Enhancing Incremental Learning Processes With Knowledge-Based Systems.

摘要

The purpose of this project was to investigate the enhancement of incremental learning processes with knowledge-based support systems. The research was carried out in the context of learning to use high- functionality computer systems. As a basis for the design of support systems, the structure of learning spaces was studied. The model of increasingly complex microworlds was found to adequately describe the relationships between the units of expertise. The usability of systems can be increased by reducing and by enhancing learning processes. Construction sets and design environments are support systems which reduce learning processes. Two prototypical systems (WIDES and TRIKIT) demonstrate techniques for achieving this goal. Critics are task-oriented intelligent systems to enhance learning processes. As an instance of a critic, the LisPCRiTic was designed and implemented. It contains knowledge about FRANzLIsP which is utilized to make programs either more cognitively efficient or more machine efficient. The LisPCRmc supports learning by suggesting improvements and explaining relevant concepts.