Title: Examination of a Method for Determining Web News Suitable as Teaching Materials of NIE toward News Recommendation for Elementary School Teachers

Year of Publication: Aug - 2019
Page Numbers: 40-46
Authors: Shinya Seki, Kazuaki Ando
Conference Name: The Fifth International Conference on Electronics and Software Science (ICESS2019)
- Japan

Abstract:


NIE (Newspaper in Education) is an educational approach that utilizes newspaper as teaching materials in classes. It is being implemented in elementary schools and junior high schools mainly. However, teachers’ workloads have increased by choosing suitable articles and preparing support materials for NIE, in order to conduct NIE classes. The purpose of this study is to construct a Web news recommendation system for elementary school teachers. This paper proposes a method for determining Web news suitable as teaching materials of NIE in elementary schools, using Support Vector Machine (SVM) based on features of NIE worksheets and news articles. The effectiveness of the proposed method was evaluated by comparative experiments. We achieved the precision of 87.0% by SVM based on Word2Vec and the feature of Difficulty of Words..