Probability-based adaptive hints to scaffold learning

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12407
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: The University of Electro-Communications
• Principal Investigator: Ueno Maomi 電気通信大学, 大学院情報理工学研究科, 教授 (50262316)
• Co-Investigator(Kenkyū-buntansha): 安藤 雅洋 長岡技術科学大学, 工学研究科, 助教 (00345539) ; 宇都 雅輝 電気通信大学, 大学院情報理工学研究科, 助教 (10732571) ; 宮澤 芳光 東京学芸大学, その他部局等, 助教 (70726166)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 項目反応理論 / 足場かけ / eラーニング / 適応型テスト / eテスティング

Outline of Final Research Achievements

This study developed a scaffolding system that provides adaptive hints to adjust the predictive probability of the learner's successful performance to the previously determined certain value, using the item response theory (IRT). Furthermore, using the scaffolding system, we compared learning performances by changing the predictive probability. Results show that scaffolding to achieve 0.5 learner success probability provides the best performance. Additionally, results demonstrate that a scaffolding system providing 0.5 probability decreases the number of hints automatically as a fading function according to the learner's growth capability.

Free Research Field

教育工学