Information Literacy

“Information literacy is the ability to think critically and make balanced judgements about
any information we find and use. It empowers us as citizens to reach and express informed
views and to engage fully with society.” (CILIP, 2018)

Information Literacy is a key skill taught by your Faculty Librarians. We usually meet you in a lecture
or workshop at least once during your course. Lecture and workshop content is supported by online
learning resources which you can explore in your own time to develop this crucial skill for your
studies and beyond.

What skills do you already have and which do you need to develop?  Visit the CILIP Information Literacy website for more information.

Staff members; contact your Faculty Librarian to discuss embedding Information Literacy into your course

 

“Don’t do it”

There are those who will advise you not to use large language models such as ChatGPT in any
coursework or dissertations. They are quite right in that you should not use AI to write your text for
you. This is considered plagiarism and counts as academic misconduct which can draw penalties.
See the University Guidance on the use of AI.

Library staff will also point out that you must not use it to produce references. Generative AI is
excellent at making up references which don’t exist. Remember, it’s not intelligent, it has simply read
a lot of the internet and is good at predicting what words might go next to each other. This is why the
references can look convincing but use made up journal titles or authors.

However, there may be applications which are entirely appropriate and such AI tools are likely to
become part of life, study and work as they improve and become more widespread. This guide
explores some applications for coursework or research and provides tips on writing useful prompts.

Planning and Outlines

Generative AI can be useful at the planning stage of any work to suggest stages in the process which
you need to prepare for or avenues of research which might be worth pursuing. However, note that it
will only be offering suggestions based on the pages (or text) that it has already been trained on so it
will not produce anything novel or creative. Also note, that ChatGPT, for example, has a cutoff date of
Sept 2021 so it doesn’t know about anything which has happened or been discovered after this date.

It is always worth spending time considering your own ideas on your topic and finding inspiration in
reading widely, paying close attention in lectures, or networking with specialists (e.g. your lecturers
offering tutorials or at conferences for which there may be bursaries for student attendance).

AI may be also be useful in scheduling your time spent on an assignment and how you can fit in the
work necessary in an already busy schedule.

If you do use generative AI, be as specific as you can in your prompts to generate more useful
responses. Follow up on bland (non-specific) suggestions by asking further questions.

Conversations

If you’re struggling to understand a concept or if you’re finding it hard to express yourself, use
generative AI as a willing partner to discuss the issues and perhaps find a way forward. However, be
very careful you’re not simply paraphrasing its output as your own. Here you might find that just one
prompt is insufficient, but you need to use several to get useful responses which are more specific.
Also, consider using prompts to ask for multiple viewpoints.

You can ask the AI to imagine it is a teacher or college student or to limit its language complexity to
get it to answer in more helpful ways. Giving the AI some context and giving it specific relevant details
can be powerful in writing good prompts. (Beware of giving out any personal information, however).

Summaries

Be very careful about asking generative AI to summarize particular texts. Even if it knows (or claims
to know) the work in question, its summary can be very limited, biased or miss key points. It is always
worth checking for yourself the actual content that it is attempting to summarize.

Keywords

Selecting good keywords to use in searches for material is a vital part of your research and can be
challenging, particularly in a second or third language. There are various tools you can use to help
with this such as the keywords (or descriptors) provided in Discovery, a technical thesaurus (e.g. in
Business Source Complete, ERIC or Engineering Village), keywords you find attached to relevant
journal articles, or by taking inspiration from the suggested search terms that some search engines
offer.

Generative AI can offer further assistance in suggesting vocabulary and related topics which may help
you to either expand your searches or to refine them so that you can find just what you need to
support the arguments you are making in an assignment or dissertation.

Don’t forget to be careful in the language of your prompts in order to get the best results. If you use
the word ‘football’, don’t forget that many of these AIs are built by US companies and may not give
you the same results as ‘soccer’. You should also check your spelling in case this affects your results.

You can ask AI to generate quite complex search strings which most databases will accept. Example:
PROMPT: design a search string to search for Career experiences of women in STEM in the UK
RESPONSE: ("women in STEM" OR "female engineers" OR "female scientists" OR "women in technology" OR "women in
mathematics") AND ("career experiences" OR "workplace challenges" OR "gender bias" OR "glass ceiling") AND ("UK" OR "United
Kingdom" OR "Britain" OR "England" OR "Scotland" OR "Wales" OR "Northern Ireland")

Language Translation

Machine translation, such as Google Translate, has come a long way in the last few years. It can do a
fairly good job with languages close to English (e.g. European languages) and can now manage at
least an approximation of languages that are linguistically more distant (such as Asian languages).
This means that it may now be possible to extract useful information from texts or journal articles that
are written in a variety of languages. This can increase the diversity of your citations and arguments.

Generative AI can provide such translations, but care should still be taken with the results. Cite the
original document and include in the main text or a footnote a note that machine translation was used.
Check with your tutors that this type of citation is acceptable.

Going Further

Generative AI may be able to help you find suitable publications should you wish to publish your work.
(One example might be Emerging Minds). Your tutor may be able to help with this as well and our
Research Outputs Team can also assist with selecting academic journal titles and avoiding predatory
publishers. Use a prompt which outlines your work and ask for recommendations on suitable titles.
You can be specific about whether you want something academic or for a more general audience and
you can ask why it recommends a particular title. Given a specific journal example in the prompt, AI
may also be able to help you format your work in the required style. See also ResearchRabbit for an
AI which focuses on academic work specifically.

Referencing

If you do use AI, make sure that you reference it as you would with anything else that is not entirely
your own work. The Library has produced support in Referencing@Portsmouth to help with this.

You may also wish to consider other ethical issues around the use of such generative AI. In
particular, be aware that the AI might be biased. Companies do not release information on what large
language models the AI has been trained on. It is easy to see that if, for example, they are trained on
only English language data sets, or a corpus of text from a predominant geopolitical bloc, or using
rules created by a small, homogenous groups of employees, then biases in the responses offered
may creep in.

You should also be aware of intellectual property concerns – particularly with image creation AI – as
generative AI may have been trained on original work without being licensed for the purpose or giving
due credit.

Further Help on finding good resources for your coursework or dissertations is available from
library@port.ac.uk or the 24/7 Chat or in person in the Library. Alternatively, you can contact your
Faculty Librarian for more specialized, in-depth help. Just ask! We’d also be really interested in
hearing how you’ve used generative AI in your studies or research, so please drop us a line if you’ve a
story to tell.