Fuzzy logic based prospects identification system for foreign language learning through serious games

Nacim Yanes, Ikram Bououd, Saad Awadh Alanazi, Fahad Ahmad

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)63173-63187
Number of pages15
JournalIEEE Access
Publication statusPublished - 20 Apr 2021


  • Serious games
  • Foreign language learning
  • Delphi
  • investigative study
  • fuzzy logic
  • neural networks
  • inference system
  • adaptive neuro fuzzy inference system

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