Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A culturally responsive blended learning framework for technology-enhanced EFL contexts

Bibliographic Data

ID22417705
AuthorsMengjia Liu (0009-0002-2641-2639, National University of Malaysia), Harwati Hashim (0000-0002-8817-427X, National University of Malaysia, corresponding author), Nur Ainil Sulaiman (0000-0001-6212-7494, National University of Malaysia)
Year2026
Pages1-21
Publication date2026-05-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReCALL (JOURNAL)
Journal identifiersISSN: 0958-3440 • E-ISSN: 1474-0109
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0958344026100500
OpenAlexW7162311791
LanguageEN
References cited47

This quantitative study develops and validates a novel Culturally Responsive Blended Learning Success (CR-BLS) model for evaluating technology-enhanced EFL instruction effectiveness in collective educational contexts. Conducted at a Chinese university, the research examined an intelligent blended learning ecosystem integrating three widely adopted platforms (U-Campus, GradingNet, and Learning Hub) for content delivery, assessment, and collaboration in College English instruction. The CR-BLS model extends a widely recognized seven-factor quality framework by integrating three culturally grounded moderators: hierarchical teacher–student relationships, collective learning orientation, and examination-driven motivation. The proposed model was empirically validated through data collection from 1,816 non-English major undergraduates engaged with the blended learning ecosystem using partial least squares structural equation modeling (PLS-SEM). Results revealed that the proposed quality factors explained 71.4% of the variance in perceived satisfaction, 54.2% in perceived usefulness, and 34.1% in system use. Learner quality and instructor quality significantly influenced both perceived satisfaction and usefulness, while educational system quality primarily affected system use. Furthermore, perceived usefulness, satisfaction, and system use collectively accounted for 64.7% of the variance in perceived learning benefits. Cultural moderators demonstrated significant influence on the relationships between quality dimensions and learning outcomes, enhancing the proposed model’s contextual validity for collective educational environments. This study contributes to both theoretical advancement and practical implementation of blended learning systems in collective educational settings.

Blended Learning · Cooperative learning · Data collection · Educational technology · Multilevel model · Structural equation modeling · E-Learning and COVID-19 · Innovative Teaching and Learning Methods · Online and Blended Learning

  • E-learning success determinants

    Open Access•Wilmar Audye Cidral, Wilmar Cidral et al.•Computers & Education•2018

  • Blended learning

    Open Access•D Randy Garrison, Heather Kanuka•The Internet and Higher Education•2004

  • Information Systems Success

    William H DeLone, William DeLone et al.•Information Systems Research•1992

  • Using PLS Path Modeling for Assessing Hierarchical Construct Models

    Martin Wetzels, Odekerken-Schröder Odekerken-Schröder et al.•MIS Quarterly•2009

  • What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction

    Open Access•Pei-Chen Sun, Pei‐Chen Sun et al.•Computers & Education•2008

  • User Acceptance of Information Technology

    Viswanath Venkatesh, Venkatesh Venkatesh et al.•MIS Quarterly•2003

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Open Access•Jörg Henseler, Christian M Ringle et al.•Journal of the Academy of…•2015

  • When to use and how to report the results of PLS-SEM

    Open Access•Joseph F Hair, Jeffrey J Risher et al.•European Business Review•2019

  • Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

    Open Access•Claes Fornell, David F Larcker•Journal of Marketing Research•1981

  • Technology Acceptance Model 3 and a Research Agenda on Interventions

    Open Access•Vivek Venkatesh, Viswanath Venkatesh et al.•Decision Sciences•2008

  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

    Fred D Davis•MIS Quarterly•1989

  • Evaluating E-learning systems success

    Open Access•Dimah Al-Fraihat, Mike Joy et al.•Computers in Human Behavior•2020

  • Pre-service EFL teachers’ readiness in computer-assisted language learning and teaching

    Moonyoung Park, Jeong‐Bae Son•Asia Pacific Journal of Education•2022

  • Empowering the digital learner

    Open Access•Dan Wang, Qian Qiu et al.•Psychology in the Schools•2024

  • Key factors in learners’ satisfaction with the e-learning system at the University of Dar es Salaam, Tanzania

    Open Access•Joel S Mtebe, Christina Raphael•Australasian Journal of…•2018

  • How can we achieve better e-Learning success in the new normal

    Sodam Kim, Jumin Lee et al.•Internet Research•2022

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae