Using DeepSeek LLM AI System on Database Concepts and Design

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dc.contributor.authorPornphol, Putsadee
dc.contributor.authorChittayasothorn, Suphamit
dc.date.accessioned2026-08-06T10:49:07Z
dc.date.available2026-08-06T10:49:07Z
dc.date.issued2025-01-01
dc.description.abstractThe use of Large Language Model (LLM) artificial intelligence (AI) systems in learning environments is ubiquitous. They are used by learners for self-studying, assignments, and exam preparation. Practitioners use them as junior assistants. Major concerns include the correctness and the completeness of the answers generated by the AI systems. In this paper, we explore how well an LLM AI system DeepSeek, answers database concepts and design questions. Selected questions on database design and frequently misunderstood topics are asked. Related knowledge is explained. The answers are reviewed and marked to provide an assessment on its use in the subject area.
dc.identifier.citationProceedings of the IEEE International Conference on Computer Communication and the Internet Iccci, 153-159, 2025
dc.identifier.doi10.1109/ICCCI65070.2025.11158105
dc.identifier.issn28332342
dc.identifier.other2-s2.0-105017624710
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/16424
dc.sourceProceedings of the IEEE International Conference on Computer Communication and the Internet Iccci
dc.subjectDatabase Design
dc.subjectDeepSeek
dc.subjectER Model
dc.subjectLLM AI
dc.subjectRelational Database
dc.titleUsing DeepSeek LLM AI System on Database Concepts and Design
dc.typeConference Paper

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