Enhancing Institutional Assessment and Reporting Through Conversational Technologies: Exploring the Potential of AI-Powered Tools and Natural Language Processing

This study explores the potential of conversational technologies, AI-powered tools, and natural language processing (NLP) in enhancing institutional assessment and reporting processes in higher education. The traditional approach to assessment often involves labor-intensive manual analysis of extensive data and documents, which burdens institutions. To address these challenges, AI-powered tools, such as ChatGPT, LangChain, Poe, Claude, and others, along with NLP techniques, are investigated in relationship to their ability to improve institutional assessment practices and output. By leveraging these advanced technologies, assessment officers and institutional effectiveness, researchers can engage in dynamic conversations with data, transforming spreadsheets and documents from static artifacts into interactive resources. These tools streamline communication, collaboration, and decision-making processes, empowering committees and working groups to achieve their goals effectively. Additionally, the potential applications of NLP in analyzing vast amounts of institutional data, including student feedback, faculty evaluations, and institutional documents, shall be discussed. Language models enable the extraction of meaningful insights from unstructured data sources, facilitating real-time decision-making processes. Ethical considerations related to data privacy, mining, and compliance with regulations like FERPA are crucial aspects addressed in this study. The contribution of this research lies in uncovering the transformative impact of conversational technologies, AI-powered tools, and NLP techniques on institutional assessment and reporting. By embracing these advancements responsibly and ensuring alignment with ethical principles, institutions can unlock the full potential of these tools, facilitating more efficient, data-driven decision-making processes in higher education. The study showcases how conversational technologies, AI-powered tools, and NLP techniques offer new possibilities for improving institutional assessment and reporting practices. By integrating these technologies responsibly and addressing ethical considerations, institutions can enhance their assessment processes and make more informed decisions based on comprehensive, real-time insights

An audit model for safety-critical software

Atualmente o uso de software considerados complexos e críticos está crescendo em diversos setores da indústria como a aeronáutica com seus diversos sistemas embarcados em aeronaves e a médica com seus dispositivos médicos cada vez mais avançados. Devido a isso, a quantidade de standards dedicados a esse tipo de desenvolvimento está crescendo nos últimos anos e autoridades regulamentadoras estão reconhecendo a sua aplicabilidade e, em alguns casos, tornando como parte dos requisitos obrigatórios de certificação ou aprovação. O intuito de uma auditoria de software é verificar que o software desenvolvido está de acordo com a norma aplicável, no entanto os modelos existentes não permitem o auditor ter a flexibilidade de adequar o modelo de auditoria às suas necessidades. Como parte dessa pesquisa, diferentes modelos de desenvolvimento software foram considerados, bem como standards da área aeronáutica (RTCA DO-178C) e área médica (IEC 62304) foram estudados quanto as suas recomendações e requisitos para desenvolvimento de software safety-crítico. Como objetivo dessa dissertação, um modelo de auditoria de software foi proposto com as atividades que são necessárias para a condução de auditoria de software safety-crítico, permitindo ao auditor aplicar o modelo de acordo com as atividades que precisam ser auditadas, dando a flexibilidade necessária para o escopo da auditoria, bem como um conjunto de perguntas para a auditoria de software desenvolvido utilizando RTCA DO-178C e IEC 62304 foi sugerido e avaliado por especialistas de software para garantir a maturidade e eficiência das perguntas propostas. Além da avaliação das perguntas, também foi conduzido um estudo de caso, em uma empresa aeroespacial, com duas instanciações para avaliar a maturidade do modelo de auditoria de software proposto.Nowadays, the use of software considered complex and critical is growing in several industry sectors, such as aeronautics with its various systems embedded in aircraft and the medical one with its increasingly advanced medical devices. Because of this, the number of standards dedicated to this type of development is growing in recent years, and regulatory authorities are recognizing its applicability and, in some cases, making it part of the mandatory certification requirements or approval. The software audit intent is to verify that the software developed complies with the applicable standard. However, the existing audit models do not allow the auditor to tailor the audit model to its audit necessities. As part of this research, the various software development models were considered, and standards in the aeronautical (RTCA DO-178C) and medical (IEC/ISO 62304) areas were studied regarding their guidelines and requirements for safety-critical software development. This thesis aims to propose a software audit model with the activities necessary for conducting a safety-critical software audit, giving the auditor the necessary flexibility in the audit execution without the need to achieve specific predetermined milestones. Additionally, a set of questions for software auditing developed using RTCA DO-178C and IEC 62304 has been suggested and evaluated by software experts to ensure the maturity and efficiency of the proposed questions. In addition to evaluating the questions, a case study was also conducted in an aerospace company, with two instances to evaluate the proposed software audit model’s maturity.Não recebi financiament

Grand Challenges of Traceability: The Next Ten Years

In 2007, the software and systems traceability community met at the first Natural Bridge symposium on the Grand Challenges of Traceability to establish and address research goals for achieving effective, trustworthy, and ubiquitous traceability. Ten years later, in 2017, the community came together to evaluate a decade of progress towards achieving these goals. These proceedings document some of that progress. They include a series of short position papers, representing current work in the community organized across four process axes of traceability practice. The sessions covered topics from Trace Strategizing, Trace Link Creation and Evolution, Trace Link Usage, real-world applications of Traceability, and Traceability Datasets and benchmarks. Two breakout groups focused on the importance of creating and sharing traceability datasets within the research community, and discussed challenges related to the adoption of tracing techniques in industrial practice. Members of the research community are engaged in many active, ongoing, and impactful research projects. Our hope is that ten years from now we will be able to look back at a productive decade of research and claim that we have achieved the overarching Grand Challenge of Traceability, which seeks for traceability to be always present, built into the engineering process, and for it to have "effectively disappeared without a trace". We hope that others will see the potential that traceability has for empowering software and systems engineers to develop higher-quality products at increasing levels of complexity and scale, and that they will join the active community of Software and Systems traceability researchers as we move forward into the next decade of research

Grand Challenges of Traceability: The Next Ten Years

In 2007, the software and systems traceability community met at the first Natural Bridge symposium on the Grand Challenges of Traceability to establish and address research goals for achieving effective, trustworthy, and ubiquitous traceability. Ten years later, in 2017, the community came together to evaluate a decade of progress towards achieving these goals. These proceedings document some of that progress. They include a series of short position papers, representing current work in the community organized across four process axes of traceability practice. The sessions covered topics from Trace Strategizing, Trace Link Creation and Evolution, Trace Link Usage, real-world applications of Traceability, and Traceability Datasets and benchmarks. Two breakout groups focused on the importance of creating and sharing traceability datasets within the research community, and discussed challenges related to the adoption of tracing techniques in industrial practice. Members of the research community are engaged in many active, ongoing, and impactful research projects. Our hope is that ten years from now we will be able to look back at a productive decade of research and claim that we have achieved the overarching Grand Challenge of Traceability, which seeks for traceability to be always present, built into the engineering process, and for it to have "effectively disappeared without a trace". We hope that others will see the potential that traceability has for empowering software and systems engineers to develop higher-quality products at increasing levels of complexity and scale, and that they will join the active community of Software and Systems traceability researchers as we move forward into the next decade of research

Climbing the Maturity Ladder in Industry 4.0: A Framework for Diagnosis and Action that Combines National and Sectorial Strategies

We present a framework to assist Industry 4.0 initiatives at countrywide and sector-specific levels. It was created using design-science research in the context of non-metal mineral industry - ceramic, glass, stone, and nanomaterials. Our findings suggest that (1) existing maturity models for Industry 4.0 do not fit all industrial contexts; (2) their use can be discouraging for small and medium-size enterprises planning digital strategies; (3) Industry 4.0 technologies should be considered as prescriptive solutions rather than descriptive dimensions, and (4) it is possible and desirable to consider Industry 4.0 maturity as a co-evolutionary growth of digital services and processes within supply chains. Our proposal provides staged and continuous representations of maturity that can be tailored for each industry. Maturity models can be a prime communication tool for managers and technology providers. Our contribution supports the European efforts to succeed in the Fourth Industrial Revolution, shared by millions of industries worldwide

Influence of Artifact Removal on Rare Species Recovery in Natural Complex Communities Using High-Throughput Sequencing

Large-scale high-throughput sequencing techniques are rapidly becoming popular methods to profile complex communities and have generated deep insights into community biodiversity. However, several technical problems, especially sequencing artifacts such as nucleotide calling errors, could artificially inflate biodiversity estimates. Sequence filtering for artifact removal is a conventional method for deleting error-prone sequences from high-throughput sequencing data. As rare species represented by low-abundance sequences in datasets may be sensitive to artifact removal process, the influence of artifact removal on rare species recovery has not been well evaluated in natural complex communities. Here we employed both internal (reliable operational taxonomic units selected from communities themselves) and external (indicator species spiked into communities) references to evaluate the influence of artifact removal on rare species recovery using 454 pyrosequencing of complex plankton communities collected from both freshwater and marine habitats. Multiple analyses revealed three clear patterns: 1) rare species were eliminated during sequence filtering process at all tested filtering stringencies, 2) more rare taxa were eliminated as filtering stringencies increased, and 3) elimination of rare species intensified as biomass of a species in a community was reduced. Our results suggest that cautions be applied when processing high-throughput sequencing data, especially for rare taxa detection for conservation of species at risk and for rapid response programs targeting non-indigenous species. Establishment of both internal and external references proposed here provides a practical strategy to evaluate artifact removal process

Building Community Sustainability with Geographic Information Systems

Conceptualization of Green IS must look beyond the limited horizon of profit-driven corporate sustainability to reframe the activities and policies of communities to produce adaptable, sustainable, and resilient practices. As web-enabled Geographic Information Systems (GIS) and low cost spatial analytic systems become accessible, communities gain a generative capacity to pursue community sustainability as they face increasing environmental and growth challenges. By expanding the boundaries of Design Science Research, we argue that information systems have a generative capacity, which enables reframing and recasting reality based upon alternative values. This surfaces the opportunity for the design and implementation of GIS to reduce information asymmetry, empower communities, and provide a history of decision-making, thereby enabling monitoring of the components of sustainability. Community members may incorporate local data, present alternative development/conservation scenarios, and gain a voice in the planning process. From this perspective the system design process itself represents an opportunity for situated social action in the formation and implementation of community values. Synthesizing these perspectives, we propose that GIS development and use at a community level is a potentially constructive social process of value formation which can enable communities to envision their own futures

Transforming Educational Landscapes: How Student Choice Influences Achievement, Engagement, And Instructional Objectives

This case study addresses how to invigorate student motivation and engagement, which suffered a serious decline after an extended period of remote learning due to COVID-19. Conventional teaching methods have demonstrated shortcomings in meeting these challenges, so this research highlights the potential efficacy of student choice in reshaping educational dynamics and improving scholastic achievement. Utilizing a case study research approach, this investigation was conducted in an International Baccalaureate (IB) private school in Munich, Germany. Data was aggregated from a sample of 89 students, aged 12 to 14 years, from four Grade 7 humanities classes.Student choice was introduced to the curriculum content and assessments iteratively, gradually increasing the level of student autonomy. Teacher feedback, student academic records, and the scope and sequence furnished a robust matrix for analysis. Supplementing the analysis of student marks, a survey provided nuanced insights from educators. Additionally, a comparative analysis of the scope and sequence from a similar school served as a comparison group. This study manifested an average of 22% gains in student academic marks and fostered a more collaborative and co-determined learning environment, where the gap between teacher and student roles diminished. The insights gained underscore the potential of embedding student choice within pedagogical frameworks to significantly elevate student motivation, engagement, and academic achievement without reducing instructional rigor