Optimizing Instructional Policies
By Robert V. Lindsey, Michael C. Mozer, William J. Huggins, Harold Pashler. 2013
36 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Xiaojin Zhu
- Xuezhou Zhang
- Robert D. Nowak
- Adish Kumar Singla
- Kaustubh R. Patil
- Philippe Rigollet
- Sandra Zilles
- Anna N. Rafferty
Citations in the corpus
- Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015, background): “The systems can make point evaluation of f at some input D , and aim to maximize f based on such evaluations, see e.g. (Lindsey et al. 2013).”
- Teacher Improves Learning by Selecting a Training Subset (2018, background): “Machine teaching applications include education [14, 33, 39, 27, 13, 34], computer security [2, 1, 32], and interactive machine learning [40, 12, 24].”
- Optimal Teaching for Limited-Capacity Human Learners (2014, background): “Such a result would establish a conceptual link between idealization manipulations from psychology and optimal teaching procedures from machine learning [7, 6, 8, 2, 9, 10, 11].”
- An Overview of Machine Teaching (2018, methodology): “Behavioral experiments have also been employed within large scale MOOCs and intelligent tutoring systems; see [48] and [25] for more discussion.”