<p> Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional logistic regression (FLR) model was developed to forecast a binary response variable in the functional case. In this study, a functional nominal multinomial logit regression (F-NM-LR) model was developed that shifts the FLR model into a multiple logit model. However, the model generates inaccurate parameter function estimates due to multicollinearity in the design matrix. A generalized partial least squares (GPLS) approach with cubic B-spline basis expansions was developed to address the multicollinearity and high dimensionality problems that preclude accurate estimates and curve discrimination with the F-NM-LR model. The GPLS method extends partial least squares (PLS) and improves upon current methodology by introducing a component selection criterion that reconstructs the parameter function with fewer predictors. The GPLS regression estimates are derived via Iteratively ReWeighted Partial Least Squares (IRWPLS), defining a set of uncorrelated latent variables to use as predictors for the F-GPLS-NM-LR model. This methodology was compared to the classic alternative estimation method of principal component regression (PCR) in a simulation study. The performance of the proposed methodology was tested via simulations and applications on a spectrometric dataset. The results indicate that the GPLS method performs well in multi-class prediction with respect to the F-NM-LR model. The main difference between the two approaches was that PCR usually requires more components than GPLS to achieve similar accuracy of parameter function estimates of the F-GPLS-NM-LR model. The results of this research imply that the GPLS method is preferable to the F-NM-LR model, and it is a useful contribution to FDA techniques. This method may be particularly appropriate for practical situations where accurate prediction of a response variable with fewer components is a priority.</p><p>

<p> Issues of sexual assault have become pervasive across all social strata in American society. Citizens need to start having conversations regarding these issues. To combat the issue of sexual assault, children need to be educated regarding the multifaceted aspects of sex through sex education in order to understand consent and resources they have available to them. Utilizing grounded theory methodology, this thesis analyzes sex education literature provided to Palm Beach County Middle School students. Using Burke&rsquo;s theory of terministic screens and Foucauldian theories of power and control; an understanding of the ideological underpinnings of this literature and discourse were acquired. After analysis, suggestions for disclosure and sex education programs are provided.</p>

This study reports middle school astronomy classes that implemented photographs and classroom response systems (CRSs) in a discussion-oriented pedagogy with a curriculum unit for the topics of day-night and cause of seasons. In the new pedagogy, a teacher presented conceptual questions with photographs, her 6th grade students responded using the CRSs, and the teacher facilitated classroom discussion based on the student responses. I collected various data: classroom observation with field-note taking and videotaping, student pre- and post-conception tests, student attitude survey and classroom short surveys, and teacher interviews. Classroom video recordings and teacher interviews were transcribed verbatim and analyzed with the grounded theory approach. This approach was used to analyze the open responses of the student attitude survey as well. Pre- and post- conception tests consisted of open-ended questions and they were scored based upon rubrics. Numerical data were analyzed with descriptive statistics and simple t-tests. In this study, I answered three research questions: (1) student-teacher discourses and interaction patterns while learning and teaching with the photographs and CRSs in the new pedagogy; (2) 6th grade students' misconceptions about the concepts of day-night and cause of seasons, and their knowledge gains after they had the intervention; and (3) the students' and the teacher's attitude toward the new curriculum and the new pedagogy. Finally, I discuss the student-teacher interaction model and three important teacher-questionings in this pedagogy; levels of misconceptions; and the pedagogical roles of the photographs and CRSs.

The purpose of this study is to investigate student interactions with simulations, and teacher support of those interactions, within naturalistic high school physics classroom settings. This study focuses on data from two lesson sequences that were conducted in several physics classrooms. The lesson sequences were conducted in a whole class discussion format in approximately half of the class sections and in a hands-on-computer small group format in matched class sections. Analysis used a mixed methods approach where: (1) quantitative methods were used to evaluate pre-post data; (2) open coding and selective coding were used for transcript analysis; and (3) comparative case studies were used to consider the quantitative and qualitative data in light of each other and to suggested possible explanations. Although teachers expressed the expectation that the small group students would learn more, no evidence was found in pre-post analysis for an advantage for the small group sections. Instead, a slight trend was observed in favor of the whole class discussion sections, especially for students in the less advanced sections. In seeking to explain these results, qualitative analyses of transcript and videotape data were conducted, revealing that many more episodes of support for interpreting visual elements of the simulations occurred in the whole class setting than in the matched small group discussions; not only teachers, but, at times, students used more visual support moves in the whole class discussion setting. In addition, concepts that had been identified as key were discussed for longer periods of time in the whole class setting than in the matched small group discussions in six of nine matched sets. For one of the lesson sequences, analysis of student work on in-class activity sheets identified no evidence that any of the Honors or College Preparatory students in the small groups had made use in their thinking of the key features of the sophisticated and popular physics simulation they had used, while such evidence was identified in the work of many of the whole class students. Analysis of the whole class discussions revealed a number of creative teaching strategies in use by the teachers that may have helped offset the advantage of hands-on experience with the simulations and animations enjoyed by the small group students. These results suggest that there may exist whole class teaching strategies for promoting at least some of the active thinking and exploration that has been considered to be the strength of small group work, and appear to offer encouragement to teachers who do not have the resources to allow their classes to engage regularly in small group work at the computer. Furthermore, these examples suggest the somewhat surprising possibility that there may be certain instructional situations where there is an advantage to spending at least part of the time with a simulation or animation in a whole class discussion mode.

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Dissertation submitted to the Faculty of Arts in accordance with the requirements for the Masters' Degree in Library and Information Science in the Department of Library and Information Studies, at the University of Zululand, 2019. / This research sought to explore informetrics education in Library and Information Science (LIS) departments in South Africa. This study adopted the pragmatic epistemology and pluralistic ontology. The abductive approach was considered appropriate for this study. The employed mixed research methods were survey and content analysis. The survey research methods, through questionnaire, were used to collect data from the LIS heads of departments (HODs) and informetrics lecturers. On the other hand, the content analysis was employed to analyse the content of course outlines. The study‟s population was all LIS departments in South Africa. Nine LIS departments were targeted and responses were received from eight LIS departments. Five of the eight departments were found to offer informetrics education. These were the LIS departments from the University of Cape Town, University of Kwa-Zulu Natal, University of Limpopo, University of Western Cape, and the University of Zululand. The LIS department at the University of Zululand is the only department that offers informetrics education as autonomous module/course in the full programme. Other LIS departments offer it as a chapter/Unit in a module. Three LIS departments (University of Cape Town, University of Limpopo, and University of Western Cape) offer informetrics as module component at a Masters level. The LIS department at the University of Zululand offers informetrics education to level three and four undergraduate students in two programmes- BLIS and BIS. The University of Limpopo also offers it at an undergraduate level (level two, three and honours). The content analysis revealed that the scope of informetrics is broad in the essence that there is no uniformity in the content of informetrics across all LIS departments. The blended learning method is widely used: cased studies, group discussions, and online teaching and learning methods are commonly used for informetrics education. Numerous challenges that surround informetrics education were pointed out. Most of them are linked to the consideration that informetrics is broad, ICT reliant and dynamic. The solutions to the challenges were suggested. The study concluded that there is very limited informetrics education in South Africa. The study recommended that LIS departments create awareness about informetrics education, develop informetrics curricula, provide short courses on informetrics, and keep up with the trends in LIS education internationally.

As computer science students develop more complex programs at the end of their first year of course work, comprehending the complex and varied interactions of program execution, potential control flow and data relationships become more and more difficult. Additionally, for instructors when evaluating student's programs, a simplified view of more complex (longer) programs is desirable. This thesis explores algorithms to create a tool for students that provides a simplified view of these concepts via visualization. The tool created for this thesis provides interactive visual representations of student programs. This allows for a simplified representation of the entire program along with depth exploration options to examine potential control flow and data access/mutations. The following is an exploration of program visualization, with a focus on usability in an educational setting. Two main approaches will be discussed. The first attempts to visualize the call graph of a running program by showing what methods call what other methods, and the frequency in which they are invoked. The second shows all potential paths through a non-running program, by viewing the program on a per-method level. This approach also includes information about how methods interact with data. As a test case this thesis focuses on a spell check program which builds a binary search tree dictionary then searches it for input strings and provides correction suggestions if the input is not found in the dictionary. We present an evaluation of our tool via creating visualizations of four different student implementations of this program. These visualizations are then analyzed by computer science faculty to identify common threads throughout all submissions, as well as areas where individual students struggled or excelled. Additionally visualizations are used as a tool in a lecture instructing students about binary search trees. The students provide feedback as to the effectiveness of the visualizations and their comprehension of the material. We conclude that program visualization is a difficult task, especially when students are unused to visualizing control flow. Results indicate potential for use as both a student and instructor tool, though further research is required to identify optimal usage.

No description available.

According to Fossati and Guzdail, many CS instructors rely on their intuition, feedback from students and anecdotal advice from other instructors to make course improvements. Guzdail noted that: "Computing educators' practice would dramatically improve if we drew on evidence, rather than intuition". This means that Computer Science instructors may benefit from processes and tools that help them make informed changes to their curriculum. An evidence-based approach to course improvement is curriculum alignment, which evaluates the degree which the learning objectives, course content, and assessment methods are in agreement with each other. This provides instructors with a detailed view of their course and areas that need improvement. Current alignment processes are impractical for a course instructor to apply, requiring a panel of experts and training on the process. In this research, I developed a computer-assisted alignment process (CAAP) that uses the concept of traceability from software engineering, to define a process that is applicable by a single course instructor limiting the need for a panel of experts. In an initial application CAAP took 75 hours to apply, consequently a prototype alignment tool (AlignET) was designed to automates the new alignment process providing instructors with results they can use to make course improvements. I evaluated the practicality of AlignET by conducting collective case studies with four participants. Observations and interviews were used to collect data. AlignET reduced the time to complete CAAP to less than 11 hours and the participants identified course improvements, gaps in their instructional methods, and learning objectives they emphasized more than others. The findings from the case study presented key improvements to AlignET. / Doctor of Philosophy / According to Fossati and Guzdail, many CS instructors rely on their intuition, feedback from students and anecdotal advice from other instructors to make course improvements. Guzdail noted that: "Computing educators' practice would dramatically improve if we drew on evidence, rather than intuition". This means that Computer Science instructors may benefit from processes and tools that help them make informed changes to their curriculum. An evidence-based approach to course improvement is curriculum alignment, which evaluates the degree which the learning objectives, course content, and assessment methods are in agreement with each other. This provides instructors with a detailed view of their course and areas that need improvement. Current alignment processes are impractical for a course instructor to apply, requiring a panel of experts and training on the process. In this research, I developed a computer-assisted alignment process (CAAP) that uses the concept of traceability from software engineering, to define a process that is applicable by a single course instructor limiting the need for a panel of experts. In an initial application CAAP took 75 hours to apply, consequently a prototype alignment tool (AlignET) was designed to automates the new alignment process providing instructors with results they can use to make course improvements. I evaluated the practicality of AlignET by conducting collective case studies with four participants. Observations and interviews were used to collect data. AlignET reduced the time to complete CAAP to less than 11 hours and the participants identified course improvements, gaps in their instructional methods, and learning objectives they emphasized more than others. The findings from the case study presented key improvements to AlignET.

No description available.