A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
文献类型：期刊论文
| 作者 | Liang, Jing5 ; Tang, Ying1,4; Hare, Ryan1; Wu, Ben1; Wang, Fei-Yue2,3
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| 刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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| 出版日期 | 2021-12-22 |
| 页码 | 9 |
| 关键词 | Games Task analysis Problem-solving Petri nets Random forests Training Radio frequency Learning optimization Petri nets (PNs) serious game (SG) |
| ISSN号 | 2329-924X |
| DOI | 10.1109/TCSS.2021.3132355 |
| 通讯作者 | Tang, Ying(tang@rowan.edu) |
| 英文摘要 | Serious games (SGs) are a practice of growing importance due to their high potential as an educational tool for augmented learning. However, little effort has been devoted to address student learning optimization in an SG from a systematic point of view. This article tackles this challenge by developing a learning-embedded attribute Petri net (LAPN) model to represent game flow and student learning decision-makings. The dynamics of learner behaviors in game are then addressed through the incorporation of learning mechanisms (i.e., reinforcement learning (RL) and random forest classification) into the Petri net model for knowledge reasoning and learning. Finally, an algorithm based on LAPN is proposed, aiming to guide learners to achieve a faster and better solution to problem-solving in game. The benefit of the proposed model and algorithm is then demonstrated in the SG Gridlock. |
| WOS关键词 | DISCOVERY ; SYSTEM ; FUN |
| 资助项目 | National Science Foundation[1913809] ; National Science Foundation[2121277] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000734083300001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46983]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Tang, Ying |
| 作者单位 | 1.Rowan Univ, Dept Elect & Comp Engn, Glassboro, NJ 08028 USA 2.Qingdao Acad Intelligent Ind, Inst Smart Educ, Qingdao 266000, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Qingdao Acad Intelligent Ind, Inst Smart Educ, Qingdao 266000, Peoples R China 5.Squirrel AI Learning Yixue Educ Inc, Highland Pk, NJ 08904 USA |
| 推荐引用方式 GB/T 7714 | Liang, Jing,Tang, Ying,Hare, Ryan,et al. A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:9. |
| APA | Liang, Jing,Tang, Ying,Hare, Ryan,Wu, Ben,&Wang, Fei-Yue.(2021).A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,9. |
| MLA | Liang, Jing,et al."A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):9. |
入库方式： OAI收割
来源：自动化研究所
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