Hints are a useful and common pedagogical tactic,
particularly in one-on-one tutoring sessions. Hints
can serve: (1) to activate otherwise inert knowledge
making possible its recall, or (2) to stimulate the
generation of inferences required to complete a task
using knowledge thought to be available to the
student. W e report on the analysis of one-on-one
tutoring sessions conducted by two tutors using a
computer system to capture the dialogue. Hints
either expUcitly convey information to the student or
they point to information presumed to be available
to the student. W e have identified at least 10
different forms of hints used by our tutors. T h e two
tutors differ in the total n u m b e r of hints they
generate and in the prevalence of hints of different types. Our results are being applied to the design
of an intelligent tutoring system (ITS) with a natural
language interface.