Schedule an engaging, playful shareback (including dramatic readings of generated text) immediately after the Generation activity¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

When delivering the LLMs Unplugged Fundamentals lessons, the author recommends that facilitators leave space after generation for groups to share their model's output aloud. The author observes that “the room really starts to buzz duringGenerationwhen we go around the room and people get to share what came out of their new model,” and that having each group perform a dramatic reading of their generated text amplifies this effect. From this point on, engagement and the quality of participants' questions about LLMs both improve.

Design Implications¶

Context¶

Requirements¶

• Enough session time after the Generation lesson for groups to share generated text with the room

Constraints¶

Target Learners¶

• workshop participants from high-school age to senior executives

Target Learning Goals¶

• engagement with and demystification of how language models generate text

Claims¶

• Workshop engagement reaches an inflection point at the first shareback of newly generated text, after which participant questions about LLMs become more incisive [+W]

Related Strategies¶

Examples¶

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Key Sources¶

• Ben Swift. (2026). LLMs Unplugged: Teaching Resources for a ChatGPT World. 28th Australasian Computing Education Conference (ACE 2026). https://doi.org/10.1145/3786228.3786237