A PSYCHOMETRIC FRAMEWORK FOR INTELLIGENT SCENARIO GENERATION

摘要

The scenario-based approach to training offers the potential for customized instruction. However, practical limitations and little theoretical guidance for individualizing instructional events to learners’ needs have rendered difficult the realization of this potential. Thus, the purpose of this paper is to propose a framework for intelligent, scenario-based training that iteratively and adaptively tailors training events to the unique needs of the learner. Drawing from advances in assessment and psychometric theory, the proposed framework allows decomposition of scenarios into component elements, empirical investigation of how these elements influence training performance, and adaptive generation of scenario content that targets the occurrence of subjective learning events.