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Worksheet: Effective AI Prompts and Web 1.0 vs Web 2.0

Total questions: 105

Worksheet time: 53mins

Name
Class
Date
1.

What is a key feature of effective AI prompts?

a)

They include long paragraphs

b)

They avoid specifying any details

c)

They remove user input

d)

They specify the role of the responder

2.

How can effective AI prompts improve the quality of responses?

a)

By confusing the AI

b)

By limiting the context

c)

By removing clarity

d)

By specifying the role of the responder and context

3.

Which of the following statements about effective AI prompts is true?

a)

Prompts should be vague

b)

Prompts should avoid examples

c)

Prompts must exclude instructions

d)

They should include specific requests for examples

4.

What is the primary characteristic of Web 1.0?

a)

Fully interactive pages

b)

Real-time collaboration

c)

User-generated content

d)

Static, text-based content

5.

Which best illustrates the concept of a 'read-only' web?

a)

A social media platform

b)

A collaborative wiki

c)

A real-time chat website

d)

A website with static pages and no user interaction

6.

What is a common misconception about Web 1.0?

a)

It is fully interactive

b)

It uses AI tools

c)

It supports real-time updates

d)

It allows for user-generated content

7.

How does Web 2.0 differ from Web 1.0?

a)

Web 2.0 is fully static

b)

Web 2.0 eliminates interaction

c)

Web 2.0 removes user content

d)

Web 2.0 allows for interaction and collaboration

8.

What does ‘dynamic content’ mean in Web 2.0?

a)

Content that never changes

b)

Only text content

c)

Content that is always offline

d)

Content that is updated and interactive

9.

How has Web 2.0 changed the way people learn?

a)

Learning became less interactive

b)

Students stopped using digital platforms

c)

It limited collaboration

d)

It made learning more interactive and collaborative

10.

What best describes the role of users in Web 2.0?

a)

Only consumers

b)

Not allowed to create content

c)

Only viewers

d)

Both consumers and creators of content

11.

What is an AI prompt?

a)

A computer hardware device

b)

A visual design

c)

A sound recognition tool

d)

The input submitted to a large language model

12.

Which type of prompts can some LLMs support?

a)

Only text

b)

Only audio

c)

Only images

d)

Text, images, and audio files

13.

What is the role of an AI prompt engineer?

a)

To design computer chips

b)

To build robots

c)

To collect financial data

d)

To create text-based prompts for large language models

14.

Why must AI systems depend on human input?

a)

Because they are fully intuitive

b)

Because they never make errors

c)

Because they have emotions

d)

Because they lack intuition and need guidance

15.

Which statement about effective prompts is true?

a)

They reduce accuracy

b)

They should avoid clarity

c)

They do not affect output

d)

They enhance performance and lead to accurate responses

16.

How does context improve AI responses?

a)

By confusing the model

b)

By making instructions unclear

c)

By reducing information

d)

It helps AI understand the situation like world-building

17.

Which component is essential in a good AI prompt?

a)

Avoiding persona

b)

Removing user intent

c)

Not mentioning roles

d)

Defining the persona AI should emulate

18.

What is the “specific task” in a prompt?

a)

Random background info

b)

Personal details

c)

Irrelevant data

d)

The actual question or task to be solved

19.

How can the output format affect the AI’s response?

a)

It makes the AI ignore structure

b)

It decreases clarity

c)

It prevents formatting

d)

It guides the AI on how to structure the answer

20.

What can be inferred about prompt specificity?

a)

It reduces quality

b)

It causes confusion

c)

It limits performance

d)

Specific prompts improve output quality

21.

Which best describes 'embodied' AI?

a)

Software only

b)

AI in cloud storage only

c)

AI that cannot move

d)

AI integrated into physical robots and devices

22.

Which is NOT a type of AI software?

a)

Social media platforms

b)

Image recognition

c)

Natural language processing

d)

Recommendation systems

23.

Which digital assistant was developed by Google?

a)

Siri

b)

Alexa

c)

Cortana

d)

Google Assistant

24.

What is a misconception about AI in healthcare?

a)

It replaces all doctors

b)

It writes prescriptions

c)

It does surgeries

d)

AI can analyze medical images effectively

25.

How does AI enhance personalized care?

a)

It ignores patient data

b)

It removes diagnosis

c)

It delays treatments

d)

By tailoring medication dosages based on genetics

26.

Benefit of AI algorithms in finance?

a)

They reduce accuracy

b)

They cannot predict trends

c)

They avoid data

d)

They predict market trends better than humans

27.

How do chatbots help banks and insurance companies?

a)

They replace all staff

b)

They delete user accounts

c)

They increase workload

d)

They handle routine inquiries

28.

What can be inferred about AI's future role in education?

a)

It will reduce personalization

b)

It will stop digital learning

c)

It will remove assessment

d)

AI will enhance personalized learning experiences

29.

What is the primary function of automated feedback systems?

a)

Delay feedback

b)

Provide random scores

c)

Ignore student progress

d)

Provide instant performance assessments

30.

How does AI use NLP in education?

a)

To block student access

b)

To remove teaching aids

c)

To confuse learners

d)

To simulate one-on-one tutoring

31.

What is the primary function of neural networks in AI?

a)

To store only numeric data

b)

To delete unnecessary information

c)

To imitate animal instincts

d)

To mimic human brain functions

32.

How does AI typically enhance daily life?

a)

By increasing manual workload

b)

By reducing personalization

c)

By slowing down processes

d)

By improving efficiency and personalization

33.

Which best illustrates the concept of “strong AI”?

a)

AI that only translates languages

b)

AI that can play a single game

c)

AI that needs human supervision

d)

AI that can perform any task like a human

34.

What does “machine learning” refer to in AI?

a)

AI that requires no data

b)

A system that avoids algorithms

c)

AI that works only with visuals

d)

A subset of AI that learns from data

35.

What does machine learning refer to in general?

a)

A system that never updates

b)

Manual programming of every step

c)

AI without training

d)

A subset of AI that focuses on algorithms learning from data

36.

What can we infer about AI’s future impact on daily life?

a)

It will reduce personalization

b)

It will replace all teachers

c)

It will eliminate digital tools

d)

AI will continue to enhance personalization and efficiency

37.

Which best describes neural networks?

a)

Systems based on random guessing

b)

Programs that ignore data

c)

Interfaces used only for gaming

d)

Computational models inspired by the human brain

38.

What allows neural networks to process language?

a)

They rely only on images

b)

They avoid learning from data

c)

They use fixed programmed rules

d)

They can learn from large datasets

39.

How does strong AI differ from current AI systems?

a)

Current AI is fully human-like

b)

Strong AI performs only one task

c)

Strong AI lacks reasoning

d)

Strong AI mimics full human intelligence, current AI is specialized

40.

What is a misconception about current AI systems?

a)

They can feel emotions

b)

They always make perfect decisions

c)

They operate without electricity

d)

They can perform any task like a human

41.

What is one purpose of using AI in foreign language teaching?

a)

Making classes more complicated

b)

Reducing student participation

c)

Limiting personalization

d)

Improving lesson quality through personalization and automation

42.

How does AI support teachers in language teaching?

a)

By increasing grading time

b)

By removing digital tools

c)

By making lessons less organized

d)

By reducing time spent on routine tasks

43.

Why should teachers integrate AI into language learning?

a)

Because AI confuses students

b)

Because students rarely use technology

c)

Because AI replaces textbooks

d)

Because students already use AI-based learning tools

44.

Who is the founder of the theoretical model of computation?

a)

John McCarthy

b)

Marvin Minsky

c)

Alan Turing

d)

Geoffrey Hinton

45.

What was the purpose of the Turing Test?

a)

To measure computer storage

b)

To determine if a machine can think like a human

c)

To compare programming languages

d)

To test hardware speed

46.

When was the term “Artificial Intelligence” introduced?

a)

1956

b)

1985

c)

1930

d)

2001

47.

What was ELIZA?

a)

An early computer virus

b)

An early program that simulated dialogue

c)

A speech-to-text tool

d)

A machine translation system

48.

What technological advancement was key in the 2000s?

a)

Quantum computing

b)

Machine learning and big data processing

c)

Typewriters

d)

Mechanical calculators

49.

What was a major AI breakthrough in 2016?

a)

First humanoid robot

b)

Introduction of smartphones

c)

AlphaGo defeating the world champion in Go

d)

Launch of Google Search

50.

What are GPT models used for?

a)

Image-only processing

b)

Audio recording

c)

Website hosting

d)

Text generation and language processing

51.

What is Al-Khwarizmi known for?

a)

Inventing neural networks

b)

Developing the first robot

c)

Laying the foundation for algorithms and algebra

d)

Creating the first smartphone

52.

What was the significance of ELIZA (1966)?

a)

It created 3D graphics

b)

It calculated space orbits

c)

It predicted stock markets

d)

It was the first chatbot that simulated conversation

53.

How did AlphaGo demonstrate AI power in 2016?

a)

By writing poems

b)

By defeating the world champion in Go using deep learning

c)

By building neural networks

d)

By translating books

54.

What is the main characteristic of Artificial Intelligence?

a)

Ability to store unlimited data

b)

Ability to work without electricity

c)

Ability to ignore learning

d)

Ability to mimic human intelligence and learn from data

55.

What is a key feature of Web 3.0?

a)

Static pages

b)

No personalization

c)

Only text content

d)

Personalized content recommendations using AI

56.

How does AI assist teachers?

a)

By removing teaching materials

b)

By increasing grading time

c)

By replacing lesson plans with blank pages

d)

By automating routine tasks like grading and planning

57.

What is the key difference between AI and traditional programs?

a)

Traditional programs learn automatically

b)

AI never uses data

c)

AI learns and adapts from data while traditional programs follow fixed rules

d)

Traditional programs understand human language

58.

What is an example of Narrow AI?

a)

A robot with emotions

b)

A chess-playing program that defeats grandmasters

c)

A fully human-level AI

d)

A natural disaster prediction tool

59.

What are the key components of a neural network?

a)

CPU, RAM, Monitor

b)

URL, Browser, Server

c)

Training data only

d)

Input layer, hidden layers, output layer

60.

What is the function of hidden layers in a neural network?

a)

Showing website design

b)

Analyzing data and finding patterns

c)

Storing user passwords

d)

Displaying program icons

61.

How does AI help in lesson planning?

a)

By removing lesson objectives

b)

By generating short random tasks

c)

By creating identical lessons for all

d)

By generating lesson plans tailored to learners

62.

What AI tool can create illustrations for teaching?

a)

DALL-E

b)

R-Studio

c)

Blender

d)

Canva Basic

63.

How can AI assist in teaching exercises?

a)

By deleting old materials

b)

By giving unrelated examples

c)

By generating tasks slowly

d)

By creating grammar and vocabulary tasks

64.

What is an advantage of AI in multimedia materials?

a)

It makes editing difficult

b)

It removes visuals

c)

It reduces creativity

d)

It allows teachers to make audio or video easily

65.

How can AI be used interactively during a lesson?

a)

By blocking student access

b)

By removing explanations

c)

By repeating the same question

d)

By giving real-time explanations or examples

66.

How can AI improve conversational practice?

a)

By limiting speaking time

b)

By avoiding interaction

c)

By giving only reading tasks

d)

By using chatbots for natural dialogues

67.

What is a major benefit of AI for feedback?

a)

Makes feedback slower

b)

Only checks spelling

c)

Avoids grammar checking

d)

Automatically reviews grammar and style

68.

What is a disadvantage of AI in education?

a)

It reduces screen time

b)

It improves empathy

c)

It strengthens emotions

d)

It lacks emotional understanding

69.

Why is technological dependence a concern?

a)

Because students avoid devices

b)

Because learning becomes offline

c)

Because materials are always printed

d)

Because tech issues can stop learning

70.

What ethical issue arises with AI in education?

a)

Lack of visuals

b)

Lack of examples

c)

Lack of exercises

d)

Privacy and copyright concerns

71.

Key recommendation when using student data with AI?

a)

Ignoring privacy rules

b)

Sharing all student info

c)

Collecting unnecessary data

d)

Informing students what data is collected

72.

What does “data minimization” mean?

a)

Removing all files

b)

Using only data needed for an activity

c)

Sharing all data with AI

d)

Storing unlimited data

73.

What is a problem with “black box” AI?

a)

It explains every step

b)

It never makes mistakes

c)

It is always transparent

d)

Its decisions are hard to understand

74.

How can teachers address black-box AI issues?

a)

Avoid using AI entirely

b)

Ignore explanations

c)

Use random tools

d)

Choose AI tools that show explanations

75.

What is the teacher’s role when using AI?

a)

To rely fully on AI

b)

To avoid all student input

c)

To stop monitoring lessons

d)

To evaluate AI results and stay in control

76.

What is the primary function of an algorithm?

a)

Drawing pictures

b)

Compressing images

c)

Sending emails

d)

Following steps to solve a task

77.

What is Artificial Intelligence (AI)?

a)

A type of hardware

b)

A social media platform

c)

A computer game

d)

A field creating systems that mimic human abilities

78.

What is big data?

a)

Small organized files

b)

Simple text documents

c)

Only image collections

d)

Large structured and unstructured datasets

79.

What is a chatbot?

a)

A payment system

b)

A drawing tool

c)

A hardware device

d)

A program that simulates conversation

80.

What does “classification” involve?

a)

Writing long paragraphs

b)

Turning text into audio

c)

Generating random labels

d)

Sorting items into categories

81.

What is computer vision?

a)

Audio processing only

b)

Converting text to speech

c)

Managing cloud storage

d)

AI interpreting visual information

82.

What does “training” an AI model involve?

a)

Deleting old data

b)

Avoiding new information

c)

Using no datasets

d)

Feeding data so it can learn patterns

83.

Purpose of feature engineering?

a)

Making code shorter

b)

Compressing videos

c)

Adding random symbols

d)

Preparing data for better model learning

84.

What is supervised learning?

a)

Learning without labels

b)

Guessing randomly

c)

Learning without datasets

d)

Learning from labeled examples

85.

What is explainable AI (XAI)?

a)

AI that hides results

b)

AI that gives no reasoning

c)

AI that makes random choices

d)

AI that shows how decisions are made

86.

Which AI technology helps machines understand language?

a)

Computer vision

b)

Neural graphics

c)

Audio filtering

d)

Natural Language Processing (NLP)

87.

Which tool helps generate lesson plans or quizzes?

a)

Excel

b)

Photoshop

c)

Google Docs

d)

ChatGPT

88.

Function of Generative AI in education?

a)

Cleaning files

b)

Copying documents

c)

Limiting creativity

d)

Creating new content such as text, images, audio

89.

Which tool creates custom images for lessons?

a)

SketchBook

b)

Paint

c)

Figma

d)

DALL-E

90.

Which platform provides personalized learning?

a)

Udemy Basic

b)

YouTube Kids

c)

Microsoft Paint

d)

Knewton

91.

Which tool adjusts difficulty in real time?

a)

Google Meet

b)

WordPress

c)

Anki

d)

DreamBox

92.

What is speech recognition used for?

a)

Editing videos

b)

Making diagrams

c)

Writing lesson plans

d)

Turning spoken words into text

93.

Which tool converts text to lifelike speech?

a)

VLC

b)

Audacity

c)

Voicemod

d)

Amazon Polly

94.

What can computer vision generate?

a)

Only audio files

b)

Long essays

c)

Chat dialogues

d)

Charts, diagrams, infographics

95.

Which tool helps make interactive visual content?

a)

PowerPoint Basic

b)

Notepad

c)

Chrome

d)

OpenCV

96.

What do chatbots/assistants do in education?

a)

Build school buildings

b)

Replace all teachers

c)

Block student messages

d)

Automate student support

97.

Which tool simulates conversational practice?

a)

Spotify

b)

Google Translate

c)

Grammarly

d)

Replika

98.

What data do learning analytics tools study?

a)

Teacher salaries

b)

Classroom furniture

c)

School decorations

d)

Student performance data

99.

Which tool visualizes learning analytics?

a)

Google Earth

b)

CapCut

c)

Wikipedia

d)

Schoology

100.

What is the purpose of gamification in learning?

a)

Making tasks harder

b)

Removing activities

c)

Reducing interaction

d)

Making learning more engaging

101.

Which tool creates interactive quizzes and games?

a)

Excel

b)

Discord

c)

WordPad

d)

Kahoot!

102.

Which tool auto-grades assignments?

a)

OneDrive

b)

Paint

c)

Browser apps

d)

Gradescope

103.

Which tool checks for plagiarism?

a)

Canva

b)

Teams

c)

PowerPoint

d)

Turnitin

104.

Which tool creates virtual field trips?

a)

Zoom

b)

Discord

c)

OBS Studio

d)

Google Expeditions

105.

Which VR tool teaches languages?

a)

Oculus Video

b)

SteamVR

c)

VR Studio

d)

Mondly VR