Interactive Quiz: Test Your AI Basics Knowledge

Artificial Intelligence (AI) is no longer an abstract concept reserved for computer scientists. Today, AI shapes educational landscapes, influences policy, and opens new pedagogical horizons. To support European educators in navigating this evolving field, this interactive quiz offers a hands-on approach to reinforcing foundational AI knowledge. Each item is crafted not just to assess, but to deepen understanding through contextual feedback. At the end, find an auto-grading prompt for ChatGPT, streamlining assessment and reflection.

1. What does the acronym “AI” stand for?

A) Automated Instruction
B) Artificial Intelligence
C) Analytical Integration
D) Advanced Interaction

Correct answer: B

Feedback: AI stands for Artificial Intelligence, a field focused on creating systems that simulate human cognitive processes.

2. True or False: Machine learning is a subset of artificial intelligence.

A) True
B) False

Correct answer: A

Feedback: Machine learning is indeed a subset of AI. It refers to algorithms that enable systems to learn from data and improve over time without explicit programming.

3. Which of the following is NOT a common application of AI in education?

A) Automated essay scoring
B) Adaptive learning platforms
C) Predicting weather patterns
D) Intelligent tutoring systems

Correct answer: C

Feedback: While AI is used in climate science, predicting weather patterns is not a typical educational application. The others are directly relevant to teaching and learning environments.

4. Which legislation is central to the regulation of AI within the European Union?

A) AI Act
B) Digital Services Act
C) GDPR
D) ePrivacy Directive

Correct answer: A

Feedback: The EU AI Act is the first comprehensive regulatory framework for artificial intelligence, setting standards for trustworthy AI across Europe.

5. True or False: Deep learning and machine learning are identical concepts.

A) True
B) False

Correct answer: B

Feedback: False. Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to analyze complex data.

6. Which of the following best describes “algorithmic bias”?

A) The tendency of AI systems to always produce optimal results
B) The overuse of algorithms in decision-making
C) Systematic errors in AI outputs due to prejudiced data or design
D) A preference for certain programming languages

Correct answer: C

Feedback: Algorithmic bias refers to systematic errors resulting from biased data sets or flawed assumptions during AI system design.

7. Which AI technology enables chatbots to understand and respond to human language?

A) Reinforcement learning
B) Natural language processing (NLP)
C) Computer vision
D) Robotics

Correct answer: B

Feedback: Natural language processing (NLP) allows machines to analyze, understand, and generate human language, making chatbots effective communicators.

8. True or False: AI can help detect and prevent academic plagiarism.

A) True
B) False

Correct answer: A

Feedback: True. AI tools are increasingly applied to detect textual similarities, helping educators uphold academic integrity.

9. What is a “black box” problem in AI?

A) The challenge of accessing AI hardware
B) The lack of transparency in how AI makes decisions
C) The storage of confidential data
D) The physical limitations of robots

Correct answer: B

Feedback: The “black box” problem refers to the difficulty in interpreting the reasoning behind complex AI decisions, which can hinder trust and accountability.

10. Which of these is a risk associated with AI in education?

A) Enhanced personalized learning
B) Data privacy breaches
C) Improved assessment efficiency
D) Increased student engagement

Correct answer: B

Feedback: While AI offers many benefits, data privacy breaches remain a valid risk requiring careful mitigation and robust security measures.

11. True or False: AI systems can reflect and even amplify societal biases present in their training data.

A) True
B) False

Correct answer: A

Feedback: True. AI may inherit and amplify prejudices from its training data, making ethical data selection a cornerstone of responsible AI use.

12. What is the primary purpose of the General Data Protection Regulation (GDPR) in the context of AI?

A) To ban AI use in education
B) To regulate AI research funding
C) To protect individuals’ personal data and privacy
D) To mandate open-source AI development

Correct answer: C

Feedback: GDPR aims to protect the privacy and personal data of EU citizens, impacting how AI systems handle, process, and store such data.

13. Which of the following is NOT a benefit of integrating AI in the classroom?

A) Automating administrative tasks
B) Enhancing personalized learning
C) Reducing teacher-student interaction
D) Providing real-time feedback

Correct answer: C

Feedback: AI should support teacher-student interaction, not reduce it. The most effective implementations enhance, rather than replace, human relationships.

14. True or False: “Explainability” in AI refers to how clearly an AI system’s decisions can be understood by humans.

A) True
B) False

Correct answer: A

Feedback: Explainability is crucial for trust in AI. It means that stakeholders—including educators and students—can understand how and why AI systems reach their conclusions.

15. Which approach can help mitigate bias in AI systems?

A) Using diverse training datasets
B) Ignoring ethical considerations
C) Focusing only on technical performance
D) Avoiding transparency in algorithms

Correct answer: A

Feedback: Diverse and representative datasets are essential for reducing bias and ensuring AI systems serve all learners fairly.

How to Use This Quiz with ChatGPT: Auto-Grading Prompt

Copy and paste the following prompt along with your answers into ChatGPT to receive instant feedback and a detailed review:

Auto-Grading Prompt:
I have completed the “Interactive Quiz: Test Your AI Basics Knowledge.” Please review my answers (provided below) against the correct answers and explanations from the quiz. For each item, indicate whether my answer is correct. If incorrect, explain why and provide the correct answer with a brief explanation. After reviewing all questions, summarize my strengths and suggest areas for further improvement.

Embracing AI Literacy in Education

The journey to AI literacy is both challenging and rewarding. Each question in this quiz is designed not only to test knowledge, but to inspire deeper inquiry and critical reflection. As you explore these foundational concepts, remember that the heart of AI in education is not about replacing human insight, but augmenting it—empowering teachers and learners to thrive in a digitally advanced world.

Stay curious, stay informed, and let your passion for learning guide your exploration of artificial intelligence.