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Final Lesson: Check your knowledge!

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Question 1 of 45

1. Question
1. In this unit, inclusion is framed primarily as a driver of digital transformation rather than a narrow compliance task.
- A. True
- B. False
Correct

Incorrect
Question 2 of 45

2. Question
2. At this stage, the most reliable use of AI is to strengthen core accessibility and learning clarity (e.g., captions, transcripts, translation, text-to-speech, concise summaries).
- A. True
- B. False
Correct

Incorrect
Question 3 of 45

3. Question
3. Which leadership stance best matches this unit?
- A. Adopt advanced AI and inclusion will follow.
- B. Set clear inclusion standards, then use AI to accelerate what already works.
- C. Pause digital innovation until every governance detail is complete.
Correct

Incorrect
Question 4 of 45

4. Question
4. The most effective way to operationalise policy in this unit is to adopt a concise one-page standard rather than a long rulebook.
- A. True
- B. False
Correct

Incorrect
Question 5 of 45

5. Question
5. Which leadership lever most directly prevents inaccessible platforms from entering the ecosystem?
- A. Annual reporting
- B. Procurement criteria referencing EN 301 549
- C. End-of-year student surveys
Correct

Incorrect
Question 6 of 45

6. Question
6. Brief course approvals that ask how accessibility will be implemented in practice help normalise inclusion without heavy bureaucracy.
- True
- False
Correct

Incorrect
Question 7 of 45

7. Question
7. The monthly forum is designed to create a light, repeatable rhythm that keeps inclusion moving without new bureaucracy.
- True
- False
Correct

Incorrect
Question 8 of 45

8. Question
8. The purpose of a one-term inclusion pilot is to produce early, visible gains with minimal overhead rather than to solve every inclusion issue at once.
- True
- False
Correct

Incorrect
Question 9 of 45

9. Question
9. Which early indicator is most directly tied to accessibility by design?
- A. The number of new elective modules launched
- B. The share of new media with verified captions
- C. The total count of student support emails
Correct

Incorrect
Question 10 of 45

10. Question
10. Referencing EN 301 549 in procurement helps prevent inaccessible tools from entering the ecosystem.
- A. True
- B. False
Correct

Incorrect
Question 11 of 45

11. Question
1. Which of the following principles is central to responsible AI use in education?
Correct

Incorrect
Question 12 of 45

12. Question
2. What does the term accountability refer to in the context of AI governance?
- A. The ability of AI to explain its code
- B. The responsibility of humans and institutions for AI outcomes
- C. Automatic correction of AI errors
- D. The financial cost of implementing AI tools
Correct

Incorrect
Question 13 of 45

13. Question
3. Which of the following best describes GDPR compliance in AI-based education?
- A. Sharing all user data to improve AI accuracy
- B. Collecting only necessary data and ensuring user consent
- C. Allowing unrestricted access to institutional databases
- D. Ignoring data storage policies for educational purposes
Correct

Incorrect
Question 14 of 45

14. Question
4. Why is fairness an important principle in AI ethics?
- A. It ensures that AI decisions are equally beneficial to all learners.
- B. It makes AI run faster and more efficiently.
- C. It eliminates the need for teacher supervision.
- D. It allows institutions to reduce costs.
Correct

Incorrect
Question 15 of 45

15. Question
5. Which of the following best describes the main goal of an institutional AI strategy?
- A. To encourage departments to compete on technology adoption
- B. To ensure that AI use aligns with institutional values and ethical principles
- C. To allow unrestricted experimentation with AI tools
- D. To replace human decision-making in education
Correct

Incorrect
Question 16 of 45

16. Question
6. What is a key element of an effective AI policy?
- A. Clear governance structures and defined accountability
- B. Exclusive control by technical departments
- C. Frequent replacement of AI tools
- D. Complete automation of administrative processes
Correct

Incorrect
Question 17 of 45

17. Question
7. Why should universities align their AI strategies with national or international frameworks?
- A. To comply with standards, enhance credibility, and anticipate new regulations
- B. To access commercial funding for AI systems
- C. To speed up procurement and implementation
- D. To avoid involving external stakeholders
Correct

Incorrect
Question 18 of 45

18. Question
8. What does inclusion mean in the context of AI policy?
- A. Involving only technology experts in AI governance
- B. Ensuring AI tools reflect diverse needs and support equitable access
- C. Using AI only in administrative areas
- D. Limiting stakeholder participation to speed up decisions
Correct

Incorrect
Question 19 of 45

19. Question
1. What is AI-driven decision making?
- A. Decisions made randomly by a computer program
- B. Using artificial intelligence to analyze data and recommend or make decisions
- C. Automating all business operations without human input
- D. Programming robots to replace human managers
Correct

Incorrect
Question 20 of 45

20. Question
2. What is the primary difference between traditional data-informed decision-making and AI-driven decision making in an institutional context?
- A. Traditional methods prioritize efficiency, while AI-driven decision making prioritizes compliance and ethical governance.
- B. AI-driven decision making automates predictive modeling and insights generation, allowing leaders to act on forecasted outcomes rather than past results alone.
- C. Traditional methods are faster because they skip the time-consuming process of training an algorithm.
- D. AI-driven decision making relies only on structured financial data, whereas traditional methods use qualitative interviews.
Correct

Incorrect
Question 21 of 45

21. Question
3. Which of the following is a key advantage of AI-driven decision making?
- A. It eliminates all risks
- B. It ensures 100% accurate predictions
- C. It enables faster, data-based insights
- D. It replaces human ethics in decisions
Correct

Incorrect
Question 22 of 45

22. Question
4. Which action best demonstrates an institution’s commitment to ensuring equitable outcomes when deploying an AI tool for resource allocation?
- A. Selecting the AI tool that is the fastest to process data, regardless of its internal logic.
- B. Limiting access to the AI tool to only the most senior leadership team.
- C. Using only AI tools developed by local, non-profit organizations.
- D. Conducting a periodic, independent audit to check the AI's results for disproportionate impact on marginalized groups.
Correct

Incorrect
Question 23 of 45

23. Question
5. Which factor is most critical to ensure that AI decisions are fair and unbiased?
- A. The speed of the algorithm
- B. The quality and diversity of training data
- C. The size of the AI model
- D. The brand of computing hardware
Correct

Incorrect
Question 24 of 45

24. Question
6. In the context of strategic operations, what is the most appropriate application of GenAI for a university leader?
- A. Directly replacing human lecturers for introductory course lectures.
- B. Automating the physical maintenance and repair schedule for all campus buildings.
- C. Synthesizing complex governance documents and drafting high-level reports on policy impacts.
- D. Making real-time, non-negotiable decisions on student disciplinary cases.
Correct

Incorrect
Question 25 of 45

25. Question
7. Why is ‘human oversight’ a non-negotiable ethical requirement when AI is used to manage high-stakes decisions like staff promotion or grant approval?
- A. Human judgment is necessary to interpret context, apply discretion, and override results where the AI's conclusion is technically accurate but ethically or logically flawed.
- B. Human oversight ensures that AI is used exclusively for budget forecasting and nothing else.
- C. AI systems are only legally recognized if a human approves the final decision.
- D. The AI cannot connect to the institutional network without manual intervention.
Correct

Incorrect
Question 26 of 45

26. Question
8. For successful AI-driven decision making implementation, the focus on data quality (integrity, accuracy, and comprehensiveness) should primarily be driven by which strategic goal?
- A. Simplifying the training curriculum for end-users and administrators.
- B. Minimizing the overall cost of the AI software subscription.
- C. Ensuring the decisions derived from the AI are reliable, trustworthy, and actionable for institutional leaders.
- D. Allowing the system to be run using only a single, large centralized server.
Correct

Incorrect
Question 27 of 45

27. Question
9. What is one major advantage of applying GenAI in strategic operations?
- A. It removes the need for human oversight
- B. It automates complex tasks and enhances data-driven decisions
- C. It reduces organizational transparency
- D. It limits collaboration among departments
Correct

Incorrect
Question 28 of 45

28. Question
10. In your opinion, how can GenAI improve efficiency in administrative work?
- A. By creating new leadership structures
- B. By automating routine tasks like reporting and scheduling
- C. By eliminating human staff
- D. By increasing paperwork
Correct

Incorrect
Question 29 of 45

29. Question
11. What role does ChatGPT play in leadership operations?
- A. Forecasting stock prices
- B. Replacing project managers
- C. Generating reports, summaries, and strategic drafts
- D. Tracking physical attendance
Correct

Incorrect
Question 30 of 45

30. Question
12. What is the key leadership benefit of using GenAI in strategy development?
- A. It supports data-driven decision-making and scenario analysis
- B. It automates employee training
- C. It replaces leadership roles
- D. It reduces ethical responsibility
Correct

Incorrect
Question 31 of 45

31. Question
13. Why is data quality important when selecting GenAI tools?
- A. Poor data improves system creativity
- B. AI tools rely on accurate data to produce reliable insights
- C. Data quality has no impact on AI performance
- D. High-quality data slows AI systems
Correct

Incorrect
Question 32 of 45

32. Question
14. Which of the following tools offers free AI-supported document drafting and note-taking features?
- A. Microsoft Copilot
- B. AutoCAD
- C. Salesforce
- D. Jira
Correct

Incorrect
Question 33 of 45

33. Question
15. What ethical concern must leaders consider when implementing GenAI tools?
- A. Increasing operational speed
- B. Reducing employee creativity
- C. Focusing only on productivity metrics
- D. Ensuring fairness, data privacy, and accountability
Correct

Incorrect
Question 34 of 45

34. Question
16. Which evaluation criterion ensures that AI tools can grow with an organization’s needs?
- A. Scalability and integration
- B. Cost and marketing potential
- C. Team size
- D. Branding and design
Correct

Incorrect
Question 35 of 45

35. Question
17. How can leaders encourage team adoption of GenAI tools?
- A. By limiting training to executives
- B. By providing user-friendly tools and adequate support
- C. By forcing immediate adoption without feedback
- D. By ignoring staff concerns
Correct

Incorrect
Question 36 of 45

36. Question
18. What is one potential risk of overreliance on GenAI in leadership?
- A. Enhanced data insights
- B. Reduced human judgment and oversight
- C. Improved collaboration
- D. Stronger ethics compliance
Correct

Incorrect
Question 37 of 45

37. Question
19. Why should organizations pilot GenAI tools before full adoption?
- A. To test functionality, cost-benefit, and organizational fit
- B. To delay innovation
- C. To avoid training costs
- D. To limit employee involvement
Correct

Incorrect
Question 38 of 45

38. Question
20. What is the main goal of using AI tools with ethical and inclusive practices?
- A. To automate every task possible
- B. To replace human roles entirely
- C. To support decision-making while ensuring fairness, transparency, and accountability
- D. To reduce costs at all costs
Correct

Incorrect
Question 39 of 45

39. Question
21. Why is inclusivity important when using AI tools in organizations?
- A. It ensures a wide range of perspectives and prevents discrimination
- B. It slows down the decision-making process
- C. It increases the complexity of AI models
- D. It reduces the need for training data
Correct

Incorrect
Question 40 of 45

40. Question
24. Which of the following is a sign of good AI governance?
- A. Decisions are made automatically with no review
- B. Clear policies define who is responsible for AI decisions
- C. AI is used without user consent
- D. AI tools are adopted with no testing
Correct

Incorrect
Question 41 of 45

41. Question
25. What should be done before adopting a new AI tool?
- A. Pilot and test it for ethical risks and inclusivity
- B. Implement it immediately to save time
- C. Let developers decide without user input
- D. Skip training for end users
Correct

Incorrect
Question 42 of 45

42. Question
26. How can leaders maintain accountability in AI-driven processes?
- A. Delegate all responsibility to the AI vendor
- B. Remove human intervention completely
- C. Use AI without clear documentation
- D. Keep human oversight in all major decisions
Correct

Incorrect
Question 43 of 45

43. Question
27. What is one ethical concern when using free or freemium AI tools?
- A. Limited customization options
- B. Potential misuse or leakage of user data
- C. Lack of creative features
- D. Higher accuracy
Correct

Incorrect
Question 44 of 45

44. Question
1. Why is continuous monitoring of AI systems necessary?
- A. To ensure the AI remains fair, accurate, and aligned with organizational values
- B. To increase data volume for the AI model
- C. To speed up decision-making
- D. To reduce human involvement
Correct

Incorrect
Question 45 of 45

45. Question
- A. How much time will it save?
- B. Can it replace management roles?
- C. Does it comply with data privacy laws and promote fairness?
- D. Is it popular with other companies?
Correct

Incorrect

Enhancing Inclusive Education in Higher Education Institutions with Artificial Intelligence

ERASMUS+ project
Reference Number: 2023-1-SI01-KA220-HED-000160853

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.

Contact:

AI-enable project consortium

info@aienable.eu

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