AI-assisted creation and evaluation of academic IT projects

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

AI-assisted creation and evaluation of academic IT projects

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

AI-assisted creation and evaluation of academic IT projects

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Sztuczna inteligencja i automatyzacja procesów biznesowych

ISBN

978-83-7875-940-9

Počet stran výsledku

12

Strana od-do

63-74

Počet stran knihy

343

Název nakladatele

Uniwersytet Ekonomiczny w Katowicach

Místo vydání

Katovice

Kód UT WoS kapitoly

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