The use of generative AI in STEM education to develop scientific literacy and critical thinking

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14410%2F25%3A00142851" target="_blank" >RIV/00216224:14410/25:00142851 - isvavai.cz</a>

Výsledek na webu

<a href="https://iopscience.iop.org/article/10.1088/1742-6596/3155/1/012006" target="_blank" >https://iopscience.iop.org/article/10.1088/1742-6596/3155/1/012006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/3155/1/012006" target="_blank" >10.1088/1742-6596/3155/1/012006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The use of generative AI in STEM education to develop scientific literacy and critical thinking

Popis výsledku v původním jazyce

The article discusses the possibilities of using generative artificial intelligence in STEM education with the aim of developing students’ scientific literacy and critical thinking. It is based on the principles of the revised Bloom’s taxonomy, which serves as a tool for formulating educational goals, planning activities and evaluating learning outcomes. It focuses on how teachers can effectively use AI to create learning tasks of varying cognitive difficulty, from memorising facts to creative problem solving. The paper presents generated learning tasks from ChatGPT based on two different system prompts, one for generating learning tasks according to D. Tollingerová’s taxonomy and the other for generating learning tasks according to B. Niemierko’s taxonomy. The generated tasks are evaluated according to three criteria (support of creativity and innovation, development of argumentation and defence of opinions, involvement of digital and modern technologies) and from the point of view of applicability in educational practice. The analysis shows differences in the quality of responses, highlights the limitations of current AI tools, and emphasises the need for human supervision when using them in education.

Název v anglickém jazyce

The use of generative AI in STEM education to develop scientific literacy and critical thinking

Popis výsledku anglicky

The article discusses the possibilities of using generative artificial intelligence in STEM education with the aim of developing students’ scientific literacy and critical thinking. It is based on the principles of the revised Bloom’s taxonomy, which serves as a tool for formulating educational goals, planning activities and evaluating learning outcomes. It focuses on how teachers can effectively use AI to create learning tasks of varying cognitive difficulty, from memorising facts to creative problem solving. The paper presents generated learning tasks from ChatGPT based on two different system prompts, one for generating learning tasks according to D. Tollingerová’s taxonomy and the other for generating learning tasks according to B. Niemierko’s taxonomy. The generated tasks are evaluated according to three criteria (support of creativity and innovation, development of argumentation and defence of opinions, involvement of digital and modern technologies) and from the point of view of applicability in educational practice. The analysis shows differences in the quality of responses, highlights the limitations of current AI tools, and emphasises the need for human supervision when using them in education.

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

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 statě ve sborníku

Journal of Physics: Conference Series. 24th Meeting of DIDFYZ

ISBN

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ISSN

1742-6588

e-ISSN

1742-6596

Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

Institute of Physics

Místo vydání

United Kingdom

Místo konání akce

Terchova, Slovakia

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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