Chatbot Bingo

• 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

1. Participants are each given a Bingo Sheet and a pen if they need it.

2. They move around the space speaking to other participants and trying to find people who have completed the tasks on their bingo sheet.

3. Once they have found someone who has completed a task they should cross it off - you can also ask them to note down the name of the person if you're worried about cheating.

4. If possible, they should also be helping the people they talk to cross tasks off their own Bingo Sheet.

5. Once someone crosses off all of the tasks on the Bingo Sheet they shout "BINGO!" and get the prize - you can stop there or continue but it is usually close to time (we only give out prizes to the first person to shout "BINGO!").

Suggested follow-up

1. After 5 minutes of playing the game bring everyone back for a Think-Pair-Share or group discussion.

2. 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