Academic Writing with AI (Social Science Division) provides a structured approach to integrating AI tools at each stage of the writing process for students of social science.
The course is delivered by Oxford's Academic Communication team, who are leading the University's work on writing with AI. This course takes a process-first view of academic writing in an AI-mediated world: how to plan, draft, revise and check your work with AI in ways that strengthen argument, clarity and style while aligning with Oxford guidance on academic practice.
Part 1 - Friday 13 Nov, 12:00 - 14:00
You'll learn how AI tools can support your pre-drafting research, help you generate and refine ideas. You'll learn how to interpret the university's guidelines and policies. This lesson will help you research and plan your writing while also clarifying how to align your work with Oxford's academic integrity standards.
Part 2 - Friday 20 Nov, 12:00 - 14:00
You'll explore how different AI resources can be used at the rhetorical planning (i.e., planning how to order your writing) and drafting stages. This lesson will help you to structure your writing more effectively according to disciplinary conventions, refine your argumentation and understand the ethical and quality issues involved in using AI to paraphrase and summarise.
Part 3 - Friday 27 Nov, 12:00 - 14:00
You'll focus on post-writing strategies, including how AI tools should be used in a stepwise manner for proofreading and revision, helping you refine your work with greater precision.
Part 4 - Friday 4 Dec, 12:00 - 14:00
You'll learn about how transparency in AI use and meet the Bodleian's guidelines on how to acknowledge and cite AI. We'll also encourage you to develop your own personal strategy for AI use.
n.b. this session cannot be recorded because it is interactive and participatory; recording in this training context negatively affects participants' engagement within the session, and as a consequence, their meeting the intended learning outcomes of the session.
Please see our booking Terms and Conditions below
Bookings for MT 26 workshops and events will open on Friday 9th October
The Trainer
Andrew Mitchell
Other Divisional Events
Researcher Development Terms and Conditions
In booking any training workshops, you agree that:
COMMITMENT: application is not an expression of interest; it is a firm commitment. You will be available for the full duration of the course session(s); if you are not, please do not make a booking. You will not accept any subsequent meeting invitations that may fall during the given workshop times.
PRE-WORK / HOMEWORK: if applicable, you will complete any given pre-work and/or homework as described on the workshop web listing, as it constitutes part of the workshop
CANCELLATION: should your circumstances change, and you are not able to attend the full session(s). you will cancel giving at least 72-hours' notice, so we can offer the place to someone on the waiting list.
ARRIVAL: you will join, or arrive at, the workshop 5 minutes before the advertised start time, to ensure a prompt start.
LATE POLICY: you understand that the online room will be locked / workshop door will be closed 10 minutes after the event start time and late-comers will not be admitted. This is to preserve the integrity of the course for those who are present.
ENGAGEMENT: you will give the session your undivided attention and engagement. You will not be able to do other tasks in parallel. If online, you will ensure that your environment and internet connection allow you to participate verbally and with video cameras on. These are interactive workshops, and it is not appropriate to attend from a silent or shared workspace.
ATTENDANCE RECORD: you understand the Register will be taken in the last half-hour of the course, and anyone not present in the room at that point will be marked as non -attending (see below)
FEEDBACK: you will contribute feedback afterwards, to help us understand how well the session met its intended aims, and facilitate our continuous improvement
CONSEQUENCES OF NON-ATTENDANCE: you understand that any non-attendance
a) is visible to departments and supervisors/PIs, and
b) may result in any future bookings you've made within the same term being cancelled, and the place(s) offered to the waiting list.