Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning

Lu, Ruei-Shan; Lin, Ching-Chang; Tsao, Hsiu-Yuan

doi:10.3390/app14125264

Open AccessArticle

Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning

by

Ruei-Shan Lu

¹,

Ching-Chang Lin

^2,*

and

Hsiu-Yuan Tsao

³

¹

Department of Management Information System, Takming University of Science and Technology, Taipei City 114, Taiwan

²

Department of Business Administration, Taipei City University of Science and Technology, Taipei City 112, Taiwan

³

Department of Marketing, National Chung Hsing University, Taichung City 402, Taiwan

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2024, 14(12), 5264; https://doi.org/10.3390/app14125264

Submission received: 2 May 2024 / Revised: 9 June 2024 / Accepted: 16 June 2024 / Published: 18 June 2024

(This article belongs to the Special Issue Text Mining, Machine Learning, and Natural Language Processing)

Download

Browse Figure

Review Reports Versions Notes

Abstract

Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, their performance in domain-specific contexts, such as E-learning, is hindered by the lack of specific domain knowledge. This paper adopts a novel approach of retrieval augment generation to empower LLMs with domain-specific knowledge in the field of E-learning. The approach leverages external knowledge sources, such as E-learning lectures or research papers, to enhance the LLM’s understanding and generation capabilities. Experimental evaluations demonstrate the effectiveness and superiority of our approach compared to existing methods in capturing and generating E-learning-specific information.

Keywords: LLM; domain-specific knowledge; E-learning

Share and Cite

MDPI and ACS Style

Lu, R.-S.; Lin, C.-C.; Tsao, H.-Y. Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning. Appl. Sci. 2024, 14, 5264. https://doi.org/10.3390/app14125264

AMA Style

Lu R-S, Lin C-C, Tsao H-Y. Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning. Applied Sciences. 2024; 14(12):5264. https://doi.org/10.3390/app14125264

Chicago/Turabian Style

Lu, Ruei-Shan, Ching-Chang Lin, and Hsiu-Yuan Tsao. 2024. "Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning" Applied Sciences 14, no. 12: 5264. https://doi.org/10.3390/app14125264

APA Style

Lu, R.-S., Lin, C.-C., & Tsao, H.-Y. (2024). Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning. Applied Sciences, 14(12), 5264. https://doi.org/10.3390/app14125264

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

Empowering Large Language Models to Leverage Domain-Specific Knowledge in E-Learning

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI