An Experiment with LLMs as Database Design Tutors: Persistent Equity and Fairness Challenges in Online Learning
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| Pubblicato in: | Education Sciences vol. 15, no. 3 (2025), p. 386 |
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| Autore principale: | |
| Pubblicazione: |
MDPI AG
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| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/educsci15030386 |2 doi | |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Jamil, Hasan M | |
| 245 | 1 | |a An Experiment with LLMs as Database Design Tutors: Persistent Equity and Fairness Challenges in Online Learning | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As large language models (LLMs) continue to evolve, their capacity to replace humans as their surrogates is also improving. As increasing numbers of intelligent tutoring systems (ITSs) are embracing the integration of LLMs for digital tutoring, questions are arising as to how effective they are and if their hallucinatory behaviors diminish their perceived advantages. One critical question that is seldom asked if the availability, plurality, and relative weaknesses in the reasoning process of LLMs are contributing to the much discussed digital divide and equity and fairness in online learning. In this paper, we present an experiment with database design theory assignments and demonstrate that while their capacity to reason logically is improving, LLMs are still prone to serious errors. We demonstrate that in online learning and in the absence of a human instructor, LLMs could introduce inequity in the form of “wrongful” tutoring that could be devastatingly harmful for learners, which we call ignorant bias, in increasingly popular digital learning. We also show that significant challenges remain for STEM subjects, especially for subjects for which sound and free online tutoring systems exist. Based on the set of use cases, we formulate a possible direction for an effective ITS for online database learning classes of the future. | |
| 610 | 4 | |a Griffith University | |
| 653 | |a Teaching | ||
| 653 | |a Tutoring | ||
| 653 | |a Dependency theory | ||
| 653 | |a Online instruction | ||
| 653 | |a Design | ||
| 653 | |a Calculators | ||
| 653 | |a Database design | ||
| 653 | |a Distance learning | ||
| 653 | |a Education | ||
| 653 | |a Chatbots | ||
| 653 | |a Large language models | ||
| 653 | |a Databases | ||
| 653 | |a Mathematics Instruction | ||
| 653 | |a Electronic Learning | ||
| 653 | |a Online Systems | ||
| 653 | |a Intelligent Tutoring Systems | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Educational Assessment | ||
| 653 | |a Distance Education | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Algorithms | ||
| 773 | 0 | |t Education Sciences |g vol. 15, no. 3 (2025), p. 386 | |
| 786 | 0 | |d ProQuest |t Education Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3181430174/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3181430174/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3181430174/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |