Please research and provide me information on the following terms using the Ctrl/C, Ctrl/K, and Alt/F9 techniques discussed in class:
In the terms of Academic Success, how would you define:
Accountability
Accuracy
Adaptability
Consistency
Credibility
Integrity
Punctuality
Responsibility
Assignment 8:
Read Case 19-2 Ganglia Monitoring System, then answer the Case study question:
Examine the Ganglia monitoring system. Discuss which of the system’s features you think are most critical to
cloud administrators and why.
Your response should be in a Word document no more than two (2) pages long, double spaced, font size Time
New Roman 11, APA formatted, and include a cover page. Cover page is not part of the page count.
Read Case 19-7 Dynatrace Cloud monitoring, then answer the following:
Discuss the importance of analytics and visualization in a cloud-monitoring solution.
Your response should be in a Word document no more than two (2) pages long, double spaced, font size Time
New Roman 11, APA formatted, and include a cover page. Cover page is not part of the page count.
Read Case 20-6 Mobile Cloud: Top Five Predictions, then answer the following:
Read the paper and discuss the trends that were valid and others that may have changed.
Your response should be in a Word document no more than two (2) pages long, double spaced, font size Time
New Roman 11, APA formatted, and include a cover page. Cover page is not part of the page count.
Technological integration approaches refer to the various strategies and methods that organizations use to incorporate technology into their operations and processes. This integration of technology is essential for organizations to stay competitive in today’s fast-paced and ever-evolving business landscape. There are several different approaches that organizations can take when it comes to integrating technology into their operations, each with its own advantages and challenges.
One common approach to technological integration is the top-down approach, where technology decisions and implementations are driven by management and top-level executives. In this approach, technology initiatives are guided by the organization’s strategic goals and objectives, and are often implemented in a centralized manner. While this approach can help ensure that technology investments align with the organization’s overall strategy, it can also lead to resistance from employees who may feel excluded from the decision-making process.
Another technological integration approach is the bottom-up approach, where technology initiatives are driven by employees at the operational level. In this approach, employees are empowered to identify and implement technology solutions that can help improve their day-to-day work processes. This approach can help foster a culture of innovation and collaboration within the organization, but may also result in the proliferation of disparate technologies that are not aligned with the organization’s overall strategy.
A third approach to technological integration is the hybrid approach, which combines elements of both the top-down and bottom-up approaches. In this approach, technology decisions are made collaboratively between management and employees, with input from all levels of the organization. This approach can help ensure that technology initiatives are aligned with the organization’s strategic goals while also fostering employee buy-in and engagement.
One of the key challenges organizations face when it comes to technological integration is ensuring that new technologies are seamlessly integrated with existing systems and processes. This requires careful planning and coordination to avoid disruptions to the organization’s operations. It also requires ongoing training and support for employees to ensure that they are able to effectively use the new technologies.
In conclusion, technological integration is a critical aspect of organizational success in today’s digital age. By adopting a strategic and collaborative approach to integrating technology into their operations, organizations can capitalize on the benefits that technology has to offer while also mitigating the challenges that come with technological change. Whether through top-down, bottom-up, or hybrid approaches, organizations must carefully consider their unique needs and goals when developing their technological integration strategies.
Introduction
In the digital age, information technology (IT) serves as both a catalyst for innovation and a landscape fraught with ethical dilemmas. As researchers delve into the realms of artificial intelligence, big data, cybersecurity, and beyond, ethical considerations loom large, shaping the trajectory of technological advancement. This essay embarks on a journey to explore the ethical frontiers of IT research, examining the importance, challenges, and guiding principles that underpin ethical research guidelines.
The Importance of Ethical Research
At the heart of ethical research lies a commitment to integrity, responsibility, and respect for human dignity. In the realm of information technology, where data is currency and algorithms wield immense power, ethical considerations are paramount. Ensuring that research methodologies uphold ethical standards not only safeguards the rights and well-being of participants but also enhances the credibility and impact of research outcomes.
Challenges and Complexities
Yet, navigating the ethical landscape of IT research is fraught with challenges and complexities. Rapid technological advancements often outpace regulatory frameworks, leaving researchers grappling with ambiguous ethical boundaries. Moreover, the global nature of IT research raises questions of cultural sensitivity, data sovereignty, and power differentials, further complicating ethical decision-making. Addressing these challenges requires a nuanced understanding of ethical principles and a commitment to ongoing dialogue and reflection.
Guiding Principles
Ethical research in information technology is guided by a set of core principles that serve as moral compasses in the pursuit of knowledge and innovation. These principles include respect for autonomy, beneficence, justice, and honesty. Respecting the autonomy of research participants involves obtaining informed consent, ensuring privacy and confidentiality, and mitigating potential risks. Practicing beneficence entails maximizing the benefits of research while minimizing harm, prioritizing the well-being of participants and society at large. Upholding principles of justice requires equitable distribution of research benefits and burdens, addressing disparities in access and representation. Finally, honesty and transparency are essential pillars of ethical research, fostering trust, accountability, and intellectual integrity.
Community Engagement and Collaboration
Meaningful community engagement lies at the heart of ethical IT research, empowering stakeholders to actively participate in the research process and decision-making. Collaborative approaches, such as participatory design and citizen science, enable researchers to co-create knowledge with diverse communities, ensuring that research outcomes are relevant, inclusive, and socially responsible.
Continuous Reflection and Adaptation
Ethical research in information technology is not a static endeavor but a dynamic process of continuous reflection and adaptation. As technologies evolve and societal norms shift, ethical considerations must be revisited and reevaluated. Embracing a culture of ethical reflexivity allows researchers to anticipate emerging ethical challenges, engage in ethical deliberation, and proactively mitigate risks.
Conclusion
In conclusion, ethical research guidelines serve as beacons of light in the ever-changing landscape of information technology. By upholding principles of integrity, responsibility, and respect for human dignity, researchers can navigate the ethical frontiers of IT research with clarity and purpose. In doing so, they contribute not only to the advancement of knowledge and innovation but also to the greater good of society.
Reference: Stahl, B. C., & Coeckelbergh, M. (Eds.). (2016). Ethics of Information and Communication Technologies. Springer.
Given that Alice and Bob want to communicate over a public link using Diffie Hellman algorithm and the value of p = 43 while g = 13. Alice chooses kA = 5 while Bob chooses kB= 7, determine the shared key(show working)
Consider the One Laptop per Child Project (OLTPC) by the Kenyan Government. It is clear that the pupils will require a usable interface for the applications on these devices, such applications may also need to understand the traditional languages and be able to interpret the same into formal national languages of English and Swahili.
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1. Usability goals are typically operationalized as questions. Consider next question:
Is the product capable of allowing people to buy the goods they want?
a. To which usability goal does this question refer?
b. Is this question a suitable formulation to operationalize that usability goal? Explain your
answer.
2. Give an example of the design principle affordance.
3. Suppose you are asked to design a system to support the desk clerks in a bank office. Is it a good
idea to play the role of desk clerk yourself for some time, as part of the analysis activities?
4. Given is the statement:
‘Motivation’ is a typical part of the basic structure of a research report.
Is this statement true? Explain your answer.
5. (Only BIT and TCS)
Given is the statement:
Every persona should have a name.
Is this statement true? Explain your answer.
6. Which are the core activities in the iterative approach of phase 2?
7. Is it a good idea to combine video and Wizard-of-Oz as a prototyping technique?
8. Should a Playtesting session preferably be held at the playtester’s home or in a playtesting lab?
Answers
1. a. Effectiveness.
b. Yes, this is question is concrete enough to assess effectiveness.
NB Utility is also considered as a correct answer, because it is closely related to effectiveness.
Source: Chapter What is Interaction Design?, sections 1.4-1.6.
2. Example: a mouse button invites pushing by the way it is physically shaped.
Source: Chapter What is Interaction Design?, sections 1.4-1.6.
3. In the context of context analysis this is very useful activity. In this way you can learn which
issues the desk clerk has to deal with.
Source: Video Participant Observation.
(Another question is whether to play this role is desirable from the point of view of the bank
office management.)
4. It is important to motivate why you do the research and what the impact is. These questions
are discussed in the section Motivation.
Source: Reader HCI Design and Evaluation, Chapter 3.
5. Giving a persona a name is one of the most important parts of successfully defining one.
A persona without a name is not useful.
Source: document Personas.
6. The core activities are: make products and ideas, confront the products with stakeholders
and reflect on everything you do and make.
Source: Reader, Chapter 6.
7. Yes. It might give the user a real sense of what it might feel like to interact with the proposed
system.
Source: document Off line prototyping techniques, by Beaudouin-Lafon and Mackay
8. Both have pros and cons, so it depends upon your goals. For a discussion about the ‘where’
of Playtesting: see the Playtesting chapter of The Art of Game Design, by Schell.
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1) Explain what skills are involved in Human computer interaction.
2) Explain the main concerns of Human computer interaction.
3) Why human Computer interaction is important in software design?
4) Explain what is involved analyzing product’s context of use.
5) Which people (activity | context | technology) characteristics are analyzing the user needs?
6) How data can be recorded during the data gathering sessions with stakeholders?
7) How interviews are conducted?
8) What kind of questions are used in usability questionnaires?
9) How observations results are conducted?
10) What is a good question in interview and questionnaire?
11) Core characteristics of user-centered design
12) Why important is involving stakeholders to design? Stakeholder types.
13) Explain the user experience levels.
14) Definition of usability according to ISO 9241. Provide the examples
15) Explain usability principles with examples.
16) Business and usability objectives
17) Explain how task analysis is performed.
18) Explain how task analysis performed using storyboards (scenarios | use cases | hierarchical task
analysis).
19) What are the differences between mockups and prototypes?
20) What is presented on mood board? Why is it needed?
21) What is information architecture?
22) Top-down development of information architecture
23) Bottom-up development of information architecture
24) The main categories of usability design rules and their relation with user experience levels
25) Design principles for learnability (flexibility | robustness)
26) Nielsen’s heuristics
27) Analyze heuristics evaluation: the aim, in which project phases can be applied, who is involved,
what is prepared for the evaluation, what outcomes are obtained
28) Explain Norman’s 4 stages of interaction.
29) Analyze Cognitive walkthrough: on what usability attribute is focused, when can be applied, who
is involved in evaluation, what outcomes can be obtained.
30) Page fold and attention in interface design
31) Usage of colors to attract user’s attention
32) Gestalt principles
33) Interactive information visualization: purpose, steps
34) Analyze usability testing: the aim, in which development phases can be applied, who is involved,
what is prepared for the evaluation, what outcomes can be obtained.
35) How usability testing is performed?
36) Analyze GOMS/KLM evaluation: the aim, in which project phases can be applied, who is
involved, what is prepared for the evaluation, what outcomes are obtained.
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