GEN-AI AND HIGHER-LEVEL ASSIGNMENTS:


START using GenAI


Suggestion Why?

Treat the introduction of GenAI into your classroom in the same way as you would any other eLearning tools, and use frameworks, like Gilly Salmon's e-tivities, and Diana Laurillard's Conversational Framework, to manage the process.

There is no point trying to reinvent the wheel, there are a number of excelletn models to assist in the introduction of eLeatning into the classroom, have a look at them.

When teaching about academic writing, citation and referencing; as well as academic practice and plagiarism, use GenAI as an example of what to do, and not to do. Communicate clear expectations to learners. 

GenAI is a really great tool to explore the meaning of academic fairness, and the importance of the quality of your sources. Suggested citation process below.

Give the learners an assignment, and ask them to ask GenAI for the solution to the assignment. Ask them to submit that as a “first draft”, and then ask them to rewrite and refine that answer with more detail, and references. 

This can be really helpful for a number of different reasons:

  • It gets the learners understand the weaknesses of GenAI
  • It helps their discernment.

After you have finished teaching a topic, get the learners to ask GenAI to give a summary of that topic. Now, in groups, get them to review the strengths and weakness of that summary.
  • What points did GenAI pick as key?
  • What did GenAI leave out?
  • Is there any new terminology used?

This can be really helpful for a number of different reasons:
  • It gets the learners working in groups, and sharing ideas
  • It helps them to revise the key points of the topic
  • It helps their discernment.

Pick a particular topic, and write a summary of it yourself, and ask GenAI to do a summary also. Give the learners a copy of both, and get them (in groups) to guess who did which, and look at the strengths and weaknesses of both. Also reflect on what phrasing and grammar makes it easy to spot text from GenAI.

This can be really helpful for a number of different reasons:
  • It gets the learners understand the weaknesses of GenAI
  • It helps them to revise the key points of the topic.
  • It helps their discernment.

Pick a particular topic, and ask GenAI to create a quiz around that topic. Give the learners the quiz, and get them (in groups) to look at the strengths and weaknesses of the quiz.

This can be really helpful for a number of different reasons:
  • It gets the learners understand the weaknesses of GenAI
  • It helps their discernment.

Get the learners to ask GenAI a question about a particular topic, now get them to rephrase the same question in two different ways, and check if GenAI gives the same answer each time.


This helps the learners understand that slightly rephrasing questions can get GenAI to give different answers. Get the learners to share their outcomes with the whole class, because this will work for some learners, but not others.

Get the learners to ask GenAI questions about a particular topic that you have taught them, and get them to keep exploring the topic until they find an incorrect fact, or a bad argument, about the topic from GenAI (or until they have asked 25 questions).

This can be really helpful for a number of different reasons:
  • It gets the learners understand the weaknesses of GenAI
  •  It helps their discernment and judgement.

Bryan Boyle suggests:
"Get the learners to create a ‘case study’ using GenAI, and then ask them to submit a critique of the generated ‘case study’"

To help the learners, you could consider creating a Checksheet of the key characteristics of a case study in your discipline,  the first checksheet on this page, is an example.


This can be really helpful for a number of different reasons:
  • It gets the learners understand the weaknesses of GenAI
  •  It helps their discernment and judgement

Waqar Shahid Qureshi highlights the potential benfits of GenAI in teaching, and notes that when delivering a Computer Vision course, he "provided students with starter codes and asked them to experiment with it using images they had to capture themselves, while also asking them to do reflection on their process in the report".

This can be really helpful for a number of different reasons:
  • It gets the learners understand the weaknesses of GenAI
  • It helps them to revise the key points of the topic.
  • It helps their discernment.






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If you have any comments and suggestions, send me an email at DamianTGordon(a)gmail.com