p-93-02 Goal-Driven Learning: Fundamental Issues (A Symposium Report) David B. Leake and Ashwin Ram AI Magazine, 14(4):67-72, 1993. Abstract: In Artificial Intelligence, Psychology, and Education, a growing body of research supports the view that learning is a goal-directed process. Psychological experiments show that people with different goals process information differently; studies in education show that goals have strong effects on what students learn; and functional arguments from machine learning support the necessity of goal-based focusing of learner effort. At the Fourteenth Annual Conference of the Cognitive Science Society, a symposium brought together researchers in AI, psychology, and education to discuss goal-driven learning. This article presents the fundamental points illuminated by the symposium, placing them in the context of open questions and current research directions in goal-driven learning. A postscript file for the full paper is available electronically. To get a copy by anonymous ftp, see ftp://ftp.cs.indiana.edu/pub/leake/README. on the web, open URL ftp://ftp.cs.indiana.edu/pub/leake/INDEX.html.