1
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)
-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.
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
Hackathon (Day1 and Day 2)
Venue: Hackathon will be organized ONLINE
Microsoft Teams Link: CLICK HERE