Enhancing English Speaking Ability through the Integration of Smart Education and Stratified Teaching: A Model for EFL Instruction

Abstract

Background and Objectives: The study addresses the challenge of enhancing English-speaking abilities among English as a Foreign Language (EFL) students by integrating Smart Education with Stratified English Teaching. The research aims to fill the gap in effective instructional models that cater to diverse student proficiency levels in vocational education settings. Methods: A mixed-methods approach was employed, involving 498 EFL students at Shandong Vocational College of Science and Technology (SVCST). The study utilized the Fanya online learning platform, mobile applications, and multimedia devices, tailored to different proficiency levels (Level A and Level B). Data collection included pre-tests and post-tests to measure speaking proficiency, alongside qualitative data from student feedback, classroom observations, and interviews. Results: The implementation of the instructional model resulted in a statistically significant improvement in students' English-speaking abilities, with an average increase of X% in post-test scores (p < 0.05). Students also reported increased confidence and participation, particularly those in the lower proficiency group. Conclusion: The integration of Smart Education with Stratified Teaching effectively enhances English-speaking skills in EFL students. This model addresses varying learning needs and demonstrates potential for broader application in different educational contexts. The study suggests that such an approach can significantly contribute to improving language proficiency in vocational education settings, making it a valuable strategy for educators worldwide.