Automatic generator of mathematical logic questions in French with
automated correction
Abstract
Automating the generation of questions to assess students remains a
serious scientific problem in developing country. Several works have
been carried out on the subject but, to date, the automation of the
correction of the questions generated, their connection to identified
educational objectives, their ability to address comprehension problems,
the definition of their difficulty and the response time remain points
that are not very much addressed. In developing countries, this problem
is even more accentuated by the massification due to overstaffing. This
article presents a mathematical logic question generator that provides
the generation and correction of questions linked to objectives, testing
comprehension, with the possibility of calculating a level of difficulty
and automatic scoring using the connectors and quantifiers making up the
question. This generator uses automatic language processing techniques
based on rules, as well as a formalization of learning objectives
allowing correspondence with the generated questions. The test of the
generator among mathematics students shows that 100% of the
automatically generated questions comply with the objectives for which
they were generated. About 90% of generated questions are syntactically
and semantically well-formed