Chatbot Bingo
Every participant is given a 'bingo' card with a grid of 6-9 activities that can be completed by or with significant help from a Generative AI Tool. They move around the room speaking to each other to try and find people who have used Generative AI to complete the tasks on their card and when they do they can cross that off. The first person to cross off all of the tasks on their card shouts out "BINGO!" to win the game.
The purpose
Facilitate participants in a training session to begin sharing their own experiences of using Gen AI
Give participants ideas for how they could use Gen AI in their own contexts.
Move focus away from some of the challenges by creating a space where staff in HE can explore opportunities without worrying about academic integrity.
Help colleagues interested in using Gen AI to meet & make connections.
What you need
Setting it up
You can either create your own bingo cards by inputting a list of Gen AI tasks you've identified into a ChatBot such as Chat GPT and providing an appropriate prompt (Eg. 'Organize this list of tasks into 15 3x3 bingo cards: [list]') or use our 4x4 Bingo Cards shared under the CC YB SA License
We had to do this in batches of 15 bingo cards at a time.
Print out the Bingo Cards ahead of the session.
Ensure you have pens on hand for participants to cross tasks off their bingo sheet.
Secure a prize for the winner - we use Candy Kittens because they are both vegan and sustainably-sourced.
How long does it take?
We suggest 5 minutes individual game play and 3-5 minutes group discussion.
How it works
Participants individually open Real Or Fake Text game using a personal device.
They choose a category - Short Stories, Recipes, New York Times, Presidential Speeches or Random.
They are shown an initial human written sentence and a second sentence and asked to identify whether the second was written by a human or a computer.
If they choose "this sentence is computer generated" they are asked to suggest why (eg. grammar).
They are then told if they were correct or incorrect and will be given another sentence until they have either read all 8 or have correctly identified a computer generated sentence.
Suggested follow-up
After 5 minutes of playing the game bring everyone back for a Think-Pair-Share or group discussion.
Ask participants to reflect on what helped to identify computer generated text and how this differs from identifying unethical Gen AI use among students.
Where it works well
Within small groups exploring the impact of Gen AI in Higher Education
As part of marking calibration sessions as a fun ice-breaker before a discussion on a shared approach suspected inappropriate use of Gen AI
What to watch out for
As a short game it does not fully represent the experience of faculty undertaking marking of assessments where the whole piece can be taken into consideration, not just a single line.
Resources
Authorship
This entry was written by Maria O'Hara.