Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot

With the rapid evolution of intelligent and electric vehicle technologies, the automotive industry faces significant transformation, especially in autonomous driving, connected systems, and global market integration. This shift has heightened the demand for skilled automotive marketing professionals...

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Main Authors: Lu, Hong Kun, Fei, Song, Noor, M. M., Wu, Bingli
Format: Article
Language:English
Published: Akademia Baru 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/43494/
http://umpir.ump.edu.my/id/eprint/43494/1/J%202024%20ARFMT%20LuHK%20M.M.Noor%20Automotive%20Edu%20Case%20Study.pdf
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author Lu, Hong Kun
Fei, Song
Noor, M. M.
Wu, Bingli
author_facet Lu, Hong Kun
Fei, Song
Noor, M. M.
Wu, Bingli
author_sort Lu, Hong Kun
building UMP Institutional Repository
collection Online Access
description With the rapid evolution of intelligent and electric vehicle technologies, the automotive industry faces significant transformation, especially in autonomous driving, connected systems, and global market integration. This shift has heightened the demand for skilled automotive marketing professionals equipped with both practical expertise and cross-cultural competence. This study explores the application of Baidu's ERNIE Bot as a knowledge-enhanced large language model in automotive marketing education. Focusing on its capabilities to innovate teaching content, optimize instructional methods, expand virtual training, and enhance cross-cultural sensitivity, we investigate ERNIE Bot’s effectiveness in preparing students for global industry challenges. Case studies illustrate ERNIE Bot’s role in guiding students through culturally tailored virtual marketing scenarios, emphasizing the importance of cultural adaptation in customer engagement and international sales. The findings suggest that knowledgeenhanced language models not only enrich educational content but also improve students’
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institution Universiti Malaysia Pahang
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publisher Akademia Baru
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spelling ump-434942025-01-07T01:49:04Z http://umpir.ump.edu.my/id/eprint/43494/ Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot Lu, Hong Kun Fei, Song Noor, M. M. Wu, Bingli L Education (General) T Technology (General) TJ Mechanical engineering and machinery With the rapid evolution of intelligent and electric vehicle technologies, the automotive industry faces significant transformation, especially in autonomous driving, connected systems, and global market integration. This shift has heightened the demand for skilled automotive marketing professionals equipped with both practical expertise and cross-cultural competence. This study explores the application of Baidu's ERNIE Bot as a knowledge-enhanced large language model in automotive marketing education. Focusing on its capabilities to innovate teaching content, optimize instructional methods, expand virtual training, and enhance cross-cultural sensitivity, we investigate ERNIE Bot’s effectiveness in preparing students for global industry challenges. Case studies illustrate ERNIE Bot’s role in guiding students through culturally tailored virtual marketing scenarios, emphasizing the importance of cultural adaptation in customer engagement and international sales. The findings suggest that knowledgeenhanced language models not only enrich educational content but also improve students’ Akademia Baru 2024 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/43494/1/J%202024%20ARFMT%20LuHK%20M.M.Noor%20Automotive%20Edu%20Case%20Study.pdf Lu, Hong Kun and Fei, Song and Noor, M. M. and Wu, Bingli (2024) Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot. Journal of Advanced Research in Technology and Innovation Management, 13 (1). pp. 1-12. ISSN 2811-4744. (Published) https://doi.org/10.37934/jartim.13.1.112 10.37934/jartim.13.1.112
spellingShingle L Education (General)
T Technology (General)
TJ Mechanical engineering and machinery
Lu, Hong Kun
Fei, Song
Noor, M. M.
Wu, Bingli
Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title_full Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title_fullStr Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title_full_unstemmed Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title_short Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot
title_sort exploring the application of knowledge-enhanced large language models in automotive marketing education: a case study of ernie bot
topic L Education (General)
T Technology (General)
TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/43494/
http://umpir.ump.edu.my/id/eprint/43494/
http://umpir.ump.edu.my/id/eprint/43494/
http://umpir.ump.edu.my/id/eprint/43494/1/J%202024%20ARFMT%20LuHK%20M.M.Noor%20Automotive%20Edu%20Case%20Study.pdf