Orientador: Dilson Amâncio Alves / Banca: Sergio Azevedo de Oliveira / Banca: Carlos Alberto Castro Júnior / Resumo: Este trabalho apresenta um programa interativo para a simulação do fluxo de potência e do fluxo de potência continuado. O programa foi desenvolvido no ambiente MATLAB e a simulação é realizada por meio de uma interface gráfica. A interface gráfica não só proporciona um bom desempenho computacional, mas também torna o programa mais amigável para o usuário. Através dela o usuário pode editar os arquivos de entrada e saída e visualizar e analisar os resultados obtidos diretamente na tela do computador. A partir do diagrama unifilar dos sistemas, a interface gráfica permite que o usuário: mude os parâmetros do sistema (dados de barras e de linhas de transmissão); remova uma linha de transmissão com um simples clicar sobre ela; visualize os perfis de tensão nas barras, e os fluxos de potência ativa e reativa nas linhas de transmissão. Todas estas características fazem do programa desenvolvido uma ferramenta recomendada para fins educacionais. / Abstract: This work presents an interactive computing program for power flow and continuation power flow simulations. The power flow and continuation power flow programs were developed in the MATLAB environment and the simulation is accomplished through a graphical user interface. The graphical user interface provides not only a good computational performance, but also an user-friendly teaching software. With the use of this interface the user can edit the input and output data files of the selected systems and can visualize and analyze the results of the program directly in the computer screen. Directly from the system one-line diagrams, the graphical user interface allows the user: to change the parameters of the system (bus and lines system data); to remove the transmission line clicking directly on it; to visualize the bus voltage profile, and the active and reactive power flows. All these characteristics make the developed program recommended for educational purposes. / Mestre

<p></p><p>In this dissertation, I argue that there is value in treating students as implementors during processes of educational innovation. I lay the groundwork for this argument through a review of literature comparing best practices in the implementation of innovations in higher education with best practices from active learning, blended learning, and collaborative learning research. This is followed by a phenomenographic and narrative analysis: a deliberate combination of phenomenography and narrative analysis methods for the interpretation of data and representation of findings, leveraging the strengths of each approach to account for the other’s shortcomings. The result of this work is an outcome space containing a hierarchical framework typical of phenomenography describing the various ways in which the participating students experienced implementation within the context of a blended learning environment called <i>Freeform</i>. The presentation of this framework is followed by a series of constructed narratives which contextualize how the hierarchical framework may be evidenced in student experiences of implementation in higher education. </p> <p><br></p><p>The hierarchical framework contains six categories of description: Circumstantial Non-Adoptive, Circumstantial Adoptive, Preferential Non-Adoptive, Preferential Adoptive, Adaptive, and Transformative. Proceeding from Circumstantial Non-Adoptive and Circumstantial Adoptive to Transformative, each subsequent category of the model characterizes implementation experiences that are increasingly impacted by students’ own self-awareness of their personal learning needs and subsequent self-directed learning behavior. This represents a departure from previous implementation research in engineering education for a number of reasons. First, it demonstrates that there is value in considering students’ roles as implementors of educational innovations, rather than tacitly treating them as subjects to be implemented upon. Second, the use of the word “circumstantial” intentionally acknowledges that the external (environmental) factors that influence implementation can be distinct to individual implementors while remaining contextual in nature. Third, it demonstrates that the processes of implementation which students undergo can lead to concrete changes in learning behavior that extend beyond the scope of the implementation itself.</p><p><br></p><p>Narrative analysis is used to develop a series of narratives that embody the implementation experiences communicated by student participants. These narratives are constructed using disparate ideas, reflections, and tales from a variety of participants, emplotting representative characters within constructed stories in a way that retains the student perspective without adhering too closely to any individual participant’s reported experience. This approach serves two goals: to encourage readers to reflect on how the categories of the hierarchical framework can be demonstrated in students’ experiences, and to reinforce the fact that individual students can exhibit implementation experiences and behaviors that are characteristic of multiple categories of the framework simultaneously. It is important to remember that the categories included in the framework are not meant to characterize students themselves, but rather to characterize their interactions with specific pedagogical innovations. </p><p></p><p> </p><p><br></p><p>The study concludes by interpreting these results in light of literature on implementation and change, proposing new models and making suggestions to faculty to inform the future implementation of educational innovations. Faculty are encouraged to treat students as implementors, and to exercise best practices from implementation literature when employing educational innovations in the classroom. This includes adopting practices that inform, empower, and listen to students, intentionally employing strategies that allow students to exercise their own agency by understanding and utilizing innovations effectively. Prescribing specific innovations and forcing students to use them can be detrimental, but so can freely releasing innovations into the learning environment without preparing students in advance and scaffolding their resource-usage behaviors. Instructors and researchers alike are encouraged to consider implementation from a new perspective, students as implementors, and faculty as facilitators of change. </p><p><br></p>

Estimates of “Street Youth” (SY) (those who live/work on the streets) show 150 million around the world, with approximately 50,000 in Kenya alone as of 2018. Challenges these youth face remain a significant barrier to national governments achieving Sustainable Development Goal 4 (Quality Education) targets, as formal schools limit access or fail to provide meaningful and supported learning experiences for SY. However, informal learning spaces that empower youth to solve problems themselves may provide them with the knowledge and skills they are denied by formal schools. SY rescue, rehabilitation, and reintegration centers all around the world emphasize and place education at the center of their operations. Recommendations for educational services for SY include providing flexible, alternative education and skills training for youth unable or unwilling to return to school. However, the lack of skilled professionals working with the SY population is one of the most critical challenges.<div>To meet the learning needs of vast numbers of SY, teachers already connected to this population must be trained in teaching more empowering, skill-based courses such as engineering, which are typically complex. Such innovative, problem-centered curricula demand skilled teachers who are prepared to facilitate a more student-centered classroom. However, sub-Saharan Africa faces a shortage of 17 million formally qualified teachers, even for its formal public schools. Therefore, connecting with the teachers in the context and training them in engineering teaching is crucial. Researchers have long argued the need for teacher professional development to be continuous and long-term. Through this dissertation, I present a Design-Based Research (DBR) study of untrained Teacher Professional Development (TPD) in collaboration with three aspiring engineering teachers at an alternative school for SY in western Kenya. I draw on the theoretical framework of Situated Learning and Communities of Practice (CoP) to discuss the outcomes of a three-phase professional development program. Each phase was designed using the recommendation from McKenney et al. (2006) to include three iterative micro-cycles of analysis, design, and evaluation leading to a meso-cycle. In total, three meso-cycles were completed to arrive at DBR’s final phase of reflection and generation of design principles.<br></div><div>In the first phase, teachers in this study adopted reflective practice strategies to increase their awareness of the practice. Analysis from the study showed that the teachers individually and collectively showed resilience to challenging and complex experiences by establishing a strong foundation for the community of practice. In the second phase, teachers engaged in action research to improve both teaching and learning outcomes. Results demonstrated increased active participation of the teachers in their teaching practice, and developed new understandings of engineering teaching. However, the first two studies also showed the challenges limiting the teachers from constructing an engineering teacher identity and unresolved questions about the sustainability of the TPD. Therefore, in the last phase, the teachers adopted mentoring new teachers as a strategy to develop their identities and sustain the engineering TPD.<br></div><div>The findings from the three phases resulted in generation of design outcomes that include a situated understanding of the theory in this fragile context and design principles that are transferable in comparable settings. Implications of this work suggest a sustainable teacher professional development model for untrained engineering teachers in fragile contexts and present relevant design principles for the CoP.<br></div>

<p>The Theory of Applied Mind of Programming (TAMP) provides a new model for describing how programmers think and learn. Historically, many students have struggled when learning to program. Programming as a discipline lives in logic and reason, but theory and science tell us that people do not always think rationally. TAMP builds upon the groundbreaking work of dual process theory and classical educational theorists (Piaget, Vygotsky, and Bruner) to rethink our assumptions about cognition and learning. Theory guides educators and researchers to improve their practice, not just their work but also their thinking. TAMP provides new theoretical constructs for describing the mental activities of programming, the challenges in learning to program, as well as a guidebook for creating and recognizing the value of theory.</p> <p>This dissertation is highly nontraditional. It does not include a typical empirical study using a familiar research methodology to guide data collection and analysis. Instead, it leverages existing data, as accumulated over a half-century of computing education research and a century of research into cognition and learning. Since an applicable methodology of theory-building did not exist, this work also defines a new methodology for theory building. The methodology of this dissertation borrows notation from philosophy and methods from grounded theory to define a transparent and rigorous approach to creating applied theories. By revisiting past studies through the lens of new theoretical propositions, theorists can conceive, refine, and internally validate new constructs and propositions to revolutionize how we view technical education.</p> <p>The takeaway from this dissertation is a set of new theoretical constructs and promising research and pedagogical approaches. TAMP proposes an applied model of Jerome Bruner's mental representations that describe the knowledge and cognitive processes of an experienced programmer. TAMP highlights implicit learning and the role of intuition in decision making across many aspects of programming. This work includes numerous examples of how to apply TAMP and its supporting theories in re-imagining teaching and research to offer alternative explanations for previously puzzling findings on student learning. TAMP may challenge conventional beliefs about applied reasoning and the extent of traditional pedagogy, but it also offers insights on how to promote creative problem-solving in students. </p><br>

Grades serve as one of the primary indicators of student learning, directing subsequent actions for students, instructors, and administrators, alike. Therefore, grade validity—that is, the extent to which grades communicate a meaningful and credible representation of what they purport to measure—is of utmost importance. However, a grade cannot be valid if one cannot trust that it will consistently and reliably result in the same value, regardless of who makes a measure or when they make it. Unfortunately, such reliability becomes increasingly challenging to achieve with larger class sizes, especially when utilizing multiple evaluators, as is often the case with mandatory introductory courses at large universities. Reliability suffers further when evaluating open-ended tasks, as are prevalent in authentic, high-quality engineering coursework.<div><br></div><div>This study explores grading reliability in the context of a large, multi-section engineering course. Recognizing the number of people involved and the plethora of activities that affect grading outcomes, the study adopts a systems approach to conduct a human reliability analysis using the Functional Resonance Analysis Method. Through this method, a collection of data sources, including course materials and observational interviews with undergraduate teaching assistant graders, are synthesized to produce a general model for how actions vary and affect subsequent actions within the system under study. Using a course assignment and student responses, the model shows how differences in contextual variables affect expected actions within the system. Next, the model is applied to each of the observational interviews with undergraduate teaching assistants to demonstrate how these actions occur in practice and to compare graders to one another and with expected behaviors. These results are further related to the agreement in system outcomes, or grades, assigned by each grader to guide analysis of how actions within the system affect its outcome.<br></div><div><br></div><div>The results of this study connect and elaborate upon previous models of grader cognition by analyzing the phenomenon in engineering, a previously unexplored context. The model presented can be easily generalized and adapted to smaller systems with fewer actors to understand sources of variability and potential threats to outcome reliability. The analysis of observed outcome instantiations guides a set of recommendations for minimizing grading variability.<br></div>

<p>Socioeconomic inequality unduly impacts the pathways of socioeconomically disadvantaged students (SDS) in engineering. Past and present scholarship suggests that inequitable access to physical and interpersonal resources inhibits K-16+ students' ability to engage in Science, Technology, Engineering, and Mathematics (STEM) meaningfully. This lack of access negatively impacts SDS' pursuit of, and success in, engineering. Thus far, quantitative studies seeking to understand SDS' trajectories to and through engineering have used income as a proxy for socioeconomic disadvantage. However, such measures are not theoretically positioned to accurately depict or account for the complex sociological processes that lead to, or result from, socioeconomic inequality. Furthermore, such measures do not account for parallel inequalities such as racism, sexism, and classism that exist, influence, and are influenced by it. Therefore, the purpose of this work was to 1) develop a more sociologically accurate measure of socioeconomic inequality, 2) to use that measure to identify the impacts of such inequality on SDS' pathways to and through engineering, and finally, 3) to explore the narrative experiences of SDS when accounting for a more accurate depiction. Using a Critical Realist Feminist approach to structural equation modeling, restricted data from the National Center for Education Statistics’ Educational Longitudinal Study of 2002 (ELS:2002) as well as other supplemental data were used to construct and test a more complex and representative measure of socioeconomic disadvantage, the Model of Socioeconomic Inequality (Study 1). Study 2 used this model to examine how aspects predicting important engineering student outcomes. Neighborhood location and conditions, level of Parent Educational Involvement, and availability of Household Educational Resources negatively impact SDS' opportunities to engage and succeed in engineering and college more broadly. Furthermore, the model suggested that such interactions are uniquely mediated by the intersectional inequalities experienced by SDS and their families. Finally, a rich narrative of one student, Samantha, is included to better understand the lived experiences of SDS amongst their pathways to and through engineering. Samantha was a Queer Asian American female SDS graduating from Computer Science Engineering who has low scores on Parent Educational Involvement and Household Educational Resources. Samantha's narrative shows the important role that the factors identified in the Model of Socioeconomic Inequality had in her experiences. Specifically, Samantha had little access to Parent Educational Involvement and Household Educational Resources from her parents. Rather, these forms of support came from what she referred to as her ``chosen family,'' a group of professors, co-workers, friends, and others who viewed and supported her identity authentically and provided her physical resources when she needed them. Access to this group and the resources they provided supported Samantha's belonging and her ability to succeed in engineering. However, Samantha's narrative also uncovered findings not included in the Model of Socioeconomic Inequality. Specifically, Samantha's narrative suggested she had experienced significant, long-term traumas that were both related and unrelated to her socioeconomic experiences. These traumas negatively impacted Samantha's feelings of belonging and caused her to question her place in engineering, but they were partially mitigated by the support of her chosen family. This three-study dissertation challenges current engineering education thinking regarding the knowledge and study of socioeconomics, trauma, and Intersectionality more broadly. It also challenges engineering education researchers and practitioners to question the current methods of how they support SDS in a multitude of spaces.</p>

<p>Makerspaces can support educational experiences in prototyping for young learners, while physical computing platforms enable high levels of creativity and expression. However, each of these have high barriers of entry, especially for youth without prior experience. Commercial microcontrollers have become a popular tool to use when designing both basic and complex electro-mechanical devices. Block-based programming interfaces are an ideal environment to program these microcontrollers, lowering the barrier of entry for young, novice programmers. Finally, incorporating physical computing devices alongside Augmented Reality (AR) presents opportunities for shared experiences between users, leading to more engagement, which creates opportunities for social interaction, ideation, and creativity. This thesis presents the MakAR project, which aims to empower youth to design, build, and play through interactions with AR, physical prototyping, and the Internet of Things (IoT). We sought to design an interactive system with which we can (1) explore novel interactions between physical and virtual content, (2) lower the barrier to entry for young makers to design, build, and play with DIY electro-mechanical devices, and (3) engage and collaborate with one another both virtually and physically in an AR-IoT environment. Our results provide evidence to how our system enables youth, with and without prior experience with physical computing, to both engage and struggle with designing AR-IoT interactions while using our system, helps reduce the barrier to entry for young users to create complex electro-mechanical devices, and provides unique shared AR-IoT experiences for both novices and expert users.</p>

Engineering students entering the workforce often struggle to meet the competency expectations of their employers. Guided by constructivist theory, the purpose of this case study was to understand engineers' experiences of engineering education, deficiencies in practical skills, and the self-learning methods they employed to advance their technical and professional competencies. Working engineers were asked about their experiences overcoming practical skill deficiencies and bridging the gap between education and practice. Interviews with 15 chemical, civil, mechanical, and electrical engineers were analyzed by coding for common statements and identifying themes. Firsthand experiences of the participants captured 3 themes: overall perceptions of engineering education, deficiencies in skills, and self-learning experiences. According to study findings, engineering education did not supply sufficient practical skills for working engineers. The study also provided descriptions of training and self-learning methods employed by practicing engineers to advance their technical and professional competencies. The study found that although universities might provide some practical skills through industry collaboration, engineering graduates still required professional development to ensure a smooth transition from academic learner to acclimated working engineer. The project is a practical training, developed for recent graduates, that could achieve positive social change by making strides toward bridging the gap between theory and practice for the participants. This study may also incite positive social change as it contributes to the evidence that there is a lack of practical experience in colleges of engineering, which may therefore improve their curriculum.

To provide a basis for the development of interaction curves for tubular beam-columns of annular cross section, a general purpose beam-column computer program is developed, and used to determine ultimate load capacities. The paper presents the analytical model and the computer method. The analytical results are compared with published test data as well as experimental data obtained as part of this project.

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