Participate in the hackaton AI about feedback

participate in thE HACKATON Of ARTIFICIAL INTELLIGENCE for feedback IN education

Do pupils or students feel they get too little feedback? Would you like to do more with peer-feedback? Or wouldn't it be nice if certain tests are automatically provided with feedback? Maybe Artificial Intelligence (AI) can help you solve your feedbackproblems!

What is a hackaton?

A hackaton is an activity in which participants work non-stop on one specific case in a short period of time. The theme of this AI hackaton is feedback. To participate in this hackaton, knowledge of Artificial Intelligence is a plus but not required: there are also experts (Jedi's) walking around to support teams. In addition, all participants are asked to follow an online professional development course beforehand.

We invite teachers, school leaders, managers, students, pupils and other interested parties to work in teams of 6-8 people for three days (5, 6 and 7 October 2022) on a feedbackproblem. Under the guidance of the Jedi's, these teams will work on their own AI application for their own chosen case. At the end, on 7 October, all teams will present their solutions to an expert jury that will judge the presentations and ultimately declare a winner.

This hackaton is organised from the proeftuin AI, which is designed by the zone facilitating professional development from the Versnellingsplan Educational Innovation with ICT.

Practical information

APPLY

You can apply for the Hackaton in teams of 6-8 people. We have room for 7 teams (max 50 people). The deadline for registration is September 16, 2022. If we are unable to find or assemble a team before then, it is possible to register as an individual. If there are enough individual registrations, we will form teams (note: in this case, it depends on other individual registrations whether you can finally participate).

PROGRAM

The program for october 5 looks is as follows:

Time

What is planned

Location

17:30 - 18:30

Opening Hackaton with an inspiration session

U-park Hotel, Enschede

18:30 - 21:00

Dinner 

U-park Hotel, Enschede

The program for october 6 looks is as follows:

Time

What is planned

Location

10.00-10.30

Walk-in

Designlab, Universiteit Twente

10:30 - 11:00

Inspiration session

Designlab, Universiteit Twente

11:00-12:30

Getting started with your team, jedi's available for questions

Designlab, Universiteit Twente

12:30-13:30

Lunchbreak

Designlab, Universiteit Twente

13:30-17:30

Working with your team,  jedi's available for questions

Designlab, Universiteit Twente

17:30-18:30

Dinner 

Designlab, Universiteit Twente

17:30-22:00

Making extra hours with your team, in case you can't get enough

Designlab, Universiteit Twente

The program for october 7 looks as follows:

Time

What is planned

Location

10.00-11:00

Walk-in & inspiration session

Designlab, Universiteit Twente

11:00-12:30

Working with your team,  jedi's available for questions

Designlab, Universiteit Twente

12:30-13:00

Lunchbreak

Designlab, Universiteit Twente

13:00-15:00

Working with your team,  jedi's available for questions

Designlab, Universiteit Twente

15:00-16:00

Team presentations

Designlab, Universiteit Twente

16:00-16:30

Jury deliberation --> Winners announced!

Designlab, Universiteit Twente

16:30

Drinks

Designlab, Universiteit Twente

keynotes

  • Maurice van Keulen

    Two Threats to Analytics and AI: Data Quality & Short-Cut Learning

    Analytics and AI hold great promises and society increasingly depends on them. But it is not all gold that shines there. There are threats to the robustness of analytics and AI that we should be aware of. And we should develop methods and techniques to detect and mitigate them, so that our analytics and AI can be guaranteed to be robust. In this talk, we highlight two such threats: data quality, or rather a lack thereof, and short-cut learning where predictive models learn to reason in unanticipated and undesirable ways.

    dr.ir. M. van Keulen (Maurice)
    Universitair hoofddocent
  • Duuk Baten

    AI, the great promise of education?

    New technology brings new possibilities and opportunities, also for education. In this lecture, we talk about the developments of AI as a technology and its possible applications in the education domain. How can AI be used in the lecture hall, the institution, and the wider world?

    Duuk Baten
    employee SURF
    +31 6 57 09 06 88
     Duuk.baten@surf.nl

Want to know more about AI?

The term Artificial Intelligence (AI) was introduced in 1956 by scientist John McCarthy. He defined AI as 'the science and technology of making intelligent machines'. In our society, more and more data is available. This data, the increasing power of computers and academic breakthroughs have led to a rapid growth in developments in the field of Artificial Intellingence (AI). AI allows us to discover patterns in large amounts of data, replicating human thinking and rational reasoning (such as generalising, arguing, interpreting and learning from the past). AI also offers many opportunities for education and can be used for example in timetabling, service processes, improving equal opportunities, improving knowledge testing, place- and time-independent (lifelong) learning or quality assurance.

Want to know more about Artificial Intelligence? Check out these articles:

Solving education feedbackproblem with Artificial Intelligence?
APPLY for the Hackaton