The MANIC project in the Department of Computer Science at the
University of Massachusetts is aimed towards facilitating
individualized asynchronous distance learning.  We take advantage of
current technology, such as the World Wide Web and high-speed
networks, to present a rich combination of text, graphics, and sound.
We use student modeling to aid in the presentation of the material,
including individualizing the instruction for each student and
reducing the delays by predicting what the student will see next.  In
this paper, we present the initial work on the MANIC system and
discuss the future possibilities and research.