A study on leaning assistance function for a digital textbook by subjective annotation

2016 Fiscal Year Final Research Report

• Project/Area Number: 26560125
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: Tokyo Metropolitan University
• Principal Investigator: Ikei Yasushi 首都大学東京, システムデザイン研究科, 教授 (00202870)
• Co-Investigator(Renkei-kenkyūsha): TAKESHI Kitazawa 東京学芸大学, 教育学部, 准教授 (80453033)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 認知工学 / 主観的注釈 / 画像合成 / ストーリー / 超臨場感

Outline of Final Research Achievements

In this research, we proposed a learning support function for digital textbooks that enhanced motivation and facilitated memory retention and reproduction of learners by allowing them to create an interesting sentence and image to attach to the target text. The sentence was a description of specific behaviors of the user’s friend or acquaintance. It was a short sentence either of a subjective dependent type, phonological type, emotional type, or general type. Experimental results showed that both the subject dependent and phonological type sentences were particularly effective for improving the recall ratio.
Regarding the method to promote the learner's memorization by using the image of interest, the image related to the target word was acquired first, and then, the personified character image was synthesized with it. As a result, the recall ratio was remarkably increased when the character image with consistent meaning was used.

Free Research Field

認知工学、超臨場感、バーチャルリアリティ、ヒューマンインタフェース