Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials

In this study, we propose an integrated system to support learners' reviews. the proposed system, review dashboard is used recommend contents that are adaptive individual learner's level of understanding and present other information useful for review. The pages digital learning materials estimated be insufficiently understood by each learner webpages related those recommended. As a method estimating such pages, consider extracting questions were answered incorrectly. We examined accuracy matching question with materials. also conducted experiment verify usefulness its effect on using dashboard. experiment, evaluation indicated at least half participants found it most types feedback. addition, rate change in quiz scores was significantly higher group dashboard, which indicates has improving learning.