  In the last several years, the field of computer assisted language learning
has increasingly focused on computer aided question generation. However, this
approach often provides test takers with an exhaustive amount of questions that
are not designed for any specific testing purpose. In this work, we present a
personalized computer aided question generation that generates multiple choice
questions at various difficulty levels and types, including vocabulary, grammar
and reading comprehension. In order to improve the weaknesses of test takers,
it selects questions depending on an estimated proficiency level and unclear
concepts behind incorrect responses. This results show that the students with
the personalized automatic quiz generation corrected their mistakes more
frequently than ones only with computer aided question generation. Moreover,
students demonstrated the most progress between the pretest and post test and
correctly answered more difficult questions. Finally, we investigated the
personalizing strategy and found that a student could make a significant
progress if the proposed system offered the vocabulary questions at the same
level of his or her proficiency level, and if the grammar and reading
comprehension questions were at a level lower than his or her proficiency
level.
