WEEK 2 GENERATIVE AI IN HIGH ED

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Last updated 9:17 PM on 9/26/26
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16 Terms

1
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Four "Good" advantages — name 2:

Enhancing the Learning Experience; Instructional Benefits (also: AI Benefits for Reading; AI Benefits for Writing)

2
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Four "Bad" disadvantages — name 2:

Fabricated Literature Reviews; Misrepresentation of GenAI Output as Your Own Work (also: Plagiarism; Refinement and Fabrication of Fake Content)

3
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Four "Ugly" negative externalities — name 2:

Composing Essays and Computer Programming (reduced cognitive engagement); Labor Arbitraging (also: Inflated Self-Efficacy; Cognitive Decline)

4
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approaches to literature reviews — list 3:

Exploratory reviews; Integrative reviews; Meta-narrative reviews (also: Critical reviews; Meta-analysis; Meta-regression; Mixed research syntheses)

5
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T/F: Citation fabrication in 18% of ChatGPT-generated literature reviews in one study.

True

6
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Citation fabrication attributed to GenAI being fundamentally a text transformer rather than an information retrieval system.

False

7
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Yeardon et al. showed GenAI is very effective at producing high-quality physics essays.

True

8
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Westfall's research shows GenAI does poorly on the USMLE.

False

9
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Bartz et al. v. Anthropic ruled that harvesting copyrighted materials for LLM training is justified under "fair use."

YES

10
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T/F: No evidence that GenAI use in essay writing reduces cognitive load enough to interfere with cognitive engagement.

False

11
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Evidence GenAI users show different patterns of cognition.

YES

12
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Klopfer MIT study — which control group showed greatest understanding?

students who used only a search engine (100% passed)

13
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Which group completed assignments fastest?

students who used ChatGPT

14
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Term for using GenAI to reduce labor costs:

Labor arbitraging

15
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T/F: Cognitive offloading to GenAI has NOT been shown to negatively correlate with critical thinking.

False

16
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YES/NO: Can our experience with GenAI confirm the Dunning-Kruger Effect?

No