Learn how you can use generative artificial intelligence (GenAI) at CCCU and what conditions the University has put on its use.
Our approach to GenAI is educative, rather than punitive. 'Educative' means 'learning with and about'. Therefore, you can use GenAI tools to complement your learning but not to replace it. You may not use GenAI to produce work for assessment, unless explicitly told to do so by your module lead. Here, we explain how to use GenAI tools effectively, ethically and responsibly.
If you are unfamiliar with the language of GenAI, you can to refer to the glossary in the FAQs. There you will find definitions of key terms such as 'generative artificial intelligence', 'ethics,' and 'prompts'.
GenAI refers to a wide range of technologies that use artificial intelligence algorithms to create new content, such as text, images, audio, or code from written instructions called ‘prompts’. GenAI is built into applications we use every day for our study, work, and leisure, from ordering a cab, getting a parcel delivered, or tagging a person in a photo on social media.
For a short introduction to what GenAI is and how it works, watch this video.
Before we look at how GenAI can be used, consider whether you really need to use a GenAI tool for your task. GenAI has a large carbon footprint and consumes large amounts of energy and water, which have consequences for our environment. Being aware of these impacts helps us to make informed choices when it comes to our personal responsibility towards sustainable education and living.
Look at the slides below to learn about the environmental impact of using GenAI to write an email:
We all have a responsibility to make environmentally conscious decisions. Having an awareness and understanding of the environmental issues in using GenAI allows us to make informed choices when it comes to our study.
Here are some examples of alternative uses of GenAI in your study:
| I have a query about my subject |
Can you use a search engine for your query? Try using environmentally conscious search engines such as Search for Trees, Ecosia or Oceanhero. |
| I want to find information on my subject for my research | Can you find the information you want directly from a reliable, online database? You can find the best databases for your subject using your library subject guide. |
| I want to check my reference list |
Can you access Cite Them Right? This website is used as the referencing standard for CCCU. |
| I need help with my time management |
Can you consult your Learning Developer for ways to improve your organisation and time management? You can book a tutorial with your subject Learning Developer through the Learning Skills Hub. |
GenAI has a broad range of uses. However, not all of these are appropriate for your study. This section explains appropriate and inappropriate uses.
You may use GenAI tools for:
*See the FAQ 'How do I avoid academic misconduct when using digital tools for proofreading?' at the bottom of the guidance for more information.
You may not use GenAI applications for:
*your module assessment will be rated 1-5 using the Artificial Intelligence Assessment Scale (AIAS). If your assessment is specifically and explicitly designed to use GenAI it will be rated 3, 4 or 5 and this will be written into the module handbook. Your module leader will offer you futher guidance.
It can be difficult to know what is acceptable use of GenAI. These slides show fictional case studies to give examples of acceptable and unacceptable uses of GenAI at University. Click through the slide show to learn where the students' actions sit on the scale of acceptability.
GenAI can be a powerful tool for enhancing your research capabilities. However, these benefits should be balanced against the risks and it is important not to become dependent on GenAI for thinking. GenAI can be useful as a research assistant or learning partner; it can supplement your own research and critical thinking skills, not replace them.
If you are a final-year Undergraduate, Postgraduate research student, or researcher, please also refer to our additional research guidance: Using generative AI in research: A checklist
GenAI tools, when used appropriately and thoughtfully, can be very useful for research. They can retrieve data, summarise it, present it in a variety of formats, allow you to manipulate and tweak the data, and they can do all of this very quickly. The instructions or questions that you put into a GenAI chatbot or image generator are called 'prompts'.
Here are some steps you can take to use search prompts effectively and ethically.
AI-generated information and data should be cross-verified with other sources, methods, or theories to ensure accuracy and reliability. To verify sources and references generated using AI tools, it’s important to carry out further research using reading lists/recommended sources, and traditional, retrieval-based search tools such as Google Scholar, LibrarySearch, relevant online resources, and databases.
Triangulation is a research technique that involves cross-verifying information from multiple sources. It enhances the validity and credibility of research findings. The poster below shows how GenAI tools relate to literature searching practices.
Whilst helpful, GenAI does not know anything. GenAI tools often produce content with a confident, authoritative style. However, this content is produced by algorithms based on probability, not a person with the ability to think, understand, or critically evaluate. You are always the best judge of what is appropriate or relevant, so view any information given or content generated with caution and a critical eye.
Your work should always strike a balance between your ideas and research, and ideas of others. An over-reliance on GenAI may hinder your own critical skills development. You might use GenAI to help you to develop ideas or identify relevant sources during the research process, but you should analyse outputs and integrate them with your work in a thoughtful way, acknowledging the work of others with accurate in-text citations and referencing.
For guidance on thinking critically about the information you use, watch this video that explains using the BREAD tool developed by one of CCCU's Learning and Research Librarians, David Bedford. The BREAD tool can also be applied to GenAI, as you can see in the graphic below.
GenAI tools can produce images, text, code, sound, video, and many other outputs. But they do not have an imagination of their own; they create content based on probability from your prompts. Although their output can provide initial ideas or inspiration, you should use your own creativity to build upon these ideas, whatever the medium. Your tutors value originality and creativity.
Your module leads may use the Artificial Intelligence Assessment Scale (AIAS) to 'rate' your module assessments according to how much GenAI interaction they will allow for your assessments. This will be communicated to you through your module handbook and assessment guidance.
Always check and follow the guidance provided by your lecturers if you are considering using GenAI for your academic work.
GenAI can make language learning more effective and more accessible; it can be engaging and fun. Using GenAI tools can enhance the development of academic writing skills by offering a more sophisticated self-directed practice. However, they should not be used to replace your written work, by copying content or to prevent you developing your writing by uncritically accepting corrections or edits to your work.
GenAI chatbots are trained to be generalist. Whilst they can mimic particular writing styles, the text they produce is rarely nuanced and specific enough to provide academic writing of the level required at University.
Remember that to use GenAI tools with integrity, use must be declared and fully referenced.
Click through the slides below for examples on using GenAI to develop your written work and for some example prompts. For further guidance on academic writing skills, visit the Learning Skills Hub.
GenAI tools can be very helpful for preparing visual aids for presentations. They can be used to produce images, infographics, and visually appealing layouts for slides. Be aware that image generation is also subject to bias and inappropriacy. See the section on image generation below for more information.
Writing for speech is different to writing essays or reports. As you will be speaking the words out loud, you will need to adapt to shorter sentences that suit the cadence of your voice. GenAI tools can help to shorten and simplify sentences for speech, or transcribe your speech so you can refine it further. However, ensure you retain the academic detail necessary to meet your learning outcomes and do not over-simplify.
Only use GenAI to produce work for assessed presentations with the explicit permission of your module lead. Ensure the content is derived from your own research and you have thought about it critically.
Remember that to use GenAI tools with integrity, use must be declared and fully referenced.
Visit the Learning Skills Hub for further guidance on presentation skills and academic poster design.
See the graphic below for some of the 'do's and don’ts' when using GenAI for SPaG.
The most common use of GenAI tools is to correct spelling, grammar, and punctuation (SPaG). However, we have all experienced an incorrect auto-correct! It is important to recognise that GenAI tools for spelling, punctuation, and grammar cannot replace learning grammar and writing skills. It is a requirement of University education that you graduate with advanced writing skills.
The good news is that GenAI chatbots make excellent tutors in this area. Using the GenAI chatbot in this way will help you shift your focus from an emphasis on accuracy and correction to learning and development.
Ask a chatbot to identify the common SPaG errors in your work, rather than correct them. Then ask for an explanation of how to correct those errors and make the corrections yourself. You can return the text to the chatbot and see if it has further recommendations. Some tools provide reports, which you can use to improve your writing and avoid the same mistakes in the future.
Be sure to specify that you want the rules of British English, or your work will be Americanised. Do not accept suggestions for words for which you do not know the meaning. The vocabulary suggested by some GenAI tools can be invented or used entirely out of context.
Remember that to use GenAI tools with integrity, use must be declared and fully referenced.
For further guidance, see the Learning Skills Hub module on SPaG.
GenAI tools can generate images and artwork from written text prompts. These images might provide inspiration or starting points for your own projects.
In the graphic below, you will find some examples of potential uses for AI generated imagery.
As with text generated by AI, outputs are dependent on the data the tool is trained with. This means that any biases, assumptions, stereotypes, or other problematic content present in the data will be reflected in the images produced.
Look at the examples below of problematic image generation.
GenAI tools such as GitHub Copilot can be useful for developing computer code. However, lecturers will be assessing your ability to create and modify code, problem solve and understand coding concepts, so use these tools for learning.
As with text and images, GenAI coding tools work on probability and may struggle with understanding nuances and subtleties in user queries or project requirements. They may not always provide effective solutions to complex problems. The quality of responses can vary significantly based on the query's complexity and specificity.
Other limitations may include:
Always view AI generated or modified code critically and ask yourself if it is efficient and gives the desired output. Most importantly, you should be able to understand and explain how the code works, rewriting, or modifying the code as necessary.
GenAI tools should be used in the appropriate way to support your work and should not be relied upon too heavily. Always ensure you check the specific criteria for each assignment and give a reference for the code in your work.
Look at the poster below for some ideas on how you could use GenAI to help with coding work.
It is always important to differentiate between our own original work and what comes from elsewhere. In academic writing we do this via a system of citations and references. You can find out more about referencing in the Learning Skills Hub module Introduction to Referencing.
We firmly advocate that you use reliable, academic sources for research. Where you use GenAI, you must acknowledge its influence on your work by acknowledging and referencing appropriately. We recommend you follow the links GenAI tools provide to their sources and verify the information’s accuracy and reliability.
Always verify GenAI outputs' truthfulness and accuracy.
Always acknowledge the use of GenAI in your work using the relevant statement provided in your module handbook.
Always reference GenAI in your work. Do not submit work produced in whole or part by GenAI tools, either verbatim or after paraphrasing, without citation. You can learn more about citing and referencing GenAI on Cite Them Right.
There are several different referencing systems used across the University, depending on the subject you are studying. You can find out which referencing system is used by your academic department by checking your module handbook.
There are legal, ethical, and copyright considerations when using any AI generated content. If problematic content is present in the training data, there is the potential to reproduce harmful content. Always proofread, fact-check, and critique appropriately.
Academic integrity is about our responsible sharing and use of information created by others. When you use information from another source, you must always give credit to the author of that work, including information that is generated by AI. Without acknowledgement of the use of a GenAI tool, you risk academic misconduct.
You must acknowledge all use of GenAI in the preparation for assessment and reference its direct use correctly (see the section on Referencing above).
Your module lead will provide further detailed guidance in your Module Handbook.
You engage in academic misconduct if you:
For more information see CCCU's Academic integrity and misconduct page.
Ensure you are familiar with CCCU’s Academic Integrity Policy.
For further guidance, have a look at the Learning Skills Hub module on Academic integrity and plagiarism.
GenAI tools are known to produce false, inaccurate, or misleading information, called ‘hallucinations’. Always apply your critical thinking to any AI-generated output and check the accuracy and currency of information using the BREAD tool.
Many versions of GenAI tools are ‘live trained’, meaning they are connected to the internet and are being continually trained on their users’ prompts. Others are closed systems. Both situations can affect the accuracy of the responses generated in different ways. Be aware of these limitations and their impact on the quality of the responses generated.
GenAI platforms don't take responsibility for the output they produce; you can read the terms and conditions of a platform to verify this. Any output generated should be cross-referenced for accuracy, using authoritative sources, by you as the author of your work.
Find out more about how to identify the source of an online image in the Learning Skills Hub module on analysing and evaluating images.
Try asking a GenAI chatbot multiple times and/or using multiple GenAI chatbots about a topic you already know very well. Compare how it responds on different platforms and at different times. Try spotting any errors in the response. After you have asked a question, you could also try asking, 'What are the potential limitations of this information?', 'How could this be interpreted in another way?' or 'How would you critique this text that I have produced?'
A weakness of GenAI is it's very easy to manipulate – try telling a chatbot its output is incorrect and it will often apologise and give a different answer. Always bear in mind that GenAI cannot think for itself and its outputs are based on algorithms, not knowledge or understanding.
It is essential to know that GenAI platforms may generate answers to your prompts based on the data lakes they have been trained on. Where these data lakes contain biases or misinformation, the output of these platforms may perpetuate these. This can include:
It is good practice to verify outputs by cross-referencing with reliable sources to ensure that they do not contain bias, misinformation, or unverifiable information.
In the UK, copyright law gives a person ownership rights over the things they create unless a copyright exemption exists. GenAI produces outputs based on existing works and training data that may include exact reproductions or illegal copies. This means that, when using GenAI without proper accreditation, you could inadvertently plagiarise or breach the copyright of someone’s work. The Data (Use and Access) Bill is currently under review in the UK so this is developing area of the law. Be aware that this is a complicated and controversial arena, with many arguing that GenAI breaches copyright rules and undermines authors, artists and creators.
Some countries, including Denmark, are proposing allowing citizens to copyright their own faces and voices to help protect their privacy and deter identity theft using GenAI.
We advise that you do not place copyrighted information into GenAI platforms for processing, as the platforms may use it to train their models, which is currently heavily contested. Copyright also relates to your course notes, assessments, slides, etc. and for generating images and videos to recreate close copies of copyright outputs.
You can find out more about the intellectual property and copyright concerns that might arise when using genAI tools by referring to information provided by the National Centre for AI.
GenAI tools pose ethical issues that you should consider when using them for work, research, and leisure. Many issues are still emerging so these are to prompt you to think carefully about how you choose to engage with the tools. Some are discussed in more depth elsewhere in this guidance:
Do not enter personally identifiable or sensitive information into GenAI platforms. Some platforms store the interactions, which may constitute a data breach under the Data Protection Act and UK GDPR 2018. This includes research data. If you need to report a data breach to our Information Governance team, use the data breach report form.
Under 18s are not currently permitted to use GenAI. If you are under 18 you may not legally use GenAI platforms without written parental permission. This includes Copilot, which is provided as part of the Microsoft365 suite. Speak to your Course Director to arrange permission.
Some tools, particularly those that are free to use, will request your permission to access and share user data. Always check the terms and conditions and the data privacy policy before subscribing, and ask yourself the following questions:
It is essential to be aware of the terms and conditions section of the GenAI tools you are using, as each platform that provides these tools has its unique terms and conditions. Look out for provisions such as whether, by using these platforms, you are granting these platforms the right to use the content that you have entered as prompts and the output generated or whether your prompts will be utilised to train their algorithms.
You should always use caution when sharing personal or sensitive information online, including uploading photos.
Microsoft’s Copilot offers commercial data protection through the University’s institutional licence. Your data will not be stored or used to train Microsoft or OpenAI’s models (the company that supplies GenAI capabilities to Microsoft).
To securely access Copilot log into copilot.microsoft.com using your CCCU credentials. You will see a shield symbol when you are successfully logged in.
You should always use caution when sharing personal or sensitive information online, including uploading photos.
Developing your reflective research and critical thinking skills is essential to your responsible use and consumption of GenAI outputs.
GenAI tools are being used to produce deepfakes. These are text, images, or videos which have been digitally altered to deliberately mislead or spread false and defamatory information. Deepfakes can, and are being, used to target individuals and organisations by manipulating images and information posted on social media, or shared digitally. This can be very distressing for the individual(s) concerned. Deepfakes can be extremely difficult to detect, so it is important to view all online content critically and always check the source of any image, video, or information before you reuse or share.
If you have been affected by the inappropriate use of personal images or information, you can contact the University’s Student Wellbeing and Support Team.
It is advisable to never share personal, identifiable information with GenAI platforms, including your own photograph, unless you have checked and consented to the companies’ privacy policies. Do not share others’ personal, identifiable, or sensitive information with GenAI platforms unless you have their express consent. If you do so, you may be in breach of the UKs Data Protection Act 2018 and Europe’s GDPR laws. You may also inadvertently put yourself or others at risk.
As we integrate GenAI into our daily lives, it is essential to consider its potential impact on our mental and emotional wellbeing. Whilst GenAI can be a valuable tool for enhancing productivity and creativity, it is important to maintain a healthy balance and be mindful not to become overly reliant on its responses or let the information it provides overly influence our own thoughts and decisions.
Whilst GenAI has become adept at mimicking human language and conversational patterns, it is crucial to maintain a sense of perspective and not attribute human emotions or intentions to GenAI responses. GenAI cannot replace human connection and social interaction. Social interaction and emotional connection with friends, family, and supportive individuals remains an essential aspect of our wellbeing.
Navigating the world of GenAI requires a balanced approach, embracing its potential whilst maintaining a sense of awareness and responsibility. By fostering healthy relationships with all technology, we can harness its power to enhance our lives without compromising our human connection and wellbeing.
If you feel that your use of technology, whether GenAI or other digital technologies, is impacting on your mental health or wellbeing and you would like to talk to someone about it, then get in touch with CCCU’s Student Wellbeing and Support Team.
Below are some common questions students have asked about using GenAI. Open the tabs to see the answers.
| Artificial intelligence (AI) and generative artificial intelligence (GenAI) | AI is the umbrella term for the technology and the systems created to think like humans. GenAI is a type of artificial intelligence that creates new content based on existing information (data) available online. |
| Artificial Intelligence Assessment Scale (AIAS) | The AIAS is a tool developed by Perkins, Furze, Roe & McVaugh (2024) to help educators 'code' the appropriate level of GenAI us ein the development of work for assessment. All use of GenAI in assessment should be acknowledged and referenced. |
|
Bias |
Bias refers to the learned prejudices in the data that an AI has been trained on. For example, an AI may develop gender, racial, and/or political biases producing stereotypical and/or discriminative content. |
| Being able to think critically means your ability to question and evaluate the information that is presented to you. | |
| Ethics | Ethical use of GenAI is about giving consideration to bias, copyright and your academic integrity to ensure you use any genAI tool with honesty, fairness, respect and responsibility. |
| GenAI tools | These are many programmes and platforms that embed artificial intelligence technology for you to use. An example of a GenAI tool is Microsoft Copilot. |
| Hallucinations | A hallucination occurs when the GenAI tool has created false or misleading information. This can happen because the data the GenAI tool used was incorrect or because the GenAI tool has spliced together information from multiple sources creating inaccurate content. This is why we always need to critically evaluate and cross reference any GenAI output. |
| Prompt engineering and prompts | A prompt is the instruction you give GenAI for it to generate content. This could be a sentence, a description, an order, or a question. Prompt engineering refers to the craft in creating brief, specific prompts for the best generated outcomes. |
GenAI cannot be used in writing your assignments, unless it has been specified as a part of your assessment at levels 2-5 of the AIAS.
The Referencing section of this guidance has advice and Cite Them Right provides guidance and examples for referencing GenAI. Make sure you use the referencing style for your course, found in your course handbook.
The University does not recommend or endorse any specific GenAI tools. GenAI should be used in accordance with the guidance given here.
Your lecturers are your first point of contact to discuss how you would like to work with GenAI to support your learning at University.
You can also contact the Learning Skills Team for further advice and guidance. The Academic Librarians can offer you guidance on your research and referencing, and your Learning Developer can provide advice on your assessments such as essays, reports, presentations and posters. You can learn more about the Learning Skills Team for your course and the support they offer on the Learning Skills Hub.
There is a risk of academic misconduct and plagiarism if you choose not to follow the University guidance on using GenAI. For more information, please refer to the Academic Integrity pages on the Learning Skills Hub, or speak with your course Learning Skills Team for further advice and guidance.
It is important to recognise a website or tool with GenAI integration so that we can identify when a GenAI has assisted with our work and apply the necessary checks (see the limitations and risks of using GenAI).
Many websites and tools are now powered by GenAI such as Grammarly and Microsoft Word. If you are unsure, contact the IT team for guidance.
CCCU's Student Academic Integrity Policy outlines the principles that underpin fair assessment and ensures the quality of all academic awards made by the University. It tells you what is expected of you when you submit work for assessment, including the misuse of digital tools to enhance work.
Misuse of digital/ generative and other AI tools occurs when students use such tools (whether free or behind a paywall) to:
These tools include, but are not limited to, ChatGPT, Quillbot, Gemini (formerly Bard), Grammarly, Claude, Copilot etc.
Speak to your Learning Developer for EAP for any queries regarding the use of digital tools for proofreading your English language.
This document is owned by the Education and Student Success team.
Thanks to the Student AI Working Group (CCCU staff and students) for their contributions to this guidance.
Thanks to the Learning SKills Team for their continueing support to revise and update this guidance.
Last updated: September 2025