Enabling Supervision

A two way process

James Brusey

5 March 2024

Set ground rules at the start

Ground rules for you

  • Meet regularly
  • Public praise, private criticism
  • Rapid turnaround for drafts
  • Be part of the team, not just the boss
  • Allow recording

Ground rules for the student

  • Organise, run meetings, write minutes
  • Criticise supervisor privately first
  • Rapid turnaround for drafts
  • Show up (like a normal job)
  • Take ownership of the PhD
  • Understand and obey the Vancouver protocol
  • Understand and avoid plagiarism
  • Learn the tools
  • Backup your work
  • Yes—you can buy stuff
  • Be part of the team

Here is the ground rules document that I use

https://tinyurl.com/phdgroundrules

Meetings

How to run a meeting (advice for student)

  • Send documents in advance
  • Don't expect technical feedback on something just presented in the meeting
  • If you get feedback, act, and show that you acted
  • If there is nothing to discuss, don't take an hour
  • Write minutes on the same day

Possible agenda

  • Review previous minutes, including plan
  • What you actually did
  • Issues, problems
  • Plan for next period

Why the supervisor needs an agenda

phd080905s.gif

Project management

Use a gantt chart, right?

example_gantt_chart.png

Wrong!

  • To produce a nice looking gantt chart, you'll need hours with project management software (or a spreadsheet)
  • Everyone uses different software anyway
  • Either too high-level or too low-level
  • Too hard to update (so it won't be updated!)
  • It doesn't necessarily keep your project on track
  • Research is lumpy
    • hard to estimate how long something will take
    • new tasks appear frequently

Alternative – use Scrum

  • Scrum is designed about a product backlog or list of features
  • A backlog is not about doing things on time but more about rate of progress
  • Supervisor and student agree on a priority order for the backlog
  • Group features into a sprint (these 3 items will be done by the next meeting)

Example backlog

Feature
Lit review on thermal comfort
Clean data
Try linear regression
Try Neural network

Can also add a difficulty estimate (story points)

Feature Points
Lit review on thermal comfort 100
Clean data 50
Try linear regression 20
Try Neural network 20
 

Burn chart

burn.png

Also consider word count trackers

Match your approach to the student

Give flexibility to stronger students

  • They get to choose the topic more
  • Meet when they have a result
  • Meeting agenda flexes to what they think is most important
  • Attendance not as important as progress

Give discipline to weaker ones

  • 10am latest starting time
  • Always review with them the previous minutes to pick up what they are avoiding
  • Bring them back to the agenda when they go off on a tangent
  • Give them a topic that you know will work and produce a viable thesis
  • Keep in mind:
    • you are not punishing for poor performance—just adjusting your style to their needs

Engender self-respect and ownership

Good students care about every aspect of the quality of their work

  • Software should have unit-tests
  • Experiments should be reproducible
  • Outputs, graphs, tables well-proportioned, graceful, aesthetically pleasing, informative
  • Written work should be readable by a lay audience

How do we get there?

  • Have high standards and diligently point out issues
  • Make sure it is not just about the supervisor—enable other feedback too
    • journal / conference reviewers
    • wider community (e.g., stackoverflow, open source developers)
    • personal reward systems (e.g., chocolate 😋)
  • Show them great examples
  • Also see Writing for Computer Science (Zobel)

Viva preparation

Student must own the material

  • It's better for the student to own the material early on
  • "My supervisor told me to do it" 🫣
  • Ownership can mean less control—but that's ok!

Prepare a presentation that is the right length

  • The material needs to fit in about 10 minutes
  • It should be clear, crisp, and correct

Usually 2 mocks

  • Allows a chance for revision if the presentation has errors
  • Well prepared students seem to do better in the viva

Sample questions

  • There are plenty of samples on the Internet
  • Consider these key ones:
    • Can you explain the graph in Figure X?
    • What is the most important chapter and why?
    • Where is the answer to research question X and is the question comprehensively answered?

Examiner selection

  • I always encourage the student to propose possible examiners
    • But I don't allow them to take control of the process
  • When examiners are selected, the student should make sure their work is covered

During the examination

  • I always take copious notes during the examination (hand written)
  • I reassure the student that I will do this too
  • They need to have a copy of their thesis to hand—must be the same version as the examiners.

Final words

  • It's not about the supervisor …
    • … it's about the student
  • If you are asking "what do I get out of it?", you are doing it wrong
  • Best success measure: how did they grow in your care?

Further reading