USING HARDWARE TO SUPPORT ARTIFICIAL INTELLIGENCE IN EDUCATION

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F24%3AA25037VC" target="_blank" >RIV/61988987:17310/24:A25037VC - isvavai.cz</a>

Výsledek na webu

<a href="https://library.iated.org/view/FOJTIK2024USI" target="_blank" >https://library.iated.org/view/FOJTIK2024USI</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21125/inted.2024.1170" target="_blank" >10.21125/inted.2024.1170</a>

Jazyk výsledku

angličtina

Název v původním jazyce

USING HARDWARE TO SUPPORT ARTIFICIAL INTELLIGENCE IN EDUCATION

Popis výsledku v původním jazyce

Machine learning and artificial intelligence are currently undergoing significant and dynamic development. AI applications are increasingly common in industry, agriculture, science, and everyday life. Users are using machine learning and AI tools in text processing applications, images, videos, language translation and many other areas of daily use. Education needs to respond to this dynamic development, not only in software but also in specialised hardware. Edge devices are increasingly being used to support artificial intelligence in addition to software tools. This paper shows the possibilities of using these devices in education, their capabilities, advantages, disadvantages and possible difficulties associated with using dedicated hardware for AI and machine learning in education. This paper presents the results of a case study in which computer science students were introduced to the Coral Board Micro, microcomputers and microcontrollers. Students were asked to explore the capabilities of this hardware using the exploratory method. Students independently commissioned the device, set it up and tried out practical examples of its use. The results of the study show that ICT skills are still needed. It was found that there is a need to master the Linux operating system to work with specific libraries and versions of particular software, as well as the Python programming language. Among the positive findings were the students' high motivation, interest in the subject and desire to learn. Feedback was also obtained through an unstructured interview. Students commented on learning with AI-supported hardware.

Název v anglickém jazyce

USING HARDWARE TO SUPPORT ARTIFICIAL INTELLIGENCE IN EDUCATION

Popis výsledku anglicky

Machine learning and artificial intelligence are currently undergoing significant and dynamic development. AI applications are increasingly common in industry, agriculture, science, and everyday life. Users are using machine learning and AI tools in text processing applications, images, videos, language translation and many other areas of daily use. Education needs to respond to this dynamic development, not only in software but also in specialised hardware. Edge devices are increasingly being used to support artificial intelligence in addition to software tools. This paper shows the possibilities of using these devices in education, their capabilities, advantages, disadvantages and possible difficulties associated with using dedicated hardware for AI and machine learning in education. This paper presents the results of a case study in which computer science students were introduced to the Coral Board Micro, microcomputers and microcontrollers. Students were asked to explore the capabilities of this hardware using the exploratory method. Students independently commissioned the device, set it up and tried out practical examples of its use. The results of the study show that ICT skills are still needed. It was found that there is a need to master the Linux operating system to work with specific libraries and versions of particular software, as well as the Python programming language. Among the positive findings were the students' high motivation, interest in the subject and desire to learn. Feedback was also obtained through an unstructured interview. Students commented on learning with AI-supported hardware.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

INTED Proceedings

ISBN

978-84-09-59215-9

ISSN

2340-1079

e-ISSN

—

Počet stran výsledku

6

Strana od-do

4519-4524

Název nakladatele

IATED

Místo vydání

Valencia

Místo konání akce

Valencia

Datum konání akce

4. 3. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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