AI and assessment in higher education

Threat or opportunity? Advice for using, mitigating and embracing artificial intelligence in university assessment, skills development and task design

AI and assessment spotlight image

No sooner had generative AI ignited fears in universities about risk to assessment practices and academic integrity than academics set to working out how to embrace it to save time and enrich student skills such as critical thinking and analysis. This has required consideration of not only how to use artificial intelligence in university assessment in the future but also a rethink of past exam, assignment and evaluation practices. This diverse collection of resources includes advice on how to engineer prompts, use AI for authentic assessment design, whether to lean into AI-detection tools, how to build digital literacy and AI’s role in developing soft skills in lifelong learning.

ChatGPT and generative AI: 25 applications in teaching and assessment

In the second part of their series looking at 100 ways to use ChatGPT in higher education, Seb Dianati and Suman Laudari share 25 prompts for such AI tools to assist with teaching and assessment

Seb Dianati, Suman Laudari

Charles Darwin University

How AI can affect formative and summative assessment design

using AI concept

How students’ GenAI skills and reflection affect assignment instructions

The ability to use generative AI is akin to time management or other learning skills that students need practice to master. Here, Vincent Spezzo and Ilya Gokhman offer tips to make sure instructions land equally no matter students’ level of AI experience

Vincent Spezzo, Ilya Gokhman

Georgia Tech’s Center for 21st Century Universities

AI projection coming out of a laptop

AI and assessment redesign: a four-step process

If GenAI tools have ushered in an era in which institutions can no longer assure the integrity of each individual assessment, the sector must focus on assuring the integrity of awards, write Samuel Doherty and Steven Warburton

Samuel Doherty , Steven Warburton

The University of Newcastle, Australia

Students in an exam hall

Designing assessments with generative AI in mind

A new era of AI requires a balance between thoughtfully mitigating and responsibly promoting student use of new tools

Kate Crane

Dalhousie University

Woman working at computer with robot

Use artificial intelligence to get your students thinking critically

When crafting online courses, teaching critical thinking skills is crucial. Urbi Ghosh shows how generative AI can shape how educators can approach this

Urbi Ghosh

Colorado State University Global

In an artificially intelligent age, frame higher education around a new kind of thinking

One of the helpful by-products emerging from the advent of AI is that we are beginning to reflect more critically on the way we think, writes David Holland

David Holland

University of East Anglia

AI detection, cheating and academic integrity

A human hand writes in a notebook while a robot hand types on a computer

Can academics tell the difference between AI-generated and human-authored content?

A recent study asked students and academics to distinguish between scientific abstracts generated by ChatGPT and those written by humans. Omar Siddique analyses the results

Omar Siddique

The University of Adelaide

Brain supplanted by machine AI

Will ChatGPT change our definitions of cheating?

We can’t yet know if we have a full taxonomy of ChatGPT-enhanced mischief, or whether certain uses should be classed as mischief at all, writes Tom Muir

Tom Muir

Oslo Metropolitan University

Cartoon of a detective with a magnifying glass analysing a piece of paper being held by a robot

Can we spot AI-written content?

A look at common features of LLM-created writing and its implications for how we might assess students’ knowledge and skills in the future

Cesare Giulio Ardito

University of Manchester

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Is it time to turn off AI detectors?

In this extract from their new book, ‘Teaching with AI: A Practical Guide to a New Era of Human Learning’, José Antonio Bowen and C. Edward Watson discuss the reliability of AI detection tools and how to combat cheating without them

José Antonio Bowen, C. Edward Watson

American Association of Colleges and Universities

How hard can it be? Testing the dependability of AI detection tools

Students are using artificial intelligence to write essays and other assessment tasks, but can they fool the AI detection tools? Daniel Lee and Edward Palmer put a few to the test

Daniel Lee, Edward Palmer

The University of Adelaide

Rethinking assessment in an age of AI

Illustration of a man in a rowboat

AI did not disturb assessment – it just made our mistakes visible

If educators don’t understand the learning processes, they also miss the reasons why students cheat, writes Margault Sacré. Here, she offers an approach to motivate and benchmark progress

Margault Sacré

University of Luxembourg

Illustration of robot working on laptop while young man with beard drinks coffee

How generative AI like ChatGPT is pushing assessment reform

AI has brought assessment and academic integrity in higher education to the fore. Here, Amir Ghapanchi offers seven ways to evaluate student learning that mitigate the impact of AI writers

Amir Ghapanchi

Victoria University

Four stages of robot evolution concept

Four steps for integrating generative AI in learning and teaching

From class preparation to critical thinking and reflection, this four-step checklist will help university teachers support the ethical and informed use of artificial intelligence tools in the classroom

Zheng Feei Ma, Antony Hill

University of the West of England Bristol

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Charting the future: ChatGPT’s impact on nursing education and assessments

Interactive workshops and user-friendly guides can unlock the potential of ChatGPT in assessment and overcome initial hesitation around its use. Here, Dianne Stratton-Maher looks at ethical and responsible use of generative AI

Dianne Stratton-Maher

University of Southern Queensland

A checklist for inclusive assessment and feedback, in a post-ChatGPT world

A checklist for creating inclusive assessment and feedback practices that help to improve student learning experiences and respond to challenges posed by ChatGPT

Zheng Feei Ma, Kim Duffy

University of the West of England Bristol

Understanding the potential of AI

Business students writing prompts for AI

Embrace AI tools to improve student writing

Rather than trying to keep it out of the classroom, here are ways faculty can facilitate more effective use of ChatGPT for writing assignments

Pamela Bourjaily

University of Iowa

A robot and human hand put two jigsaw puzzle pieces together

Rather than restrict the use of AI, let’s embrace the challenge it offers

Using the AI Assessment Scale, we can equip students with the skills they’ll need for the future workplace. Mike Perkins and Jasper Roe explain how

Mike Perkins, Jasper Roe

British University Vietnam, James Cook University Singapore

A hand reaches for a wooden block displaying "AI"

We should be thinking about assessments and AI in a completely different way

Let’s embrace the benefits of AI rather than fearing its impact on academic misconduct. Dilshad Sheikh offers her tips on adopting new technology in pedagogy

Dilshad Sheikh

Arden University

AI in balance concept

The ‘deep learn’ framework: elevating AI literacy in higher education

AI literacy is no longer a futuristic concept; it’s a critical skill for university students. The ‘deep learn’ framework offers a comprehensive approach to enhancing literacy around artificial intelligence and application in higher education settings

Birgit Phillips

FH Joanneum University of Applied Sciences

Leveraging LLMs to assess soft skills in lifelong learning

Leadership and critical-thinking skills are difficult to measure. Here, Jonna Lee offers case studies that test the idea of integrating LLMs into assessment practices as a feedback tool to empower both students and instructors

Jonna Lee

Georgia Tech’s Center for 21st Century Universities