Study success
Artificial Intelligence and your learning
Developing your critical knowledge and skills for learning with AI tools.
This page provides practical guidance on understanding and using Artificial Intelligence (AI) tools as part of your learning experience at university. It also describes specific AI-powered or AI-enhanced tools for various purposes.
To understand the university's stance on when it is appropriate to use AI in your studies, please refer to the guidance for students on the use of Generative Artificial Intelligence. York St John’s guidance includes explanations of the university’s position and ethical principles around Artificial Intelligence. Additionally, you must consult any advice provided by your School or outlined in your assignment brief.
Jump to a section:
- Understanding generative AI
- Principles for using AI critically and safely
- Library of AI tools
- Limitations of Generative AI
- Wider ethical and legal concerns about AI
- Experimenting with AI
Page last updated: 20 June 2024
Understanding generative AI
Generative Artificial Intelligence tools, such as ChatGPT, are tools that use machine learning techniques to produce content, including text, images and sound, based on prompts. Although we use the term ‘artificial intelligence’, they are not actually capable of thought or reasoning, they just do a very convincing job of mimicking human language patterns or creative efforts.
ChatGPT and similar text-producing tools are Large Language Models (LLMs), meaning that the algorithm behind them has been trained on a large set of existing text, usually taken from the internet and other sources. They then use what they have learned from this data about language patterns to generate new text based on the prompt provided.
You can think of ChatGPT and similar tools as a very sophisticated form of predictive text because they use complex maths to determine which word should come next in the text they are producing, based on the words that have come before and on the probabilities of what word should follow it. They can’t actually ‘think’ about the answer to the question or look up information, and they have been known to ‘hallucinate’ incorrect information, which means you should exercise caution when using them in your studies.
Generative AI explained
In this two-minute video by KI-Campus, you will learn more about what generative AI is.
Principles for using AI critically and safely
Remember that any generative AI tool should be used as exactly that, a tool. It should be something that helps to make your studying more efficient or inspires you to develop your own ideas. It should not be used as a service that you outsource the difficult aspects of your course to.
Undertaking a university degree is not just about completing essays. You will gain valuable research, critical thinking and creative skills by fully engaging with the course and challenging yourself. If you use an AI tool to do the hard work for you, you will be depriving yourself of the opportunity to develop those skills.
Sometimes, the use of AI tools may be allowed or even required by an assignment brief. In those cases, make sure you follow the guidelines given in the brief, and use the relevant AI tool in the way that you been asked to. If you are in doubt about what is allowed, ask your lecturer.
You should treat all output from generative AI tools with scepticism. Always apply your own perspective and critical thinking skills to judge the accuracy, relevancy, impartiality, and suitability of the output. Never take what the AI tool says at face value; remember to double-check any ‘facts’ that the tool produces using a reliable academic source.
When considering any ‘arguments’ put forward by an AI tool, critically assess these ideas just as you would when reading an academic source. For example:
- Is the line of argument convincing?
- How does this compare or contrast to what actual sources in this field say?
- Is the evidence cited relevant and true?
You should also consider the fact that many AI tools have been trained on datasets that may be inherently biased. For example, English language and Western-centric internet content.
Ultimately, you need to keep in mind that the words have not been written by a human being, and there is no 'thought’ behind them. The actual thinking needs to come from you!
Unless advised otherwise by your tutors, Generative AI tools should only be used for generating stimulus and ideas, or to support your learning, rather than producing content you will use directly in your submission.
Presenting someone, or something, else’s work as if it is your own is plagiarism and is a form of academic misconduct. This includes content from Generative AI.
If you are permitted to use Generative AI tools during your assessment, you should ensure you keep track of, and cite, your use of them throughout the assessment process. It is important to be open and honest about how you have used these tools to contribute to your final submission. We recommend keeping a record of any Generative AI use in preparation for an assignment, including tools and prompts used and responses received.
For guidance on citing Artificial Intelligence (AI) tools, visit the Cite Them Right website's examples:
Examples are given for the main referencing styles used at York St John. You should also ensure you follow any guidelines in the assignment brief with regards to acknowledging the use of Generative AI.
Be aware of any terms and conditions applying to the data you provide to an AI tool. For instance, some generative AIs use user prompts and other data to make improvements to the software or to future versions. As with many free technologies, the data you provide may be the real cost of using the tool.
Staff and students must comply at all times with applicable copyright law and appropriate consents and licences. It is inappropriate and possibly illegal to enter into Generative AI tools any copyright, proprietary or confidential information.
Library of AI tools
There are many AI tools available and many more in development. This is just a small selection of the tools available which library staff have explored to understand how they work, what they can do, and their limitation. We do not currently endorse the use of AI tools listed here.
When using any tools that require you to create an account, you must not use your York St John email address and university password. Please choose a different set of login credentials.
- ChatGPT is Open AI’s large language model (LLM) text generation tool. ChatGPT 3.5 free version generates large amounts of text from a single topic and style request. Paid version 4.0 allows uploading of PDFs to allow more intelligent output.
- Gemini, previously known as Bard, is Google’s AI chatbot and can be integrated with other Google apps. Free version available with limitations.
- Goblin Tools is a free tool which will break down tasks for you into a to-do list. It is very helpful if you are struggling to get started on a project or find organisation and planning overwhelming. It also has a Judge tool for checking the tone of your writing and Formalizer for changing your writing to be more professional.
- Semantic Scholar is an AI-powered search engine that specialises in finding scientific papers. It is useful for research alongside other search tools such as the library search and Google Scholar.
- Elicit and Consensus are tools that will search for academic references on your project title and provide short summaries of their findings. It is useful as a starting point for research. They both use Semantic Scholar as a basis for searching so may miss references only available elsewhere.
- Perplexity is a tool that can provide detailed answers to questions on a particular topic, providing references. It is useful as a starting point for research. Most references tend to be news sites or general websites rather than academic sources.
- Research Rabbit and Keenious allow you to provide these tools with a research paper or papers and they will find other related papers. Research Rabbit has integration with Zotero and provides a visualisation of research in the area. It is particularly useful if you are conducting a literature review.
- Scite has a free version with limited prompts. It includes links to articles for researchers to read and it has a good summary of papers.
Humata and ChatPDF are both free AI tools where you can upload a research paper and get a short summary of the content. A virtual research assistant will then answer your questions about the paper, highlighting where they found the answers.
These tools can be useful for aiding in the active reading process although you should always check information provided for accuracy against the paper itself.
- Jenni.ai is a free text generator up to 200 words per day. For more words, a subscription is required. It starts by asking what you are writing and with a few prompts provides you with sentences to accept or customise. Citations can also be added to the text.
- Canva has Magic Studio which enables you to generate images and videos using a free trial with a chance to upgrade for more features.
- Adobe Photoshop has Next-generation AI available in beta. A free version is available. Currently all staff have access at York St John and some students also have access, depending on their course.
Limitations of Generative AI
Generative AI tools can be useful but they have limitations that you should bear in mind before using them in your studies.
Please note that results produced by Generative AIs are often insufficient to meet pass standards in Higher Education at York St John.
- Generative AIs often make up facts, so ensure that you fact check any information you receive from them.
- Some Generative AIs, including ChatGPT, sometimes create false references for the content it produces. It is therefore advisable to obtain the original references and check them yourself to ensure your information is accurate.
- Some tools are designed to find real research papers, but it is not always clear where they are searching and if they have found all content on the topic. These tools can be a useful starting point but should not be the only place you search for information.
- Some Generative AIs may have been trained on data that is not up-to-date. They may also struggle to produce content on niche subjects if these weren’t covered much in the training data.
- Generative AIs often struggle to produce original-sounding content. The output tends to be well-structured but generic and predictable.
- Content produced by Generative AIs may lack evidence of reasoning, understanding of context, and critical thinking. They may struggle to synthesise multiple sources and logically construct an argument – all skills you are expected to exhibit in your university work.
- Generative AI has no personal experience, as such it cannot be ‘reflective’ of its own, or your, experiences.
Wider ethical and legal concerns about AI
- Generative AIs tend to perpetuate biases, based on the data it has been trained on. They normally use data from the internet which may include instances of racism, sexism, homophobia and other biases, and as a result, these biases can emerge in their outputs. Because most of their data relate to the Western world and the experiences of more privileged individuals living there, they may reflect this more in their responses than the experiences of those from the Global South or from marginalised groups.
- There are concerns about the environmental impact of using Generative AIs since they require large amounts of computer processing power to operate.
- There are also ethical issues with how some Generative AI tools are trained. For instance, OpenAI, the makers of ChatGPT, used low-paid Kenyan workers to identify offensive speech produced by the AI to filter these out of the final product. Many reported finding this work traumatising.
- There are also concerns over copyright as many Generative AI tools base their responses on training data where the original content creators have not consented for their work to be used. This has led some content creators to sue OpenAI, creator of ChatGPT, including the New York Times, Getty Images and various authors. OpenAI have responded that it would be impossible to train AI tools without use of copyright content and that their usage constitutes fair use.
Experimenting with AI
If you are curious about using Generative AI, or need to do so for one of your assignments, the first step is to familiarise yourself with a tool, ChatGPT for example, and experiment with using it.
To do this, you will need to use prompts. A prompt is an instruction we give to an AI tool, using natural language, so that it can understand what kind of output we want. Prompt Engineering is the practice of asking the right questions by refining your commands so that you get better quality results from the tools, like searching the web efficiently. Here are some tips to keep in mind when writing your prompts:
- Be as specific as possible about what you are asking the tool to produce. For example, instead of writing the prompt “tell me about the history of York”, you could ask “write a timeline of the key events in York’s history between the years 1000 and 2000”.
- Include details about the style of the output you would like. For example, you could add phrases like “using language a 10-year-old could understand” or “in the style of a university professor” to your prompt.
- Experiment with different commands. The more you practise giving AI tools instructions, the better you will understand the types of output they produce, and you will be able to tailor your prompts to get more useful results.
Remember, even as you improve at writing prompts for AI tools, you always need to apply critical thinking before using the content produced and use a variety of other sources to verify or challenge the output.
Please refer to the library’s Skills guides for further support, in particular the sections relating to Referencing and plagiarism, and Critical thinking and writing.

Generative Artificial Intelligence guidance
Find out more about our position on the ethical use of Generative Artificial Intelligence in your studies and during your time at York St John.

Library, Study and Digital skills
Access our study support services and resources.

Skills guides
Our guides are here to help you develop the skills needed for your University studies. Work through our sheets with tutors, in groups, or when studying alone.