Interactive strategy optimization in higher vocational business English blended teaching empowered by AI and BOPPPS in the digital intelligence era
Jing Feng
Guangdong Innovative Technical College
Xiaolan Zhu
Guangdong Innovative Technical College
DOI: https://doi.org/10.59429/esta.v13i1.13401
Keywords: digital intelligence; higher vocational education; business English; AI; BOPPPS; blended teaching; interactive strategy
Abstract
In the era of digital intelligence, artificial intelligence (AI) provides strong technical support for the innovation of business English teaching in higher vocational colleges. Aiming at the problems of insufficient interaction, single evaluation mode, and weak practical application ability in traditional business English teaching, this paper constructs an interactive strategy system of "AI BOPPPS" blended teaching. Based on the six links of the BOPPPS model, namely Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, and Summary, this study integrates AI technologies such as intelligent teaching platforms, AI oral evaluation, and big data analysis to realize multi-dimensional interactions including teacher-student interaction, student-student interaction, and human-computer interaction. Empirical results show that the strategy significantly improves students' learning participation, autonomous learning ability and business English application level. This research provides a referable teaching mode and practical path for the blended teaching reform of higher vocational business English.
References
[1] Chen, L. (2021). Research on blended teaching mode of business English based on artificial intelligence.
Journal of Higher Vocational Education, 12(3), 45–52.
[2] Du, Y. (2022). Application of BOPPPS teaching model in college English classroom teaching. Journal of
Educational Technology, 8(2), 36–42.
[3] Li, H. (2023). Intelligent teaching reform of business English in vocational colleges under the background of
digital economy. Vocational Education Forum, 15(1), 67–73.
[4] Liu, X. (2020). Blended learning and interactive teaching design in foreign language education. Journal of
Foreign Language Teaching, 41(5), 12–18.
[5] Sun, M. (2023). Research on AI-assisted oral English teaching based on intelligent evaluation system. Modern
Educational Technology, 33(4), 89–95.
[6] Wang, Q. (2022). Practical research on BOPPPS model integrated with intelligent platform in vocational
English teaching. China Vocational and Technical Education, 18(6), 76–81.
[7] Zhang, J. (2021). Interactive strategies in blended teaching: From theory to practice. E-Learning in China,
9(2), 55–62.
[8] Zhang, Y., Li, S. (2024). Digital intelligence empowerment: Innovative path of business English teaching in
higher vocational colleges. Journal of Applied Linguistics, 7(1), 29–37.
[9] Zhao, T. (2023). Construction of personalized teaching system of business English based on big data. Journal
of Educational Informatization, 10(3), 112–119.
[10] Zhou, W. (2022). Research on participatory teaching design of business English from the perspective of
vocational ability training. Vocational Education Research, 14(4), 58–64.