AI-assisted creation and evaluation of academic IT projects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927240" target="_blank" >RIV/62156489:43110/25:43927240 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.22367/uekat.9788378759409" target="_blank" >https://doi.org/10.22367/uekat.9788378759409</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AI-assisted creation and evaluation of academic IT projects
Original language description
Generative artificial intelligence (AI) is transforming the educational landscape and offers significant time savings for students and teachers. However, this convenience raises questions about the effectiveness and reliability of AI-generated projects and their evaluations. This chapter investigates the use of generative AI for creating and evaluating IT projects focused on network device configuration, specifically Cisco and MikroTik devices. The study assesses whether students can generate network configurations using AI to meet course requirements and evaluates the accuracy of AI in grading student projects or exams. The methodology includes comparing AI-generated configurations and AI-evaluated student work with those produced and assessed by teachers. The results show that, while AI can produce viable network configurations and assist in evaluations, discrepancies in grading accuracy and task complexity highlight the need for teacher oversight. This research contributes to understanding the potential and limitations of generative AI in educational settings, emphasising the need for a balanced integration of AI tools to enhance learning and exam processes.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Sztuczna inteligencja i automatyzacja procesów biznesowych
ISBN
978-83-7875-940-9
Number of pages of the result
12
Pages from-to
63-74
Number of pages of the book
343
Publisher name
Uniwersytet Ekonomiczny w Katowicach
Place of publication
Katovice
UT code for WoS chapter
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