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Fuzzy Hierarchical Analysis to Construct Factors for Purchasing Language Online Courses

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

After the Covid-19 pandemic, online learning and remote education became global trends. This study explores online language courses to understand factors influencing post-pandemic consumer choices. Through focus group interviews, 18 factors emerged, grouped into 5 categories via Principal Component Analysis (PCA): "A. Course Quality and Instruction,""B. Extracurricular Opportunities and Interaction,""C. Overall Course Iterative Updates,""D. Certificate Accreditation and Recognition,"and "E. Flexibility in Course Planning."Using Fuzzy Analytic Hierarchy Process, "D. Certificate Accreditation and Recognition"was most important (weight: 0.304), followed by "E. Flexibility in Course Planning"(weight: 0.214). Post-pandemic, consumers prioritize certification for career and academic benefits, valuing course flexibility too, reflecting self-directed learning needs. This study guides providers in optimizing courses for consumer needs, offering strategic advice for institutions and platforms. Future research could explore more online language learning factors or combine methodologies for deeper insights.

Original languageEnglish
Title of host publicationGCCE 2023 - 2023 IEEE 12th Global Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-284
Number of pages5
ISBN (Electronic)9798350340181
DOIs
Publication statusPublished - 2023
Event12th IEEE Global Conference on Consumer Electronics, GCCE 2023 - Nara, Japan
Duration: 2023 Oct 102023 Oct 13

Publication series

NameGCCE 2023 - 2023 IEEE 12th Global Conference on Consumer Electronics

Conference

Conference12th IEEE Global Conference on Consumer Electronics, GCCE 2023
Country/TerritoryJapan
CityNara
Period23-10-1023-10-13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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