BoreNO

Generative Ai

Designed for BBA Students Final Year to spark real collaboration and high-energy learning.

No extra context provided.
Icebreaker
Activity 1

AI Fact or Fiction: Lightning Reveal

Kick off with jaw-dropping AI claims. Students vote before seeing the surprising truth, exposing how much they know (or don’t) about generative AI.

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Why this works

Prediction before reveal triggers curiosity and makes learning stick. Misconceptions get surfaced and corrected in a safe, low-pressure way.

Icebreaker
Activity 2

AI Misconception Match-Up

Students pair up and match common myths about generative AI to the actual facts, using real examples from social media and pop culture.

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Why this works

Peer comparison lowers risk, exposes hidden gaps, and normalizes error as part of learning.

Icebreaker
Activity 3

One-Sentence AI Prediction

Students anonymously submit a one-sentence prediction about how generative AI might impact their future careers. Results are instantly visualized as a word cloud for the whole room.

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Why this works

Low-pressure, anonymous input gives everyone a voice and shows collective curiosity and diversity of views.

Icebreaker
Activity 4

AI Scenario Showdown

Students vote and react live to a realistic dilemma: Should a college use generative AI to automate grading essays—yes or no? Rapid reactions create energy and debate.

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Why this works

Active voting and quick reactions engage everyone and reveal real opinions, triggering intense group participation and debate.

Icebreaker
Activity 5

Generative AI Ethics Dilemma

Teams debate a real-world decision: Should a fashion brand use generative AI to design new clothes, risking copyright issues? Groups must choose and justify their stance.

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Why this works

Giving students a tough choice connects learning to real-world business dilemmas and drives active reasoning.

Icebreaker
Activity 6

Future Self: AI-powered Challenge

Students select a real business challenge—like launching a product, analyzing customer data, or marketing a college event—and brainstorm one way generative AI could solve it. Then they swap ideas with a peer.

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Why this works

Linking abstract concepts to personal goals and peer sharing boosts internalization and makes AI relevant to their actual ambitions.

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