New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization
By K. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth Mclaughlin, John C. Stamper. 2013
200 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yoshua Bengio
- Sergey Levine
- Percy Liang
- Demis Hassabis
- Jianfeng Gao
- Alexandre Lacoste
- Li Deng
- Dacheng Tao
In Computer Science Applications
Citations in the corpus
- Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015, methodology): “Discrete optimization methods, such as those based on submodularity, may be applicable here (Krause and Golovin 2014; Iyer and Bilmes 2013; Bach 2013; Feige 1998; Krause and Guestrin 2005; Nemhauser, Wolsey, and Fisher 1978).”
- Tackling Climate Change with Machine Learning (2019, methodology): “[683] Kenneth R Koedinger, Emma Brunskill, Ryan SJd Baker, Elizabeth A McLaughlin, and John Stamper.”