Student modeling method using decision tree learning based on portfolio concept - structure of learning history data-based and condensing method using decision tree learning

摘要

Portfolio Assessment is the new assessment method and its effective practical use is expected particularly in Comprehensive Learning. Purpose of this study is to provide the effective tools for Portfolio Assessment. Concretely, we propose a system architecture for Portfolio Assessment, in which some rules on students' learning activities and time series transition patterns are discovered from students' learning history data, named Digital Portfolio, and information for students for self-assessment and for teachers feedback information about students' learning activities are provided. In this paper, firstly Digital Portfolio and Digital Portfolio Assessment are defined based on educational meaning of Portfolio and Assessment, and secondly architecture and functions of Digital Portfolio Assessment System are described. Particularly, data structure of history data-base and condensing method of data-base using decision tree learning.