  Machine education is an emerging research field that focuses on the problem
which is inverse to machine learning. To date, the literature on educating
machines is still in its infancy. A fairly low number of methodology and method
papers are scattered throughout various formal and informal publication
avenues, mainly because the field is not yet well coalesced (with no well
established discussion forums or investigation pathways), but also due to the
breadth of its potential ramifications and research directions. In this study
we bring together the existing literature and organise the discussion into a
small number of research directions (out of many) which are to date
sufficiently explored to form a minimal critical mass that can push the machine
education concept further towards a standalone research field status.
