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- W4220761024 abstract "The blended learning system provides educational tools to a student in accordance with the student's expressed educational interests, and it is a mix of online training and assignments, giving them more control over the learning and other developmental facets, which it has a profound impact on current higher education. This article analyzes the “3+2” segmented training mode of higher vocational education and undergraduate education, discusses the problems existing in the curriculum system of marketing major in higher vocational education under this training mode and the transformative potential of blended learning in the context of the challenges facing higher education, with the perspective of Natural language Processing (NLP) Assistance on Digital library management, and in NLP the human language is divided into segments, so that the grammatical structure and the actual meaning of the words can be analyzed and understood that puts forward corresponding measures to promote the development of the integration of segmented training courses of higher vocational education and undergraduate education by smart technologies and improve the quality of marketing talents jointly trained under higher vocational education and undergraduate education. The observational results predict the research of some scholars and, this article puts forward the opinions of curriculum construction, and designs the integrated curriculum system diagram, to have a certain reference for the “3+2” joint training mode with the compounding of the NLP Assistance on Digital Management attains an effective and accurate outcome with the construction of marketing curriculum system based on blending learning." @default.
- W4220761024 created "2022-04-03" @default.
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- W4220761024 date "2022-11-12" @default.
- W4220761024 modified "2023-09-25" @default.
- W4220761024 title "Construction of Marketing Curriculum System Based on Blending Learning “3+2” Joint Training of Higher Vocational and Undergraduate Education Using NLP for Marketing Document Management and Information Retrieval" @default.
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- W4220761024 doi "https://doi.org/10.1145/3524113" @default.
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