Generative AI and Education Quiz
Quiz
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Professional Development
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Professional Development
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Practice Problem
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Easy
Jeff Orvis
Used 3+ times
FREE Resource
Enhance your content in a minute
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one potential problem with generative AI mentioned in the text?
It can replace human teachers entirely.
It can solve complex mathematical problems.
It can create new languages.
It may reproduce biases present in the data.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
According to Leon Furze, what is a recommended step to address AI cheating in assessments?
Use AI to grade all assessments.
Ban all AI tools in schools.
Ignore the presence of AI in education.
Have teachers brainstorm ways to modify assessments.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What tool does Matthew Kay suggest using to monitor students' writing processes?
Grammarly
Draftback
Turnitin
Microsoft Word
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a concern about AI in writing assignments, according to Matthew Kay?
AI can make writing more colorful.
AI can help students write faster.
AI can replace the creation of ideas.
AI can improve students' vocabulary.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the guiding principles for ensuring deeper learning with AI?
Rely solely on AI for teaching.
Eliminate all traditional teaching methods.
Balance AI use with human interaction.
Focus on rote memorization.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential environmental concern related to generative AI?
It helps in recycling processes.
It reduces carbon emissions.
It consumes large amounts of electricity.
It reduces the need for paper.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does John Spencer emphasize as a unique capability of human teachers?
Calculating complex algorithms.
Listening and empathizing with students.
Providing instant feedback.
Memorizing large data sets.
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
According to the text, what is a challenge with the transparency of AI models?
They are always accurate.
They provide too much information.
Their decision-making process is not transparent.
They are too easy to understand.
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