Reconstruction and Practice of Online-Offline Hybrid Teaching Model for Higher Vocational Maritime English under the OBE Concept
DOI:
https://doi.org/10.54097/y1d7qd06Keywords:
OBE concept; higher vocational maritime English; hybrid teaching; teaching model reconstruction; vocational competence.Abstract
Against the backdrop of the globalization of the shipping industry and policies promoting the informatization of vocational education, this paper addresses the current issues in higher vocational maritime English teaching, such as low classroom participation, low skill conversion rate, and low job fit. It deeply integrates the OBE concept with online-offline hybrid teaching to reconstruct the teaching model for higher vocational maritime English. The study first analyzes the alignment between the OBE concept and higher vocational maritime English teaching in terms of goals, practice, and improvement. It then proposes practical pathways, including the construction of a "DACUM-OBE" dual-track goal matrix, the development of "three databases and one platform" resources, the design of "pre-class, in-class, post-class" three-stage teaching activities, and the innovation of a "dual-line, three-dimensional" evaluation system. Practice shows that this model has increased the pass rate of students' oral English tests by 24% and enterprise satisfaction by 39%, effectively bridging the gap between "classroom and workplace." The research provides a practical example for the digital transformation of vocational education, and future work will explore the application of metaverse technology and the establishment of an international certification system.
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[2] Yao Qi, Gong Binbin, Hu Axiang. Analysis of the Path of Hybrid Teaching Reform in College Courses under the OBE Concept[J]. Journal of Higher Education, 2024, 10(22): 124-127+131. DOI:10.19980/j.CN23-1593/G4.2024.22.030.
[3] Wu Changwei, Gao Yang, Sun Xu, et al. Research and Practice on the Construction of First-Class Online-Offline Hybrid Courses[J]. Journal of Heilongjiang Institute of Technology, 2023, 37(06): 77-82. DOI:10.19352/j.cnki.issn1671-4679.2023.06.014.
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