Affiliation:
1. School of Logistics Humanities and Arts, Hunan Modern Logistics College , Changsha , Hunan , , China .
Abstract
Abstract
The significance of interactive pedagogy in English education cannot be overstated, as it fosters student engagement, collaboration, and active learning, thereby enhancing both academic performance and comprehensive capabilities. This article presents a structured three-step strategy designed to integrate curriculum thinking into the teaching of English at higher vocational levels through a blended online and offline approach. Central to this methodology is the development of a robust “online + offline” teaching quality evaluation index system, innovatively constructed using a combination of rough set theory and a backpropagation (BP) neural network algorithm. Furthermore, the effectiveness of this pedagogical approach is quantitatively analyzed using a Markov chain model, which evaluates the progression of students’ English proficiency. The analysis reveals that sustained application of the proposed teaching methodology is likely to elevate students’ English performance to an estimated score of 84.273, marking a substantial improvement of 5.443 points over traditional methods. Empirical validation of the model’s effectiveness was achieved through student evaluations across three critical areas: Civic Integration Effectiveness, Pre-Class Preview, and Follow-Up Testing. The results of the post-test assessments yielded mean scores of 3.565, 3.564, and 3.695, respectively, indicating a significant enhancement in learning outcomes, as evidenced by p-values of less than 0.05. This statistical analysis confirms the significant impact of the innovative pedagogical strategy on student learning outcomes.
Reference26 articles.
1. Hua, S., & Ren, Z. (2020). “online + offline” course teaching based on case teaching method: a case study of entrepreneurship education course. International Journal of Emerging Technologies in Learning (iJET), 15(10), 69.
2. Guo, S., Chai, Q., & Wang, M. (2022). Evaluationmodel ofonline andofflinemixedteachingquality in colleges and universities based on bp neural network. Scientific Programming.
3. Cao, M. (2021). Design and implementation of multidimensional interaction in online english course under the assistance of omnimedia. Scientific Programming.
4. Wei, X. (2022). An intelligent grey correlation model for online english teaching quality analysis. Mobile information systems.
5. Zhou, S., & Zhang, T. (2017). Research on the construction of flipped classroom model for english teaching based on spoc. Revista de la Facultad de Ingenieria, 32(14), 267-273.