Fuzzy Logic Based Prospects Identification System for Foreign Language Learning Through Serious Games

IEEE Access

Saad Awadh Alanazi¹  Nacim Yanes¹  Fahad Ahmad²  Ikram Bououd³ 

[1] College of Computer and Information Sciences, Jouf University, Sakakah, Saudi Arabia;Department of Basic Sciences, Deanship of Common First Year, Jouf University, Sakakah, Saudi Arabia;Kedge Business School, Marseille, France;

关键词: Serious games;    Foreign language learning;    Delphi;    investigative study;    fuzzy logic;    neural networks;   

DOI  :  10.1109/ACCESS.2021.3074374

来源: DOAJ

【 摘 要 】

Interest in serious games for education has grown during the last years. The credit goes to the potential for engaging students with new ways to capture and maintain attention. The goal of this paper is to introduce a new multidisciplinary approach that incorporates psychological analysis theory with fuzzy inference and neural networks in the Foreign Language Learning prospects identification through serious games. Our research first used a Delphi method to accumulate Information Systems students’ opinions resulting from a SWOT analysis of the use of serious games to learn English language. Then, we designed a Fuzzy Logic based Foreign Language Learning Prospects Identification System through serious games that takes four standard input parameters (Strengths, Weaknesses, Opportunities, Threats) already identified during our SWOT analysis and predicts the output (Learning Prospects of Foreign Language) by considering impact of certain variations in input parameters. Implementation results have been obtained through (MATLAB R2020a) and have shown reliable incites and findings.

【 授权许可】

Unknown