For example, a history course might be a perfect fit to use the current technology, but a course teaching the finer points in how to write an essay conclusion would give even the most sophisticated AI system fits.
For now, e Learning operators will have to continue scoring written responses the old-fashioned way or avoid them altogether.
In fact, one of the most well-known and widely used examples are the ubiquitous scantron machines that teachers have relied on for multiple choice testing for the last forty years.
In the e Learning industry, efficiency is the whole point, as digital learning tools can help a single educator teach and manage a much larger group of students at once, and many of the day-to-day tasks that occupy a teacher's time have been automated to accommodate that scale.
At the current pace of development, however, that reality may change in the very near future, so it's a topic that will be worth revisiting in the coming years.
Ed X, a nonprofit enterprise founded by Harvard and the Massachusetts Institute of Technology, will release automated software that uses artificial intelligence to grade student essays and short written answers.
Modern LMS platforms can take care of things like course recommendations, invitations to scheduled learning events, and even course completion and certification notifications.
One place that they've historically fallen short, however, is in automated grading solutions, particularly in free response formats.
Most of the current development in the area is focused on the use of an NLP technique called latent semantic analysis, which is a machine learning technique that allows an AI to assess written responses by comparing them to a large number of known, human scored responses.
In essence, the technology assigns grades to written answers based upon how structurally and contextually similar they are to previously scored text.