Automatic Generation of Learning Support Function According to Individual Understanding for Automatically Generated Educational Games

• Project/Area Number: 26730175
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Learning support system
• Research Institution: Kyushu Institute of Technology
• Principal Investigator: UMETSU Takanobu 九州工業大学, 大学院情報工学研究院, 助教 (80432954)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000); Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: 学習支援システム / 学習コンテンツ開発支援 / 学習用ゲーム / オーサリング

Outline of Final Research Achievements

We present an automatic generation of learning support function according to individual understanding for automatically generated educational games. The support function selects problems in which a learner is weak, calculates correct answer rate for each type of problem, and highlights problems in which a learner is weak in playing generated games. Learner’s understanding is assumed from player’s move is good or bad when players solved the problems in playing generated game. Therefore, we clarified the why and when players solved the problems in playing generated game. We confirmed that there was a significant difference in number of successive incorrect answers between presence and absence of support function.