Learning Methods Based on Artificial Intelligence in Educating Engineers for the New Jobs of the 5th Industrial Revolution

Modran, Horia Alexandru; Ursuțiu, Doru; Samoilă, Cornel; Chamunorwa, Tinashe

doi:10.1007/978-3-030-68201-9_55

Cited by 4 publications

(1 citation statement)

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“…In prior research, the same group of researchers proposed an instructional methodology for training engineers in all necessary procedures for the creation, validation, and implementation of machine learning-based systems [10], as well as strategies for incorporating Artificial Intelligence and ChatGPT into Higher Engineering Education [11]. The current study seeks to transcend the limitations of traditional tutoring and general-purpose LLMs by providing accurate, contextually relevant, and personalized assistance, thereby enhancing student understanding and engagement.…”

Section: Introductionmentioning

confidence: 99%

LLM Intelligent Agent Tutoring in Higher Education Courses using a RAG Approach

Modran,

Bogdan,

Ursuțiu

et al. 2024

Preprint

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Conventional tutoring approaches are confronted with limitations such as restricted availability, inconsistent pedagogical quality, and scalability con-straints. Furthermore, the exclusive use of Large Language Models (LLMs) like ChatGPT in education has its shortcomings, including the potential for incorrect responses and the lack of customized guidance aligned with specific course con-tent. This research proposes an innovative intelligent chatbot tutoring system, in-tegrating the Retrieval Augmented Generation (RAG) approach with a custom LLM. The developed system aims to overcome the limitations of traditional tu-toring and general-purpose LLMs by providing accurate, contextually relevant, and personalized assistance, thereby enhancing student understanding and en-gagement. The system, powered by an intelligent agent, retrieves relevant information from curated academic sources, incorporates interactive features for user feedback, and utilizes machine learning algorithms for ongoing performance enhancement, ensuring a robust and effective tutoring experience. The anticipated outcome is an enriched educational experience for university students, advance-ment in personalized learning, and improved student engagement, retention, and academic performance. Through continuous research and refinement, it is expected that the intelligent chatbot tutor will assume an important role in enhancing and supporting the educational journey of students.

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Section: Introductionmentioning

confidence: 99%