Using Data Mining to Automate ADDIE.

摘要: The goal of this work is to transform informational and instructional content into adaptive personalized training experiences. We have developed semi-automated methods do that parallel the traditional “ADDIE” (Analysis, Design, Development, Implementation, Evaluation) process. source can include documents, presentations manuals existing courseware. techniques use artificial intelligence (AI), data mining, natural language processing generally belong discipline “educational mining.” This poster/demo demonstrates processes discusses algorithms used. 1. PROBLEM STATEMENT Today’s digital environment rich with learning content, but much it purely didactic in nature. includes not intended for purposes e-learning consists lectures multiple choice questions. As online replaces instructorled corporations, government agencies, educational institutions [10], its effectiveness be improved by transforming wealth more interactive experiences [5]. Here, we address aspects transformation problem context research commercial projects. A large portion report here comes from a U.S. Army Small Business Innovation Research (SBIR) project called Tools Rapid Generation Expert Models, or TRADEM, applies mining (a) deconstruct at deep granular level (b) reconstruct form used create intelligent tutoring systems. process automates many steps [1] commonly develop content.