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Developing guidelines for responsible GenAI use in assessments

Matalena Tofa profile photo

Dr Matalena Tofa

GWP 900/GWP 901

Learning, Teaching and Curriculum (LTC)

Matalena developed guidelines for Generative Artificial Intelligence (GenAI) use in assessments in GWP 900 and GWP 901, career development learning subjects for postgraduate students. She wanted her students to be able to make informed choices about whether and how they use GenAI, both in their learning and in preparation for their future work. 

The assessments in GWP 900/901 are primarily text based and do not require the use of GenAI, but Matalena wanted to create a safe space for learning in which students who choose to use GenAI could practice doing so responsibly and transparently. In this showcase, Matalena outlines and reflects on her journey from her considerations when creating the guidelines to receiving and reviewing students’ assessment submissions.

How?

We hear Matalena Tofa from Learning Teaching & Curriculum introduce herself and explain what she wanted her students to achieve when she decided to develop these guidelines.

 

Matalena: My name’s Matalena Tofa and I’m a senior lecturer in career development, learning and work integrated learning. And this semester and trimester, I’m teaching postgraduate subjects that are focused on career development learning. And so some of the things at a big picture level that I was hoping to achieve were that students could make informed choices about whether and how and when they use Generative AI both to support their learning and as a future professional.

And secondly, is that students can use Generative AI tools for the sense of criticality and have the confidence and knowledge to question and evaluate the output it generates.

And thirdly, that students would be able to use Generative AI in ways that are consistent with instructions and policies, and which possibly sounds a bit boring.

But I think it’s important as a professional because if you’re using it in your future career, you need to use Generative AI in ways that are consistent with company policies and legislation and professional standards and so on.



Deciding on the guidelines

To decide on the guidelines she wanted to provide her students, Matalena went on a research journey that involved readings on:

  • Generative Artificial Intelligence – Matalena explored a wide range of sources, from podcasts to journalism to scholarly articles by scientists, linguists, sociologists and more. In this research, she sought to better understand aspects like how Large Language Models and GenAI work, how this technology has been developed, and its ethical and environmental impacts. This exploration helped to inform her position on GenAI in her teaching and learning practice.
    Note: A curated list of these resources can be found in the Additional resources section at the bottom of this page.
  • The process for completing assessments – Assessing ways in which GenAI could be used requires a shift in focus from the final product of an assessment (such as an essay or a report) to the process involved in completing the assessment (Hsiao et al., 2023). TEQSA’s Assessment reform for the age of artificial intelligence also proposes that assessments should emphasise and evidence “the process of learning over time and in context [to] support a better understanding of learners’ sense-making process, what they ultimately know and can do” (Lodge et al., 2023, p.4).
  • Existing guidelines – Matalena also drew on examples of guidelines and responses by academics worldwide, particularly the ones that took into account critical AI literacies and the process for completing assessments. Gutierrez's (2023) guidelines, for instance, achieve this while drawing a distinction between low-risk forms of AI that are already embedded in everyday tools (e.g., spellcheck), and GenAI as a high-risk form of AI which requires guidance to support learning.
  • The UOW Assessment and Feedback Policy

 

 

Matalena: I think that was sort of the last step in my puzzle piece of determining, you know, if the question is how much AI is too much? I turn to our assessment of feedback policy to try and figure that out. So in our policy, we say that one of the purposes of assessments is to facilitate students to demonstrate progress towards achieving learning outcomes or to evidence their achievement of the subject's learning outcomes. And so if I flip that into a question for GenAI use that becomes if GenAI is used for brainstorming, can the student still evidence their achievement of the subject learning outcomes? If GenAI is used for editing, can they still evidence their achievement of the subject learning outcomes?

And then the next piece that I found really helpful in our assessment of feedback policy was the principle that our assessments tasks are designed for learning, so they should enable student learning, facilitate sustained and self-regulated learning. And I apologise if that’s an incorrect paraphrase of our policy. But then the question then became if GenAI is used in particular way as well, it still enables student learning essentially. And I had a number of quite detailed considerations of making those kinds of choices.

And it was, I think in every instance, you know, an evaluative judgement kind of going on balance the potential risks or harms to student learning of this use of GenAI probably outweigh the potential benefits. Other of the potential benefits of their and we just need to take these risks into consideration and how we teach it. So as I was developing my guidelines, I shared them with an educational designer in LTC for feedback from an educational design perspective, of course, and also to ensure that they were consistent with our teaching and assessment policies.

And I also shared them with a colleague in AQS. And again, to get that academic integrity and policy perspective on them. And of course with my immediate colleagues and teaching team to get their feedback and questions. And at each time, you know, there were helpful suggestions and bits of feedback to help refine them and yeah, get them to state that they could be shared with students.

 

Introducing the guidelines to students

Matalena: “I introduced the guidelines to my students in a number of ways."

  • Subject Outline: In the Additional Information about Assessments section, I included the principles for GenAI use for this subject – essentially, that the use had to be informed, purposeful, responsible and transparent.

  • Guidelines for GenAI use: On Moodle, we have a specific section that includes a video explaining my reasoning for having these guidelines and the four principles described in the Subject Outline, but here in more detail. This section was also where I added resources students asked for during the semester, such as how to share a record of their chat-log when using different GenAI tools. This was also covered briefly in the first lecture.

  • Assessment instructions and template: In the assessment instructions, I used the traffic light system, highlighting which uses were green (permitted without acknowledgement), yellow (permitted with acknowledgement), or red (not permitted).
    Matalena Tofa - Traffic Light GenAI Table
     

    The image is a colour-coded table that outlines the permitted and not permitted uses of AI tools in assessments, divided into three sections:

    1. Use permitted without acknowledgement (Green background):

      • Low-risk AI tools, such as Microsoft spellcheck or Grammarly, can be used without acknowledgement.
    2. Use permitted with acknowledgement (Yellow background):

      • GenAI can be used in this assessment for specific processes, including:

        • Idea generation and brainstorming
        • Checking for grammatical errors, punctuation mistakes, and other language-related issues
        • Editing assistance for specific sentences or phrases (e.g., "what's another word for...?")
      • This use must be informed, purposeful, responsible, and transparent.

    3. Use not permitted (Red background):

      • The following uses of GenAI are not permitted to ensure the effectiveness and validity of your learning in this assessment:

        • Generating a first draft or generating assessment responses
        • Revisions and extensive editing, such as refining style and tone of your text (e.g., "rewrite this in an academic style") or translating your work (e.g., "rewrite this in English")
        • Research assistance, including finding information (e.g., "which websites or articles should I read on this topic?"), drafting summaries of information (e.g., "write a summary of this required reading"), or explaining terminology
      • Using a GenAI tool in these ways is considered a breach of the Academic Integrity policy.

    At the bottom of the table, there is additional text stating: "If you want to use, or have used, a GenAI tool in a way that is not identified here, please contact the subject coordinator before submitting your assessment."


     
    The template, adapted below, allows students the opportunity to acknowledge any use of GenAI tools that fell under the yellow category.

    Only complete this section if you have used a GenAI tool (e.g., ChatGPT) when writing this assessment.
    • Generative AI has been used in this assessment for the processes identified below:
      • Idea generation and brainstorming (Checkbox)
      • Checking for grammatical errors, punctuation mistakes, and other language-related issues (Checkbox)
      • Editing assistance for specific sentences of phrases ('what's another word for...?') (Checkbox)
    • I confirm that my use of the GenAI tool for this assessment is informed, purposeful, responsible, and transparent. (Checkbox)
    • I have attached a copy of, or link to, my use of the GenAI tool as an appendix to this assessment (Checkbox)


Matalena: “Once guidelines and expectations had been introduced and explained, it was time to give students practice opportunities in tutorials. We had an initial tutorial activity, before the first assessment which focused on evaluating text produced by GenAI. I provided a sample output that was relevant to the assessment we were working on. Alternatively, students had the option to generate their own output in class. The focus was on showcasing responsible uses of the tools in the context of this subject, and allowing students the opportunity to evaluate the output and check whether it is relevant and accurate.”   

 

Matalena: So because I’m trialling these guidelines this semester, I’m hoping to get feedback in a couple of ways. So firstly, informally. So as I explained the Generative AI guidelines in my first classes, I ran quick polls in the lecture, just as a kind of temperature check. Do these guidelines make sense? Are you okay? Are you interested? Are you horribly confused? That sort of thing? And it had a really positive response there. So people seem quite comfortable with the guidelines and comfortable to ask further questions if they needed based on that really quick light touch feedback.

But in a more formal sense, we can integrate custom questions into our subject evaluations at the end of the semester. So I’ve integrated two questions into those surveys that will go out to students at the end of the semester to ask for specific feedback on whether they found the guidelines helpful and if they have any suggestions to help improve them in future.

 

Developing and implementing the guidelines with a broad teaching team 

While still developing the guidelines, Matalena consulted with colleagues in Learning, Teaching and Curriculum (LTC) and in Academic Quality Standards (AQS). She then held meetings with the team of lecturers involved in the subject to ensure that everyone understood and was comfortable with the position being taken on GenAI tools. She also met with her sessional teaching team and talked through the guidelines, sharing with them the resources available to the students. 

Implementing the guidelines

Matalena: “In terms of marking, the tutors used a spreadsheet to enter whether students had acknowledged GenAI use and any additional comments or concerns the tutors had around this use. I then looked quite closely at these because I am interested in how students have used these tools in their assessments. For the tutors, this was no different to how they would interact with any other suspicion of academic misconduct. They just needed to note it, as they would note plagiarism for instance, and notify me as the subject coordinator.”

"I really appreciate that students have responded to the guidelines and taken efforts to use GenAI in a transparent way – and that they trust the guidelines/process to be able to do that."
- Matalena Tofa

 

Reflections and future plans

Matalena reflects on her experience after seeing her students submit their first assessment using the guidelines, and shares her plans for refining them in the future.

 

Matalena: We’ve had our first assessments come in, and so it’s just been really exciting to see how students have responded to the guidelines and that they are, you know, some are acknowledging the use of Generative AI and providing, you know, evidence that’s that makes that use transparent. So it’s been really exciting to see that.

So in future iterations of my subject and future teaching, there are a number of things that I’d like to change. I’ll just get better at. So one is looking at the guidelines I’ve developed and the assessment templates and just making them as robust and simple as possible, simple and clear as possible. Really. Another sort of aspect is that at the moment I feel like I’m trying to balance how much time do I give to a critical AI literacy and how much time am I giving to the actual content of my subjects because I’m not teaching about AI.

And so I’d like to get better at embed critical AI literacy into the content of the way we’re teaching. And so I think navigating that balance and that integration of critical AI literacy into the subject is something that I hope to be able to progress over time. I would also like to explore how best to articulate my positioning on Generative AI for student audience so that guidelines and the templates and things I’ve developed are really framed around our assessment of feedback policy and the language of academic integrity and things that make sense to me as an academic.

And the last thing that I’d like to explore or improve at in future is around the topic of GenAI misuse. So having guidelines in place doesn’t actually make misuse of Generative AI go away, but I find it a really tricky space to navigate because, you know, there’s lots of research that shows that false accusations of academic misconduct can do a lot of harm to students, and we don’t have great ways of identifying where AI has been misused in our assessment. So I think navigating that space in a way that’s genuinely educative and upholds academic integrity is something that I’d love to continue exploring and getting better at.

Advice for Colleagues

 

Matalena: And so in terms of advice that I have for others hoping to explore the space or develop guidelines, it’s tricky because I feel like such a beginner as well. But of course, I mean read, read widely, do some research. I think having, you know, being informed makes you able to make good, responsible choices in the space. And that was something that I hope to have for my teaching practice as well.

My second sort of thought there is to talk with others and get advice and feedback. So I gained a lot from sharing my guidelines with LTC, with AQS, with my immediate colleagues as well. Getting their feedback, if possible would be fantastic to get feedback from students as well on the guidelines and see, do they make sense? Do they resonate? I think that would be fantastic.

The other kind of design consideration that I took into account was the need for simplicity and clarity because it’s of course possible that students will be encountering multiple different rules or requirements in relation to GenAI use at the moment. So making sure that whatever it is that you’re setting up is simple and clear and easy to use.

And lastly, and I think I possibly didn’t do this enough, but just giving consideration to how you’ll teach to the guidelines. So, having the guidelines in place is one thing, but how, how will you integrate that into your teaching? How will you, how will you teach the guidelines as well?

 

References

Gutierrez, J.D. (2023). Guidelines for the use of artificial intelligence in university courses (version 4.3). Universidad del Rosario. https://forogpp.com/wp-content/uploads/2023/02/guidelines-for-the-use-of-artificial-intelligence-in-university-courses-v4.3.pdf

Hsiao, Y.-P., Klijn, N., & Chiu, M.-S. (2023). Developing a framework to re-design writing assignment assessment for the era of Large Language Models. Learning: Research and Practice, 9(2), 148-158. https://doi.org/10.1080/23735082.2023.2257234

Lodge, J. M., Howard, S., Bearman, M., Dawson, P, & Associates (2023). Assessment reform for the age of Artificial Intelligence. Tertiary Education Quality and Standards Agency.
 
 

Additional resources

This section contains a list of resources curated by Dr Matalena Tofa during her research. 

About GenAI & LLMs


Substacks & Blogs


Podcasts


Ethical/Social/Environmental impacts


GenAI in Education & Learning

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