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Article: Engaging EFL learners in online decoding training: comparing the conventional approach and the flipped SEF-ARCS model

TitleEngaging EFL learners in online decoding training: comparing the conventional approach and the flipped SEF-ARCS model
Authors
KeywordsDecoding training
engagement
English as a foreign language learning
English listening education
Issue Date4-Jul-2024
PublisherTaylor and Francis Group
Citation
Computer Assisted Language Learning, 2024 How to Cite?
Abstract

Aural decoding skill, the ability to recognize words from speech, is crucial for English as a Foreign Language (EFL) listening. Yet, mastering decoding is challenging due to word variations and blending in natural spoken English. Online decoding training is vital for EFL learners because it provides opportunities for consistent and intensive practices. However, students’ disengagement and perceived difficulty plague online decoding training. The flipped SEF (suitability, explore, feedback)-ARCS (attention, relevance, confidence, satisfaction) decoding model holds potential in addressing these challenges. This instructional model combines the flipped learning approach, SEF decoding principles and the ARCS motivational model. However, although this model has been shown to improve learning outcomes for EFL learners at post-intervention stages, its role in enhancing students’ actual engagement and performance during the learning process requires further investigation. This is crucial as low levels of actual engagement or performance during the everyday practices can dampen learners’ motivation for ongoing decoding practice. Therefore, this study investigates the impact of the flipped SEF-ARCS decoding model by comparing three groups: an online out-of-class decoding training using the flipped SEF-ARCS decoding model (EG2), an online out-of-class decoding training using the conventional decoding approach (EG1), and a control group without online out-of-class decoding training (CG). Results indicated that the flipped SEF-ARCS model significantly improved student behavioral and cognitive engagement, and their actual performance during daily practice compared to the conventional decoding approach. Understanding how the flipped SEF-ARCS decoding model influences both actual engagement and performance can offer valuable insights into designing effective online decoding training programs for EFL learners.


Persistent Identifierhttp://hdl.handle.net/10722/348056
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 2.370

 

DC FieldValueLanguage
dc.contributor.authorJia, Chengyuan-
dc.contributor.authorHew, Khe Foon-
dc.contributor.authorLu, Yao-
dc.date.accessioned2024-10-04T00:31:11Z-
dc.date.available2024-10-04T00:31:11Z-
dc.date.issued2024-07-04-
dc.identifier.citationComputer Assisted Language Learning, 2024-
dc.identifier.issn0958-8221-
dc.identifier.urihttp://hdl.handle.net/10722/348056-
dc.description.abstract<p>Aural decoding skill, the ability to recognize words from speech, is crucial for English as a Foreign Language (EFL) listening. Yet, mastering decoding is challenging due to word variations and blending in natural spoken English. Online decoding training is vital for EFL learners because it provides opportunities for consistent and intensive practices. However, students’ disengagement and perceived difficulty plague online decoding training. The flipped SEF (suitability, explore, feedback)-ARCS (attention, relevance, confidence, satisfaction) decoding model holds potential in addressing these challenges. This instructional model combines the flipped learning approach, SEF decoding principles and the ARCS motivational model. However, although this model has been shown to improve learning outcomes for EFL learners at post-intervention stages, its role in enhancing students’ actual engagement and performance during the learning process requires further investigation. This is crucial as low levels of actual engagement or performance during the everyday practices can dampen learners’ motivation for ongoing decoding practice. Therefore, this study investigates the impact of the flipped SEF-ARCS decoding model by comparing three groups: an online out-of-class decoding training using the flipped SEF-ARCS decoding model (EG2), an online out-of-class decoding training using the conventional decoding approach (EG1), and a control group without online out-of-class decoding training (CG). Results indicated that the flipped SEF-ARCS model significantly improved student behavioral and cognitive engagement, and their actual performance during daily practice compared to the conventional decoding approach. Understanding how the flipped SEF-ARCS decoding model influences both actual engagement and performance can offer valuable insights into designing effective online decoding training programs for EFL learners.</p>-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofComputer Assisted Language Learning-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDecoding training-
dc.subjectengagement-
dc.subjectEnglish as a foreign language learning-
dc.subjectEnglish listening education-
dc.titleEngaging EFL learners in online decoding training: comparing the conventional approach and the flipped SEF-ARCS model-
dc.typeArticle-
dc.identifier.doi10.1080/09588221.2024.2374769-
dc.identifier.scopuseid_2-s2.0-85197918775-
dc.identifier.eissn1744-3210-
dc.identifier.issnl0958-8221-

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