A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game

doi:10.1109/TCSS.2021.3132355

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
	Liang, Jing1 ; Tang, Ying 2,3; Hare, Ryan 2; Wu, Ben 2; Wang, Fei-Yue4,5
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2021-12-22
页码	9
通讯作者	Tang, Ying(tang@rowan.edu)
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.
关键词	Games Task analysis Problem-solving Petri nets Random forests Training Radio frequency Learning optimization Petri nets (PNs) serious game (SG)
DOI	10.1109/TCSS.2021.3132355
关键词[WOS]	DISCOVERY ; SYSTEM ; FUN
收录类别	SCI
语种	英语
资助项目	National Science Foundation[1913809] ; National Science Foundation[2121277]
项目资助者	National Science Foundation
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000734083300001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46984
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Tang, Ying
作者单位	1.Squirrel AI Learning Yixue Educ Inc, Highland Pk, NJ 08904 USA 2.Rowan Univ, Dept Elect & Comp Engn, Glassboro, NJ 08028 USA 3.Qingdao Acad Intelligent Ind, Inst Smart Educ, Qingdao 266000, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Qingdao Acad Intelligent Ind, Inst Smart Educ, Qingdao 266000, Peoples R China
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.