Homework answers / question archive / Rubric for Literature Review Organization Choice of Topics Mechanics No Present Emerging Approaches Expectations Meets Expectations Exceeds Expectations 0 points 10 points 12 points 14 points 15 points Literature review funnel attempts to be organized in a scholarly writing style (funnel, topical, chronological, etc

Rubric for Literature Review Organization Choice of Topics Mechanics No Present Emerging Approaches Expectations Meets Expectations Exceeds Expectations 0 points 10 points 12 points 14 points 15 points Literature review funnel attempts to be organized in a scholarly writing style (funnel, topical, chronological, etc

Sociology

Share With

Rubric for Literature Review Organization Choice of Topics Mechanics No Present Emerging Approaches Expectations Meets Expectations Exceeds Expectations 0 points 10 points 12 points 14 points 15 points Literature review funnel attempts to be organized in a scholarly writing style (funnel, topical, chronological, etc.) Literature review funnel is somewhat organized in a scholarly writing style (funnel, topical, chronological, etc.) Literature review funnel is organized in a scholarly writing style (funnel, topical, chronological, etc.) Literature review funnel is professionally organized in a scholarly writing style (funnel, topical, chronological, etc.) 18 points 20 points 23 points 25 points Topics listed on literature review attempt to support the overall research goal of the literature review. Topics listed on literature review somewhat logically support the overall research goal of the literature review. Topics listed on literature review logically support the overall research goal of the literature review. Topics listed on literature review logically support the overall research goal of the literature review at the level of dissertation seminar quality. 5 points 7 points 9 points 10 points Needs significant improvement in skills associated formatting, grammar, spelling, syntax, and use of numbers. Needs minor improvement in skills associated with formatting, grammar, spelling, syntax, and use of numbers. Demonstrates acceptable skills associated with formatting, grammar, spelling, syntax, and use of numbers. Demonstrates a professional level of skills associated with formatting, grammar, spelling, syntax, and use of numbers. 0 points 0 points Meets Expectations - LOW Literature Review Funnel Research Question: Is there a significant difference between the level of Response to Intervention and the achievement level of middle school mathematics students on the Tennessee Comprehensive Assessment Program (TCAP) test in a semi-rural school system in northeast Tennessee? 1. Introduction 2. Shift in Accountability for Education 3. 4. 5. 6. a. A Nation at Risk b. No Child Left Behind c. Race to the Top d. Tennessee’s First to the Top Theoretical Framework a. Mastery Learning b. Individualized Instruction Methods for Testing Accountability a. Tennessee Comprehensive Assessment Program b. Tennessee Value-Added Assessment System Response to Intervention a. History b. Diagnostic Screeners (STAR testing) c. Application of intervention d. Increasing Achievement Gap Summary Branham’s Research Funnel- Week 6 Meets Expectations - High Research Question: What are the correlations between effective leadership and student achievement? ? Overview of Leadership & Role of Leader (definitions/expectations over the past 100 years) ? 1965 Elementary and Secondary Education Act (ESEA) of 1965 brings education to the forefront ? 1980’s “A Nation at Risk” (Regan) - Additional Accountability ? 2002+ “The No Child Left Behind Act - Assessment & Accountability ? 2010+ “Race to the Top” (Obama) - College/Career Readiness & Accountability Narrow Categories?: Modern days ? How did these directives from the federal government change education in Virginia? ? What was their impact on VA leaders? Students? ? Did these change how principals led? Supported instruction? Supported teachers? Supported students? Specific Categories:? Recent Days ? 1980+ - High stakes testing - Virginia Standards of Learning (rigor of tests increased in 1995; testing began in 1998) ? 2002+ - Equitable access for students - change in accountability for school leaders and teachers (NCLB) ? 2006+ - Board of Education (Gov Kaine)- Included graduation as an accountability factor for school accreditation ? 2009+ - Board shifts to college/career-ready Math, Science, Social Studies SOLs (response to “Race to the Top”) Most Specific and Similar Studies: Effects of leadership on student achievement ? What are the ?causes? of effective leadership in general? ? What are the ?causes? of student achievement? How does leadership affect student achievement? Exceeds Expectations Research Funnel Research Question: What causes a data breach and how financial organizations can protect themselves from a breach Background or Distantly Related Work: Early Ages ? ? ? ? ? 1991 - Privacy in the information economy: A fortress or frontier for individual rights 1998 - Warming up to Credit Freeze Laws: The Case of Utah 1999 - The death of privacy 2003 - Personal Finance 2003 - Privacy Protection for Customer Financial Information Narrow Categories that are closer to the work you are doing: Modern days ? ? ? ? Data breaches and identity theft: When is mandatory disclosure optimal? The data game: Learning to love the state-based approach to data breach notification law Secure my data or pay the price: Consumer remedy for the negligent enablement of data breach Market price effects of data security breaches Specific Categories: Recent Days ? ? ? ? ? The target and other financial data breaches: Frequently asked questions The impact of repeated data breach events on organizations’ market value Data breach trends in the United States Corporate Directors' and Officers' Cybersecurity Standard of Care: The Yahoo Data Breach Market level consequences of information breach and effectiveness of crisis recoveries Most Specific and Similar Studies: ? Market level consequences of information breach and effectiveness of crisis recoveries ? Improving smartphone permission access disclosures Approaches Expectations - High Literature Review Funnel Broad TerritorySub TerritoryBuild a NicheOccupy the NichePuzzle- Research Question- Good reference list Why the need for grading practices? but lack of detail in What is SBG? actual funnel Benefits and Draw backs of SBG Why the need for the change? Non-academic factors Traditional Grading How to effective implement SBG? What tools and resources are needed for SBG? Proficiency scales, 4DX goal setting, common assessments, How has the change from traditional grading methods to standards based grading affected Middle School students? Possible Reference sources: Carberry, A.R., Siniawski M.T, and Dionisio J. D. N., (2012)."Standards-based grading: Preliminary studies to quantify changes in affective and cognitive student behaviors," 2012 Frontiers in Education Conference Proceedings, Seattle, WA, pp. 1-5 Eccles, J.S. 2005."Subjective task value and the Eccles et al. model of achievement-related Choices." In Elliot and Dweck (eds.). The Handbook of Competence and Motivation. New York, NY: Guilford Press, pp. 105-121 Townsley, M. (2019). Considering Standards-Based Grading: Challenges for Secondary School Leaders. Journal of School Administration Research and Development, 4(1), 35–38. Wormeli, R. (2011). Redos and retakes done right. Educational Leadership, 69(3), 22-26. Cyber Security in Healthcare Research topic: Enhancing Cyber Security in Healthcare -With the Help of Machine Learning Research question: How can machine learning help to improve and protect cybersecurity in learning? Cybersecurity in health care involves protecting medical information, technologies, and new medical processes by introducing programs, data, and devices from unauthorized access. Over the years, technology has improved, which has significantly impacted many national sectors. For instance, in healthcare, cybersecurity has played an essential role in its improvement; not only has it helped the organization protect its patient safety and security, but it has also ensured that it is effective and quality health care to every patient. Health care organizations are more vulnerable and are significantly targeted by cyber-attack because they have expensive information and high intelligence value. Health care organizations have essential information such as patients' protected health care information, personal identification information, for example, intellectual properties, social security number, and financial information like credit card and bank accounts' numbers; this are data that are highly targeted by the cyber attacker (Tschider el at 2017). Hacking health care records causes high risks to patients' privacy, safety, and care delivery. For these reasons, health care organizations need to develop machine learning that will improve and provide cybersecurity. Machines' learning means giving computers the ability to access security threats in your organization and focus on valuable and strategic tasks. Medical organizations can enhance cybersecurity in health care with the help of machine learning in the following ways. First, machine learning has algorithms that detect hackers faster through agency networks and stops attacks; this protects health care organizations from cyber-attack and hacking of important information. Secondly, machine learning help health analyst to detect seizures, analyze networks protection of endpoints and protect vulnerable information from being assessed. Machine learning systems filter data and go through human analyst and gives alert in case of attacks. Additionally, machine learning detects repetitive tasks; this ensures that the staff focuses on more crucial work and focuses on high-value decision-making activities. Machine learning can protect many health organizations from cyber-attacking actions. Reference Tschider, C. A. (2017). Enhancing cybersecurity for the digital health marketplace. Annals Health L., 26, 1. The Impacts of Digital Technology on Creative Economy 1 The Impacts of Digital Technology on Creative Economy Chapter 1 Overview The fourth industrial revolution has ushered in a new paradigm shift. In other words, it has led to the globalization of the world. For instance, the emergence of internet-based innovations (digital technologies) has interconnected global markets, thus, revolutionizing various sectors of the economy. Moreover, internet-based innovation has brought with it innovations that have The Impacts of Digital Technology on Creative Economy 2 cannibalized old ways of doing things. Different sectors of the economy have experienced historic transformation as a result of internet-based innovations. For instance, in the creative economy, the convergence of internet-based and creative economies has revolutionized the creative economy with a disruptive effect. The convergence of digital technologies and the creative economy is having a disruptive effect on society in ways that would have seemed hypothetical. We are witnessing the emergence of a Fourth Industrial Revolution where technology is more accessible, more widely used, and more seamlessly integrated than ever (World Economic Forum. p.4, 2018). As a result, the creative economy has been amalgamating digital technologies such as artificial intelligence (AI), blockchain, and augmented and virtual reality to remain resilient in the market. Literature review on the impact of digital technology on the creative economy echoes a wealth of essential considerations. For this reason, the study consideration includes: Exploring the impact of digital technologies on the production of the creative economy (Hearn, 2020), how consumption and dissemination of creative content might change, and how these impacts will transform society (Kabanda, 2016). Yet, there is a lacuna of digital technologies' effects on creative economies, despite digital technologies transforming consumption, distribution, and production of creative economies at an unprecedented level. Background and Problem Statement It is vital to note that traditional production, distribution, and consumption of creative economy were more basic, cumbersome to operate, and less specific. In contrast, digital innovations in the creative industry are tailored to the clients' particular needs, and the equipment of production is light. Also, the mode of consumption of creative economy products has been The Impacts of Digital Technology on Creative Economy 3 democratized in the sense that you consume creative economy products from your smartphone, laptop that is watching on the go, unlike the traditional form of consumption which was limited to geographical and time. For example, Production equipment for creative economy fashion in shades of high definition equipment's which are lighter and affordable. This has led to the democratization of the production of the creative economy. However, although there is a great deal of analysis and examination on the impact of digital technology on the creative economy. In recent years "many traditional forms of consumption, distribution, and production have been faced by stiff competition. Others have been completely cannibalized technologies such as DVD in the film and music industry" (Crisp, 2015 p.78). Hence, over the past decade, the scrabble to manage the digital future of the creative economy has fueled both transformation and turmoil, compelling creative industry leaders to reconsider traditional maxims about how the creative industry is produced, circulated, and consumed. It is against this backdrop of current disruption in the creative economy landscape brought by digital innovations that the study is anchored in. Indeed, creative economies circulation and consumption have experienced a veritable revolution, overthrowing convectional business modes and cultural hierarchies. The disruption of digital innovations has been exemplified by the widespread application of digital innovations in the creative economy (World Economic Forum, 2018). This has made traditional strategies of distributing, consuming, and producing creative economies look obsolete and betray the urgent need to fine-tune the complex calculus of circulating, consuming, and producing creative economies in the digital era Purpose of the Study The Impacts of Digital Technology on Creative Economy 4 For this study, creative economy encompasses creative endeavors such as music, film and television, gaming, advertising, publishing, and literature, as well as architecture, design, arts, and fashion in this regard, and as a response to the disruption brought by digital innovations in the creative economy over recent years. Thus, this study aims to evaluate the impact of digital innovation on the production, dissemination, and consumption of the creative economy. The intent is to perform a longitudinal study that explores the current creative economy through literature reviews (qualitative analysis), observation performed in conjunction with the use of open-ended interviews with practitioners of the creative economy. The observations and interviews will be conducted with all the different sectors that make up the creative economy. The literature review will provide a context to understand the impact of digital technology on various aspects of the creative economy. As a result, the purpose of this study is to establish the impact of digital technology on the consumption, distribution, and production of the creative economy. Significance of the study The significance of this study is both qualitative and quantitative. The cost of integrating digital innovation in the value chain of the creative economy is expensive. It also alters the business structure of the creative economy. Thus, creative economy practitioners must examine how the integration of digital innovations will impact their business, for instance, whether integrating digital innovations will require the business to move to a new location, how many customers he will be able to attract with the integration of new technology and how many employees will be required to operate the business. UNCTAD observes that "the relationship between employment and technology has always been controversial. Technological innovations tend to eliminate some jobs while creating others" ( p.59, 2018). This study on the impact of digital technology on the creative industry can aid in understanding how digital technology has transformed the creative The Impacts of Digital Technology on Creative Economy 5 industry, the opportunities that it had created for creative economies, the challenges faced by creative economies in the integration of digital technologies. Research questions 1) How has digital technology innovation transformed the consumption of creative economy products? 2) How has digital technology impacted the dissemination of creative economy products? 3) How has digital technology transformed the production of the creative economy? 4) How has digital technology impacted the business structure of the creative economy? Limitation of the Study There is numerous limitation to this study. First, the study is limited to the creative economy only; the study is also limited in time and resources. Furthermore, the study is limited to geographical areas it is based in the United States. Given the unique nature of the creative economy and the classified nature of business activities data, this will limit the scope and application of research assumptions and findings. A longitudinal study of numerous creative economy organizations would enable the researcher to get a more diverse data set, hence, wider application of findings and assumptions. Assumptions The researcher assumes that digital technology has impacted the creative economy. The researcher also assumes that the strategy of examination of the impact of digital technology on the creative economy is not currently present in the creative industry. Also, the study assumes that people who would be interview will be honest and reflect the true situation of the creative The Impacts of Digital Technology on Creative Economy 6 economy. The researcher further assumes that digital innovations have been integrated into the creative economy that has affected the creative economy business structure. Definitions Creative economy: This is part of an economy containing jobs that rely on knowledgebased and non-repetitive skills as their key attributes. It encompasses creative endeavors such as music, film and television, gaming, advertising, publishing and literature, architecture, design, arts, and fashion. Artificial Intelligence: Simulation of people's intelligence process by computers. Internet of Things(IoT)-refers to the billions of physical computers connected by the internet around the globe that collect and share data. Digital technologies –are systems, devices, electronic tools, and resources that generate, store, and process data. They include social media, online games, and multimedia, etc. Summary Digital innovations have transformed businesses over the past decades. In recent years, there has been growing diverse research on how digital innovations are transforming different sectors. However, with the recent increase disruption of digital technology on the creative economy, researchers are yet to establish how this disruption by digital technology has impacted on distribution, dissemination, and production of the creative economy, which this research aims to do. The Impacts of Digital Technology on Creative Economy 7 References Crisp, V. (2015). Film distribution in the digital age: Pirates and professionals (1st ed.). Springer. Hearn, G. (2020). The future of creative work: Creativity and digital disruption. Edward Elgar Publishing. Kabanda, P. (2016). Creative natives in the digital age: How digital technology has revolutionized creative work (1st ed.). Springer. The Impacts of Digital Technology on Creative Economy 8 United Nations Conference on Trade and Development. (2018). The Technology and Innovation Report 2018: Harnessing Frontier Technologies for Sustainable Development (14). United Nations. World Economic Forum. (2018). Creative Disruption: The impact of emerging technologies on the creative economy (12). World Economy Program. Research Methodology 1 Chapter III: Research Methodology 2 Chapter III: Research Methodology Introduction As technology advances in different sectors, data breaches have been increased in various organizations carried out by hackers who need customers' personally identifiable information. The healthcare sector seems to be a key target because it keeps this kind of data for its customers, which raises concerns about firm protection. Therefore, safeguarding these data or information requires crucial anti-cybercrime developments in the patients’ health sector. Artificial Intelligence (AI) is one of the developments that can establish bits of help improving and insurance of network safety in healthcare. Network safety in medical services includes securing clinical data, advancements in the medical sector, and new clinical cycles by presenting projects, information, and gadgets to unapproved access. Innovation has improved, which has affected numerous public areas. For example, in medical care, online protection has assumed a fundamental part in its improvement. Not only has it assisted the association with securing its patients' wellbeing and security, but it has likewise guaranteed that it is viable and quality medical care for each patient. The purpose behind this paper is to provide information on how the health sector can shield itself from information penetration as per the Identity theft resource center in 2019. The methods that can uncover data and worker mindfulness will assist the health sector with protection from being assaulted by different sources. Research Paradigm The study on the cause of data breaches in the health sector and its implications used a quantitative research paradigm. Quantitative research has various goals: establishing ontology, phenomenology, logic, and epistemology of the examined variables. Its application has a range of important information from other research since logical, ontological, and further research will 3 help to solve the research problem. Quantitative analysis is of great importance. The study is centered around evaluating the dynamics of cybersecurity capability development in healthcare and how internal organizational dynamics influence the vulnerability of patients' information (Bryman & Bell, 2015). The boundaries utilized in estimation are the solitary factors that change. Each occurrence expresses an assorted quantitative example question that needs to be resolved by using an alternate border. The responses to the quantitative review questions characterize the exploration purposes and evaluate the different subjects of investigation. Research Design To effectively resolve a research problem, reliable and sufficient data is required, both qualitative and quantitative data, to determine the root cause of data breaching in the health sector (Alawneh, 2008). Close-ended inquiries will help control the study by navigating different areas while the discrete response from these areas is used to allocate value. Also, it simplifies the comparison of the reactions from various individuals, which, in turn, enables analysis of the survey’s findings. The majority of analytical responses from the responses will be recorded when attempting to clarify their understanding of a penetrate and how information lost can be characterized into purposeful dangers and coincidental dangers. Additionally, the closed-ended questions will be designed so that a participant can take two to three minutes to complete them. Data collection and Sampling Procedures The closed-ended questions are considered in the data collection process, which will provide a hint of the actual situations for workers who are currently working in the health sector. They are easy to read and mark an assent structure clarifying the reason for the exploration and were given the alternative to skipping an inquiry if they feel awkward responding to a question. Thus, the specific respondents are easy to compare and code for further statistical analysis. 4 Enlisting will be through promotions from web-based media and from known contacts whose training and identified work experience with the examination that was being led. Their reactions will be inclined to in two segments; quantitative and subjective. While investigating the personal information from the poll, we directed a topical examination to more readily dissect the members' reactions to the closed-ended inquiries (Namey et al.,2012). For the most part, the analyst will be targeting a large population and its specific pattern or a comparable thought that can help lay out the examination. It will foster some codes to recognize equivalent subjects and standards. Then, at that point, they began to assemble an underlying rundown or perspective on these codes to distinguish the examples wherein the members discussed insider dangers and information breaks. The selection of words and searching for electives will determine various perspectives/experiences on information penetration. Statistical Tests Summary T-test and Z-test are the preferable statistical test when dealing with quantitative data in the research. Therefore, we will foster both paired and unpaired t- and z-tests. For instance, most of the closed-ended questions consist of yes or no answers; hence it will be easier to determine the relationship between dynamics of cybercrime activities in healthcare through the two sets of data. Additionally, the tests will establish statistical evidence of a relationship between machine learning and data protection in healthcare. While using these tests, there is a need to develop the significance level that will reject the null hypothesis. In this case, the tests will be undertaken under a 5% significance level, and the data be presented in tables and a statistical test matrix. They will establish the level of probability in which healthcare data security and machine learning correlate with health records breached and affected by the data breach. Hence, the emergent results will be noted and coded as part of the process while the coding process and 5 analysis be primarily conducted manually. However, the study can use SPSS qualitative research software for data storage and assistance in identifying emergent themes. 6 References Alawneh, M., & Abbadi, I. M. (2008, August). Preventing information leakage between collaborating organizations. In Proceedings of the 10th International Conference on Electronic Commerce (pp. 1-10). Bell, E., & Bryman, A. (2015). Business research methods. 4. uud. p. Identity theft resource center (2019). https://www.idtheftcenter.org/ data-breaches/ Guest, G., MacQueen, K. M., & Namey, E. E. (2012). Introduction to applied thematic analysis. Applied thematic analysis, 3(20), 1-21.