Causal Models in the Acquisition and Instruction of Programming Skills
Abstract
This research project investigated how an interactive learning environment can support students' learning and acquisition of mental models when acquiring a target cognitive skill. In this project, we have constructed GIL, an intelligent tutoring system for LISP programming, and have used GIL to conduct pedagogical experiments on skill acquisition. We have studied two ways in which an interactive learning environment can facilitate students' acquisition of novel complex domains. The first set of studies examines how graphical representations provide a representation more congruent with students' reasoning. A second set of studies examines how explanatory feedback, generated from the system's problem solving knowledge, can facilitate students' learning. The experiments demonstrate computer-based support during learning can help students construct a more effective model for reasoning in complex domains.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1997
- Accession Number
- ADA336259
Entities
People
- Brian J. Reiser
Organizations
- Princeton University