3,164 research outputs found

    Graduate Catalog of Studies, 2023-2024

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    Graduate Catalog of Studies, 2023-2024

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    Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation.

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    The profession of architectural technology is influential in the transformation of the built environment regionally, nationally, and internationally. The congress provides a platform for industry, educators, researchers, and the next generation of built environment students and professionals to showcase where their influence is transforming the built environment through novel ideas, businesses, leadership, innovation, digital transformation, research and development, and sustainable forward-thinking technological and construction assembly design

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio

    Developing great teachers through professional development: a comparative international case study in England, Israel, South Korea, and Turkey

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    This comparative international case study explores teacher quality, that is, how teachers, who are regarded as great, train and develop. In particular, the thesis investigates ways in which participation in professional development programmes contributes to teachers’ professional knowledge and the personal virtues involved in teaching chemistry at secondary school level in England, Israel, South Korea, and Turkey as case study nations. The study employs a comparative case study approach. Empirical data collection was preceded by a document analysis and a comprehensive literature review which revealed three themes, namely community of practice, pedagogical content knowledge, and professional beliefs and virtues as impacting teachers in becoming great teachers. These themes were explored in practice utilising qualitative data collection methods, namely semi structured interviews with science teachers (mainly chemistry) who participated in professional development programmes and through observing lessons and professional development activities of teachers teaching science to 14-18-year-olds. Data was collected in South Korea, Israel, Turkey, and the United Kingdom (England) over a 1-year period. A volunteer sample of 40 science teachers (10 teachers for each country) were interviewed. Ten professional development activities were observed. The total length of observed PD activities was 1500 minutes. Nine science teachers were observed in four countries. The total length of observed lessons was 525 minutes. Four focus group interviews with the participation of 18 teachers were conducted. Thematic analysis was used to analyse the data. The data shows that great teacher appears differently in the four nations. A great teacher is identified variously as an amalgamation of a lifelong learner (South Korea), a moral exemplar (Turkey), a reflective practitioner (England), and an educator (Israel). Great teachers as lifelong learners promote students’ practical wisdom and wise decision-making ability, skills which are required to live a good life. Moral exemplars transmit their personal moral values to their students. Reflective practitioner teachers demonstrate intellectual and performance virtues in practice. As educators, great teachers motivate their students to be good human beings. The results of the study reveal that practical wisdom is an essential lens for making teachers educationally wise people. Great teacher is perceived to empower practical wisdom, which helps teachers establish mutual understanding and let them have more space to draw ii upon intellectual, social, moral and performance virtues through collaboration, mutual engagement and sharing in community of practice. The teachers in the study who participated in community-based professional development programmes enhanced the intellectual, moral, performance, and social virtues, pedagogical content knowledge associated with being a great teacher. The study finds that nations whose educational systems build strong connections between teachers through development and application of learning communities tend to generate a higher proportion of great teachers and that those teachers have positive and extensive influences on each other’s intellectual and personal development. This research also found that one of the most important dispositions that enable teachers to become responsible for students' learning is passion in science teaching. The teachers' passion, motivation, and love for teaching helped them to expand their professional knowledge and techniques of instruction in distinctive manners. The character traits that a great teacher must possess should receive a lot of consideration. Emphasise also should be on developing character strengths in the professional development. Community of practice has potential to achieve this through mutual engagement, shared repertoire and joint enterprise. The research emphasizes the vital role of teachers' passion for science teaching in enabling them to take responsibility for their students' learning. It advocates for the development of character strengths in teacher professional development, particularly through the cultivation of community of practice, characterized by mutual engagement, shared repertoire, and joint enterprise. This comparative study offers valuable insights into the dynamic interplay of teacher development, enhancing the quality of education across diverse contexts

    Opportunities and Challenges from Major Disasters Lessons Learned of Long-Term Recovery Group Members

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    Natural hazards caused by the alteration of weather patterns expose populations at risk, with an outcome of economic loss, property damage, personal injury, and loss of life. The unpredictability of disasters is a topic of concern to most governments. Disaster policies need more attention in aligning mitigation opportunities with disaster housing recovery (DHR). The effect of flooding, which primarily impacts housing in coastal areas, is one of the most serious issues associated with natural hazard. Flooding has a variety of causes and implications, especially for vulnerable populations who are exposed to it. DHR is complex, involving the need for effective coordination of resources, and labor. Understanding how the relationship between the build back better philosophy (i.e.: wherein the rebuild is intended to reduce future risk), the quality of the houses, and the income of the householder’s works is beneficial to prepare a resilient housing recovery plan. What are the main sources of obstacles experienced in the DHR process? How might outcomes be improved? This study attempts to answer those questions using data collection from Long-Term Recovery Group (LTRG) members in disaster areas. The analysis of LTRG member experiences provides a valuable perspective with the potential to improve the DHR process and mitigate future impacts. The goal is to understand and create awareness of factors impeding the recovery from previous disasters using the information obtained from the LTRG members to analyzed with various content analysis software to ascertain best practices to inform disaster policies for potential improvement of the recovery process. Using a content analysis technique provides a big picture of the main issues affecting the recovery. The key lessons learned from the LTRG members are that three major delay factors: planning, governance, and communication are impeding the improvement of the DHR process. It is essential to have an LTRG running before a disaster occurs -including a disaster plan focused on funding, labor, and resilient recovery. A more transparent governance – with some decentralization of the process, and more up-to-date disaster policies. A direct line of communication to overcome gaps including lack of communication and trusting in the process

    2023-2024 Catalog

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    The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation

    Microcredentials to support PBL

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    SUTMS - Unified Threat Management Framework for Home Networks

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    Home networks were initially designed for web browsing and non-business critical applications. As infrastructure improved, internet broadband costs decreased, and home internet usage transferred to e-commerce and business-critical applications. Today’s home computers host personnel identifiable information and financial data and act as a bridge to corporate networks via remote access technologies like VPN. The expansion of remote work and the transition to cloud computing have broadened the attack surface for potential threats. Home networks have become the extension of critical networks and services, hackers can get access to corporate data by compromising devices attacked to broad- band routers. All these challenges depict the importance of home-based Unified Threat Management (UTM) systems. There is a need of unified threat management framework that is developed specifically for home and small networks to address emerging security challenges. In this research, the proposed Smart Unified Threat Management (SUTMS) framework serves as a comprehensive solution for implementing home network security, incorporating firewall, anti-bot, intrusion detection, and anomaly detection engines into a unified system. SUTMS is able to provide 99.99% accuracy with 56.83% memory improvements. IPS stands out as the most resource-intensive UTM service, SUTMS successfully reduces the performance overhead of IDS by integrating it with the flow detection mod- ule. The artifact employs flow analysis to identify network anomalies and categorizes encrypted traffic according to its abnormalities. SUTMS can be scaled by introducing optional functions, i.e., routing and smart logging (utilizing Apriori algorithms). The research also tackles one of the limitations identified by SUTMS through the introduction of a second artifact called Secure Centralized Management System (SCMS). SCMS is a lightweight asset management platform with built-in security intelligence that can seamlessly integrate with a cloud for real-time updates

    Serverless Cloud Computing: A Comparative Analysis of Performance, Cost, and Developer Experiences in Container-Level Services

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    Serverless cloud computing is a subset of cloud computing considerably adopted to build modern web applications, while the underlying server and infrastructure management duties are abstracted from customers to the cloud vendors. In serverless computing, customers must pay for the runtime consumed by their services, but they are exempt from paying for the idle time. Prior to serverless containers, customers needed to provision, scale, and manage servers, which was a bottleneck for rapidly growing customer-facing applications where latency and scaling were a concern. The viability of adopting a serverless platform for a web application regarding performance, cost, and developer experiences is studied in this thesis. Three serverless container-level services are employed in this study from AWS and GCP. The services include GCP Cloud Run, GKE AutoPilot, and AWS EKS with AWS Fargate. Platform as a Service (PaaS) underpins the former, and Container as a Service (CaaS) the remainder. A single-page web application was created to perform incremental and spike load tests on those services to assess the performance differences. Furthermore, the cost differences are compared and analyzed. Lastly, the final element considered while evaluating the developer experiences is the complexity of using the services during the project implementation. Based on the results of this research, it was determined that PaaS-based solutions are a high-performing, affordable alternative for CaaS-based solutions in circumstances where high levels of traffic are periodically anticipated, but sporadic latency is never a concern. Given that this study has limitations, the author recommends additional research to strengthen it
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