This document outlines the plan for week 2 small group sessions focused on digital tools for collaboration and creativity. It includes an emphasis on effective use of university resources, support systems, and ethical use of generative AI in academic work. Participants are encouraged to utilize tools like Office 365 and Padlet while ensuring critical writing practices are upheld.

1. Digital Tools for
Collaboration & Creativity
BEM2034/BEP 2120
Week 2 Small Group Sessions

2. Plan for this session
• Making sure you understand how the module works and our
expectations of you (don’t forget you can view the recording of last
week’s Introductory Webinar on ELE)
• Getting you started in collaborating with each other:
• Effective use of university resources: sources of support
• Digital tools for collaboration and creativity –Padlet exercise for Q&A

3. Sources of information and help
• Study Zone Digital - one to one support, cafés and other resources to
help you develop your study skills
• Digital Hubs Home Page (links to hubs at Streatham, Penryn and St
Lukes) everything you need to know about accessing university digital
services with in-person and online support
• Digital Hub Blog Post: “5 must have digital tools for university”
• One to one online support with
developing your English Language Skills

4. Digital Tools
• Office 365 – free, university-supported package of Microsoft products
• Padlet – for sharing information in “notice board” format. Free with
your university account
• For creating engaging visuals -
• Canva
• Piktochart

5. Using Generative AI
• Ethical use of GenAI is an INTEGRATED part of this module’s activities
and assessment
• Make sure you reference its use correctly:
https://libguides.exeter.ac.uk/referencing/generativeai
• When handing in your assessed work, please complete the GenAI
Declaration that’s included in the Submission Section on ELE

6. Critical writing
• Questions to ask yourself
• Is it from a trusted source?
• Where is the evidence that the statement is true?
• Are there other valid viewpoints to contrast it with?
• Is there likely to be bias?
• Is the information up to date?
• These questions are always important to address, but particularly so when GenAI
is involved
• There are links to useful resources in the Welcome Section of the module