Literary Themes and Genetic Data

Literary Themes and Genetic Data

Assessment

Interactive Video

English, Arts, Philosophy, Moral Science, Education

10th Grade - University

Hard

Created by

Olivia Brooks

FREE Resource

The podcast features a conversation with Margaret Atwood, discussing her book 'Hag-Seed', a reimagining of Shakespeare's 'The Tempest'. The discussion also touches on Bob Dylan's Nobel Prize and its cultural significance. The podcast explores themes of power, revenge, and forgiveness in 'The Tempest'. Additionally, it delves into the implications of cloud computing for genetic data privacy and the development of empathy and narcissism in children.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main theme of the podcast 'Think Again'?

Interviewing only authors and poets

Focusing solely on scientific discussions

Exploring unexpected conversation topics

Discussing prepared topics with guests

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Margaret Atwood's 'Hag-Seed' based on?

Macbeth

The Tempest

A Midsummer Night's Dream

Hamlet

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In 'The Tempest', what character influences Prospero to forgive his enemies?

Antonio

Caliban

Miranda

Ariel

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Margaret Atwood suggest about the character of Prospero in 'The Tempest'?

He is a minor character

He is a straightforward hero

He is a complex and ambiguous character

He is purely a villain

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role does Estelle play in Atwood's 'Hag-Seed'?

She is a theater critic

She is Felix's enemy

She is a symbol of benevolent fortune

She is a prison inmate

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Atwood imply about Shakespeare's plays?

They are straightforward and simple

They are open to multiple interpretations

They are only about revenge

They lack depth and complexity

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major concern with storing genetic data in the cloud?

Data being too large to manage

Inability to analyze the data

Potential privacy breaches

Lack of access for researchers

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