Article: Analysis of factors influencing student learning experience in the blended online-offline smart education model Journal: International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL) 2026 Vol.36 No.7 pp.23 - 34 Abstract: Research on the influencing factors of students' learning experience in the blended online-offline smart education model is significant for optimising the allocation of educational resources and improving teaching effectiveness. In this study, first, 14 key factors were identified across five dimensions, including course environment, platform, and course design. Through expert inquiry, logical connections between factors were analysed, and an adjacency matrix was established. Next, the reachable matrix was calculated to reveal the hierarchical structure, defining the reachable set and antecedent set to extract factors hierarchically. Finally, an interpretive structural model was constructed to demonstrate the hierarchy and interactions among factors. Test results indicate that the proposed method maintains over 95% accuracy in analysing learning experience factors, with a factor weight stability index ranging between 0.97 and 0.99 and a fluctuation amplitude of only 0.02. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis of factors influencing student learning experience in the blended online-offline smart education model

Authors: Yuan Fang; Juan Hu

Addresses: Conservatory of Music, Henan Polytechnic, Zhengzhou, Henan, 450000, China ' Conservatory of Music, Henan Polytechnic, Zhengzhou, Henan, 450000, China

Abstract: Research on the influencing factors of students' learning experience in the blended online-offline smart education model is significant for optimising the allocation of educational resources and improving teaching effectiveness. In this study, first, 14 key factors were identified across five dimensions, including course environment, platform, and course design. Through expert inquiry, logical connections between factors were analysed, and an adjacency matrix was established. Next, the reachable matrix was calculated to reveal the hierarchical structure, defining the reachable set and antecedent set to extract factors hierarchically. Finally, an interpretive structural model was constructed to demonstrate the hierarchy and interactions among factors. Test results indicate that the proposed method maintains over 95% accuracy in analysing learning experience factors, with a factor weight stability index ranging between 0.97 and 0.99 and a fluctuation amplitude of only 0.02.

Keywords: blended online and offline; smart education model; learning experience; analysis of influencing factors.

DOI: 10.1504/IJCEELL.2026.151814

International Journal of Continuing Engineering Education and Life-Long Learning, 2026 Vol.36 No.7, pp.23 - 34

Received: 23 May 2025
Accepted: 24 Sep 2025
Published online: 20 Feb 2026 *

Title: Analysis of factors influencing student learning experience in the blended online-offline smart education model

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