no code implementations • 7 Nov 2022 • Anastasia Kovalkov, Benjamin Paaßen, Avi Segal, Niels Pinkwart, Kobi Gal
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this paper, we make the journey fromdefining a formal measure of creativity that is efficientlycomputable to applying the measure in a practical domain.
1 code implementation • COLING 2022 • Amir Bialer, Daniel Izmaylov, Avi Segal, Oren Tsur, Yossi Levi-Belz, Kobi Gal
With the increased awareness of situations of mental crisis and their societal impact, online services providing emergency support are becoming commonplace in many countries.
no code implementations • 30 Apr 2021 • Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleks Berditchevskaia, François Grey, Kobi Gal, Avi Segal, Mike Walmsley, Josh Aaron Miller, Dominik Dellerman, Muki Haklay, Pietro Michelucci, Jacob Sherson
This "HI lens" provides the CS community with an overview of several ways to utilize the combination of AI and human intelligence in their projects.
no code implementations • 2 Apr 2020 • Laura Schelenz, Avi Segal, Kobi Gal
We encourage researchers to adopt the checklist in various environments and to work towards a consensus-based tool for measuring transparency in the personalization community.
no code implementations • 28 Jul 2019 • Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira
EduRank constructs a difficulty ranking for each student by aggregating the rankings of similar students using different aspects of their performance on common questions.
no code implementations • 14 Apr 2018 • Avi Segal, Yossi Ben David, Joseph Jay Williams, Kobi Gal, Yaar Shalom
We present a new computational approach to this problem called MAPLE (Multi-Armed Bandits based Personalization for Learning Environments) that combines difficulty ranking with multi-armed bandits.