1 AI-enabled Assessment Marking Hackathon, Big Data Society, Macquarie University, Australia

AI-enabled Assessment Marking


Big Data Society

Data Analytics Research Lab

Macquarie University, Sydney, Australia

July 12-13, 2021

Photos


Click Here to See the Hackathon Photos

Sponsors


                   

Challenges


AI-enabled Assessment Marking

Reducing instructors’ workload in online and large-scale learning environments is one of the most important factors in educational systems. Carefully evaluating students’ performance and providing informative feedback will have a significant impact on improving students’ learning and achievement. However, often in a large classroom or in a Massive Open Online Course (MOOC) with hundreds of enrolled students, evaluating each student’s performance and providing feedback on each student’s work, which is sufficiently descriptive aiming to prevent students’ misunderstandings, may not be feasible.

The challenges in this hackathon will focus on novel applications of AI in education (from machine learning and data analytics to process automation and cognitive assistants) aiming to automate assessment markings, resolving students' misunderstandings, and reducing instructors' workload when interacting with students on a large scale.


*Download* Keynote/Challenges (LINK)
*Download* STEM Dataste (LINK)
*Download* non-STEM Dataste (LINK)
*Download* JUDGING CRITERIA (LINK)


Who can attend ?

  1. Each group member should register individually online. Please check the Registration link in the next Section.
  2. Register your group on the first day of the hackathon (12th July 2021), at the venue.
  3. At least one member of each group, *MUST* currently residing in Australia.
  4. Team Members *MUST* register with their Organization/University email address.
  5. Teams *MUST* be between 2 to 5 people: students and professional.
  1. Register Your Team (on 12 July before 2pm): LINK
  2. Submit your Solution (on 13 July before 11am): LINK



Prizes

-Over $6000 including gift cards, Training Vouchers & Azure Credits (ITIC).

-Give away gifts from the sponsors.

-Certificate of achievement for top 3 performing team.

-Certificate of attendance for the Hackathon.

-Certificate of attendance for the Workshops.



Organizer:

Data Analytics Research Lab, Big Data Society


Our Previous Hackathons:

Program




12th July 2021: Hackathon Day 1: Technical Summit

8:45-9:15 Check in and registration

9:15-9:20 Welcome to Country
    - Dr. Lynette Riley (Yirigaa)

9:20-10:00 Openning:
    - Stephen Elbourn (Director, ITIC)
    - Jalang Mundine (Interim Chairman, Yirigaa)
    - Prof. Michael Sheng (Head, Department of Computing, Macquarie University)
    - Lee Hickin (Chief Technology Officer, Microsoft , Australia)

10:00-10:30 Keynote (AI-enabled Assessment Marking) + Hackathon Challenges:
    - Dr. Amin Beheshti (Director, AI enabled Processes (AIP) Research Centre - Macquarie University)

10:30 - 11:00 Industry Talk
Gavin Whyte (Chief Artificial Intelligence Officer at Public Sector Network)

11:00 - 11:30 Industry Talk
Thomas King (Higher Education Executive, Microsoft Australia)

11:30 - 12:00 Industry Talk
Steve Nouri (Head of Data Science and AI at ACS - Australian Computer Society

12:30 - 1:30 Lunch and Networking

1:30 - 2:00 Industry Talk
Thasmika Gokal (Cloud Solution Architect, Microsoft , Australia)

2:00 - 4:00 Hackathon Training
Anthony Shaw (Senior Cloud Advocate, Microsoft , Australia)
Shuang Wang (Postdoctoral Researcher, Macquarie University , Australia)


13th July 2021: Hackathon Day 2: Competition

13 July: submit your solutions before 11am ( LINK )
13 July (11am to 2pm) : Judges will select the top 3 teams for each challenge (we have 3 challenges)
13 July (2pm to 4pm): selected teams will present their solution LIVE
13 July (4pm to 5pm): Announcing Winners and Prizes

Judges:



Register for the Hackathon



     Hackathon (Day1 and Day 2)
Registration
: LINK

Hackathon Venue


      Hackathon (Day1 and Day 2)
Venue
: Hackathon will be organized ONLINE

Microsoft Teams Link: CLICK HERE