knowledge on the grade level configuration that contributed the most to student achievement in sixth grade. This was a causal-comparative study using quantitative data to analyze student scores at the school level for reading and mathematics on the 2014 Florida Comprehensive Achievement Test (FCAT) 2.0 assessment to explore the difference in achievement for sixth grade students with no school transition compared to those who had school transitions during middle school. A multivariate analysis of covariance (MANCOVA) was used to examine if a difference existed in the dependent variables of sixth-grade reading and mathematics achievement as measured by school mean developmental scale scores and the school percentage of students making learning gains on the FCAT 2.0 between schools with sixth grade as the transition year and without sixth grade as the transition year. The analyses were controlled for the covariates of the school percentages of socio-economic status as determined by free and reduced lunch rate, English Learner status, and exceptional student education status. Findings signified that schools with no school transition between fifth and sixth grade in Florida public schools had higher sixth-grade mean scores in reading and mathematics as measured by school mean developmental scale scores and in reading as measured by the percentage of school learning gains. This study offers insight into what grade configuration is more likely to positively impact student achievement during the middle grades and supports students remaining in an elementary setting with fewer transitions during the middle grades to most benefit reading and mathematics achievement. Findings are useful to school boards, superintendents, and school district administrators interested in educational policy development and research on transition especially when restructuring school grade configurations and building new school sites.
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Date Issued: 2015
Identifier: CFE0006545, ucf:51347
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006545

Title: An Analysis of the Readiness and Confidence of High School Administrators to Provide Instructional Leadership in Digital School Environments.
Creator: Shepherd, Andrew, Taylor, Rosemarye, Doherty, Walter, Johnson, Jerry, Border, Harold, University of Central Florida
Abstract / Description: The purpose of this study was to analyze the perceived knowledge and confidence of high school administrators to lead in a digital school environment. This study utilized an exploratory mixed-methods case study analysis along with the 62-item Digital Instructional Leadership Readiness Instrument (DILRI)(&)copy; to measure school administrators' knowledge and confidence to lead in a digital school environment. High school administrators within the target school district were requested to...
Show moreThe purpose of this study was to analyze the perceived knowledge and confidence of high school administrators to lead in a digital school environment. This study utilized an exploratory mixed-methods case study analysis along with the 62-item Digital Instructional Leadership Readiness Instrument (DILRI)(&)copy; to measure school administrators' knowledge and confidence to lead in a digital school environment. High school administrators within the target school district were requested to complete the DILRI(&)copy; at two separate points in time: September 2016 and June 2017. Based on these two administrations, this study's six Research Questions were answered. Research Questions 1, 2, 3, 4, and 6 were addressed quantitatively using descriptive statistics, along with two MANOVA analyses for Research Question 6. Research Question 5 was answered qualitatively by examining open-ended responses found within the DILRI(&)copy;. Based on the data collected, Experience Supervising Others and Colleagues were two factors ranked highest by administrators as influencing their knowledge and confidence. Additionally, high school administrators perceive themselves to be knowledge and confident in recognizing Student Engagement and Student Collaboration, and in developing digital school culture factors of Leadership Teams, Empowering Teachers, and Shared Vision. Overall means increased for knowledge and confidence on each scale between the September 2016 and June 2017 DILRI(&)copy; administrations. Much research relating to the digital school environment has only focused on the preparation required of teachers; therefore, this study provides administrators, directors, school boards, superintendents, and other school district leaders with relevant information relating to the self-reported readiness of high school administrators to lead in a digital school environment.
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Date Issued: 2017
Identifier: CFE0007295, ucf:52173
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007295

Title: Factors Affecting Systems Engineering Rigor in Launch Vehicle Organizations.
Creator: Gibson, Denton, Karwowski, Waldemar, Rabelo, Luis, Kotnour, Timothy, Kern, David, University of Central Florida
Abstract / Description: Systems engineering is a methodical multi-disciplinary approach to design, build, and operate complex systems. Launch vehicles are considered by many extremely complex systems that have greatly impacted where the systems engineering industry is today. Launch vehicles are used to transport payloads from the ground to a location in space. Satellites launched by launch vehicles can range from commercial communications to national security payloads. Satellite costs can range from a few million...
Show moreSystems engineering is a methodical multi-disciplinary approach to design, build, and operate complex systems. Launch vehicles are considered by many extremely complex systems that have greatly impacted where the systems engineering industry is today. Launch vehicles are used to transport payloads from the ground to a location in space. Satellites launched by launch vehicles can range from commercial communications to national security payloads. Satellite costs can range from a few million dollars to billions of dollars. Prior research suggests that lack of systems engineering rigor as one of the leading contributors to launch vehicle failures. A launch vehicle failure could have economic, societal, scientific, and national security impacts. This is why it is critical to understand the factors that affect systems engineering rigor in U.S. launch vehicle organizations.The current research examined organizational factors that influence systems engineering rigor in launch vehicle organizations. This study examined the effects of the factors of systems engineering culture and systems engineering support on systems engineering rigor. Particularly, the effects of top management support, organizational commitment, systems engineering support, and value of systems engineering were examined. This research study also analyzed the mediating role of systems engineering support between top management support and systems engineering rigor, as well as between organizational commitment and systems engineering rigor. A quantitative approach was used for this. Data for the study was collected via survey instrument. A total of 203 people in various systems engineering roles in launch vehicle organizations throughout the United States voluntarily participated. Each latent construct of the study was validated using confirmatory factor analysis (CFA). Structural equation modeling (SEM) was used to examine the relationships between the variables of the study. The IBM SPSS Amos 25 software was used to analyze the CFA and SEM.
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Date Issued: 2019
Identifier: CFE0007806, ucf:52348
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007806

Title: EFFECTIVE SCHOOL CHARACTERISTICS AND STUDENT ACHIEVEMENT CORRELATES AS PERCEIVED BY TEACHERS IN AMERICAN STYLE INTERNATIONAL SCHOOLS.
Creator: Doran, James, Allen, Kay, University of Central Florida
Abstract / Description: The purpose of this study is to investigate the relationships between effective school characteristics and norm referenced standardized test scores in American-style international schools. In contrast to schools in traditional effective schools research, international schools typically have middle to high SES families, and display average to above average achievement. Eleven effective school characteristics were identified and correlated with standardized test scores for grades 4, 6, and 8...
Show moreThe purpose of this study is to investigate the relationships between effective school characteristics and norm referenced standardized test scores in American-style international schools. In contrast to schools in traditional effective schools research, international schools typically have middle to high SES families, and display average to above average achievement. Eleven effective school characteristics were identified and correlated with standardized test scores for grades 4, 6, and 8 and high school SAT scores. Data was gathered from an online teacher questionnaire designed for this study. All eleven characteristics were present in high performing international schools while frequent analysis of student progress, high academic expectations and positive school environment were more prominent. Positive school environment, high academic expectations, strong instructional leadership and cultural diversity were chosen as important characteristics of an effective international school. Learning time is maximized was the only characteristic that was significantly correlated with achievement and only in grades 4, 6 and 8. There was no statistically significant relationship found between norm referenced test scores and the aggregate effective school characteristics score.
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Date Issued: 2004
Identifier: CFE0000245, ucf:46244
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000245

Title: Evaluating Improvisation as a Technique for Training Pre-Service Teachers for Inclusive Classrooms.
Creator: Becker, Theresa, Hines, Rebecca, Beverly, Monifa, Hopp, Carolyn, Hamed, Kastro, University of Central Florida
Abstract / Description: Improvisation is a construct that uses a set of minimal heuristic guidelines to create a highly flexible scaffold that fosters extemporaneous communication. Scholars from diverse domains: such as psychology, business, negotiation, and education have suggested its use as a method for preparing professionals to manage complexity and think on their feet. A review of the literature revealed that while there is substantial theoretical scholarship on using improvisation in diverse domains, little...
Show moreImprovisation is a construct that uses a set of minimal heuristic guidelines to create a highly flexible scaffold that fosters extemporaneous communication. Scholars from diverse domains: such as psychology, business, negotiation, and education have suggested its use as a method for preparing professionals to manage complexity and think on their feet. A review of the literature revealed that while there is substantial theoretical scholarship on using improvisation in diverse domains, little research has verified these assertions. This dissertation evaluated whether improvisation, a specific type of dramatic technique, was effective for training pre-service teachers in specific characteristics of teacher-child classroom interaction, communication and affective skills development. It measured the strength and direction of any potential changes such training might effect on pre-service teacher's self-efficacy for teaching and for implementing the communication skills common to improvisation and teaching while interacting with student in an inclusive classroom setting. A review of the literature on teacher self-efficacy and improvisation clarified and defined key terms, and illustrated relevant studies. This study utilized a mixed-method research design based on instructional design and development research. Matched pairs t-tests were used to analyze the self-efficacy and training skills survey data and pre-service teacher reflections and interview transcripts were used to triangulate the qualitative data. Results of the t-tests showed a significant difference in participants' self-efficacy for teaching measured before and after the improvisation training. A significant difference in means was also measured in participants' aptitude for improvisation strategies and for self-efficacy for their implementation pre-/post- training. Qualitative results from pre-service teacher class artifacts and interviews showed participants reported beneficial personal outcomes as well as confirmed using skills from the training while interacting with students. Many of the qualitative themes parallel individual question items on the teacher self-efficacy TSES scale as well as the improvisation self-efficacy scale CSAI. The self-reported changes in affective behavior such as increased self-confidence and ability to foster positive interaction with students are illustrative of changes in teacher agency. Self-reports of being able to better understand student perspectives demonstrate a change in participant ability to empathize with students. Participants who worked with both typically developing students as well as with students with disabilities reported utilizing improvisation strategies such as Yes, and..., mirroring emotions and body language, vocal prosody and establishing a narrative relationship to put the students at ease, establish a positive learning environment, encourage student contributions and foster teachable moments. The improvisation strategies showed specific benefit for participants working with nonverbal students or who had commutation difficulties, by providing the pre-service teachers with strategies for using body language, emotional mirroring, vocal prosody and acceptance to foster interaction and communication with the student.Results from this investigation appear to substantiate the benefit of using improvisation training as part of a pre-service teacher methods course for preparing teachers for inclusive elementary classrooms. Replication of the study is encouraged with teachers of differing populations to confirm and extend results.
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Date Issued: 2012
Identifier: CFE0004516, ucf:49273
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004516

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