Generative AI

Generative AI

6th Grade

36 Qs

quiz-placeholder

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Generative AI

Generative AI

Assessment

Quiz

Science

6th Grade

Hard

NGSS
MS-ETS1-3, MS-ETS1-1, HS-ETS1-3

+2

Standards-aligned

Created by

Stephanie Brown

Used 3+ times

FREE Resource

36 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the word "Generative" mean?

Capable of creating or producing

Something made by people, not found in nature

Being able to learn and understand

Unable to create or produce

Tags

NGSS.MS-ETS1-1

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the word "Artificial" mean?

Capable of creating or producing

Something made by people, not found in nature

Being able to learn and understand

Naturally occurring

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the word "Intelligence" mean?

Capable of creating or producing

Something made by people, not found in nature

Being able to learn and understand

Unable to learn and understand

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is AI described as in the MIT Tech Review?

A set of technologies that make computers do things that are thought to require intelligence when done by people.

A type of computer hardware that processes data faster than humans.

A programming language used to create intelligent software.

A network of computers that communicate with each other.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to the MIT Tech Review, what is required for computers to perform tasks that are considered intelligent?

Advanced hardware components

Human-like intelligence

A set of specific technologies

High-speed internet

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two core pillars on which AI is built?

Machine learning and Data mining

Machine learning and Neural networks

Neural networks and Data analysis

Data mining and Data analysis

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Supervised Learning in the context of Machine Learning?

Computers learn from labeled data (e.g., telling cats and dogs apart)

Computers find patterns without labels (e.g., sorting emails)

Computers learn through consequences, like playing a game

Computers learn by mimicking human behavior

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