Quantification and Analysis of the Efficiency of Iterative Learning by Using Event Related Potentials

• FUNADA Mariko

  Department of Business Administration, Hakuoh University

• FUNADA Tadashi

  College of Science, Rikkyo University

• SHIBUKAWA Miki

  Department of Education, Hakuoh University

• AKAHORI Kanji

  Department of Education, Hakuoh University

抄録

In order to discuss quantitatively the effect and progress of learning, we introduce a definition of learning effect. We intend to estimate quantitatively the proficiency of learning tasks by suitable measurement. The learning effect has been usually evaluated by the percentage of correct answers in a test/examination at the end of a learning course. However, human intellectual actions are also controlled by their cerebral nervous systems, and the learning effect can be evaluated by the measured data from their brain activities. In this paper, we adopt a change of the correct answer ratios as the definition of the learning effect. We estimate the change of the ratios by observing the changes of the electrical signals from brains. The learning effect reflects the proficiency of the learner during the process of a learning task. We first propose a model for estimating the learning effect from the brain activities. Next we analyze the experimental data of the tasks selecting one from three choices. From the data analysis we determine parameters that are used in the model. EEGs (ElectroEncephaloGrams) are electrical signals from brains that are activated by stimuli. They have a fine time resolution. An ERP (Event-Related Potential) is the average of EEGs. We use ERPs to measure brain activities caused by the tasks. Then we evaluate the usefulness of the parameters adopted in the model. This approach is an attempt to quantify the learning effect by physiological parameters.

収録刊行物

• Educational technology research

  Educational technology research 35 (1-2), 103-113, 2012

  日本教育工学会

キーワード

• learning effect
• proficiency
• EEG
• ERP
• measurement

詳細情報

• CRID: 1390001205219878656
• NII論文ID: 110009553525
• NII書誌ID: AA00174437
• DOI: 10.15077/etr.kj00008327915
• ISSN: 21897751
• ISSN: 03877434
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可