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A Graph-Based Approach for Adaptive Serious Games.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
A Graph-Based Approach for Adaptive Serious Games./
作者:
Patel, Nidhi G.
面頁冊數:
1 online resource (68 pages)
附註:
Source: Masters Abstracts International, Volume: 84-11.
Contained By:
Masters Abstracts International84-11.
標題:
Computer engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9798379535704
A Graph-Based Approach for Adaptive Serious Games.
Patel, Nidhi G.
A Graph-Based Approach for Adaptive Serious Games.
- 1 online resource (68 pages)
Source: Masters Abstracts International, Volume: 84-11.
Thesis (M.S.)--Rowan University, 2023.
Includes bibliographical references
Traditional education systems are based on the one-size-fits-all approach, which lacks personalization, engagement, and flexibility necessary to meet the diverse needs and learning styles of students. This encouraged researchers to focus on exploring automated, personalized instructional systems to enhance students' learning experiences. Motivated by this remark, this thesis proposes a personalized instructional system using a graph method to enhance a player's learning process by preventing frustration and avoiding a monotonous experience. Our system uses a directional graph, called an action graph, for representing solutions to in-game problems based on possible player actions. Through our proposed algorithm, a serious game integrated with our system would both detect player errors and provide personalized assistance to direct a player in the direction of a correct solution. To verify system performance, this research presents comparison testing on a group of students engaging in the game both with and without AI. Students who played the AI-assisted game showed an average 20% decrease in time needed and an average 58% decrease in actions taken to complete the game.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798379535704Subjects--Topical Terms:
569006
Computer engineering.
Subjects--Index Terms:
Action graphIndex Terms--Genre/Form:
554714
Electronic books.
A Graph-Based Approach for Adaptive Serious Games.
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Source: Masters Abstracts International, Volume: 84-11.
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Advisor: Tang, Ying Gina.
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Includes bibliographical references
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Traditional education systems are based on the one-size-fits-all approach, which lacks personalization, engagement, and flexibility necessary to meet the diverse needs and learning styles of students. This encouraged researchers to focus on exploring automated, personalized instructional systems to enhance students' learning experiences. Motivated by this remark, this thesis proposes a personalized instructional system using a graph method to enhance a player's learning process by preventing frustration and avoiding a monotonous experience. Our system uses a directional graph, called an action graph, for representing solutions to in-game problems based on possible player actions. Through our proposed algorithm, a serious game integrated with our system would both detect player errors and provide personalized assistance to direct a player in the direction of a correct solution. To verify system performance, this research presents comparison testing on a group of students engaging in the game both with and without AI. Students who played the AI-assisted game showed an average 20% decrease in time needed and an average 58% decrease in actions taken to complete the game.
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click for full text (PQDT)
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