FAST.Q is an anonymous student feedback system that allows students to ask questions during lectures using their phones or laptops. It aims to improve student engagement and help lecturers identify topics students struggle with. While anonymity encourages participation, it also risks abuse, so the system uses OAuth to log activity and discourage inappropriate posts. The project is funded by Student as Producer and LNCD to promote technology in education.

2. FAST.Q – Feedback and Answer
System Technology for Questions
Dr. John C. Murray – PI
Peter Anderson and Boaz Yehezkel

3. Funding and Support
• This is a student directed project funded by
Student as Producer and LNCD.
– Student as Producer is ...
• ...different from Student as Consumer
– LNCD is ….
• ...focused on Technology in Education

4. So...what is FAST.Q?
• FAST.Q is an anonymous feedback system,
– this is key to adoption;
• to be used by students during lectures.
• Accessed via phones, laptops or other smart
devices.

5. Other question systems.
• OptiVote
• Only useful for answering predetermined
questions, or gauging opinion.

6. So...how does it work?
• http://fastq.blogs.lincoln.ac.uk/page/2/

7. So...why FAST.Q?
• As lecturers it is often difficult to get students
to engage or ask questions.
• FAST.Q’s anonymity helps prevent students
feeling embarrassed asking questions.
• Allows the lecturer to actively reiterate points
during the lecture that students might have
problems with.
– Highlighted by the FAST.Q system.

8. So...is it open to abuse?
• Anonymity has drawbacks also:
– Disinhibition.
• If there is no monitoring, people will
inevitably abuse the system
– Posting inappropriate comments, etc.
• We use OAuth to help reduce the disinhibition
affect.

9. So...OAuth!
• OAuth is used to restrict modules accessible.
• Give the notion that if people abuse the system
it is logged.

10. So...OAuth!

11. So… What are FAST.Q’s
Objectives?
• To improve student engagement
– By allowing students to ask questions.
• To allow the lecturer to gauge student
understanding of lecture content.
– By collation of questions pertaining to lecture
content.
• To compare success of cohorts feedback and
questions over successive years.

12. So...Questions?
?