Short-term Chaotic Time-Series Prediction of Language Test Scores Adopting the Backpropagation Algorithm

• KIDO Kazuhiko

  International Pacific University

• FUKUDA Eri

  Chugokugakuen University

• HASHIMOTO Shinichi

  The University of Electro-Communications

• OKAZAKI Hironobu

  Akita Prefectural University

Abstract

In recent years, in Japan, learning outcomes are increasingly demanded to maintain and improve the quality of undergraduate education. Learning outcomes are descriptions of what students are expected to be able to learn, understand, practice, and perform upon completion of learning. Visualization of these outcomes is quite a omplicated task. Therefore, a system which enables us to predict test scores in a short time scale is necessary in order to visualize learning outcomes. In this paper, short-term test score prediction is conducted using the test results obtained from an e-learning program developed by the current researchers. The methods and the results are discussed in terms of pedagogic perspectives.

Journal

• Japan e-Learning Association Journal

  Japan e-Learning Association Journal 16 (0), 65-72, 2016

  Japan e-Learning Association

Details

• CRID: 1390003825207336704
• NII Article ID: 130007890258
• DOI: 10.32144/jela.16.0_65
• ISSN: 2434415X
• ISSN: 13490192
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed