AI as Teaching Assistant : An Innovative Approach to Education Through Customized Model Answer Generation and Guided
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F24%3A00138539" target="_blank" >RIV/00216224:14210/24:00138539 - isvavai.cz</a>
Výsledek na webu
<a href="https://pressto.amu.edu.pl/index.php/se/article/view/46409/38071" target="_blank" >https://pressto.amu.edu.pl/index.php/se/article/view/46409/38071</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
AI as Teaching Assistant : An Innovative Approach to Education Through Customized Model Answer Generation and Guided
Popis výsledku v původním jazyce
Artificial Intelligence (AI) is rapidly becoming an integral tool in modern education, offering opportunities to personalize learning, optimize teaching strategies, and enhance critical thinking skills. This paper explores the role of AI as a teaching assistant, focusing on the project “Generating Customized Model Answers as Revision Guides Using AI” conducted within the 17th ASEF Classroom Network School Collaboration. The study analyzes the impact of AI-generated model answers on student preparation for exams, highlighting improvements in student performance, particularly in tasks requiring analysis and synthesis of information. Through personalized feedback, adaptive content delivery, and interactive simulations, AI fosters deeper analytical engagement and prepares students for real-world challenges. Despite its transformative potential, the study emphasizes the importance of complementing AI with traditional teaching methods to fully develop students’ skills. Additionally, the ethical considerations of aligning AI systems with human values remain critical to ensuring their positive societal impact. This research underscores AI’s pivotal role in the future of education while advocating for its responsible implementation.
Název v anglickém jazyce
AI as Teaching Assistant : An Innovative Approach to Education Through Customized Model Answer Generation and Guided
Popis výsledku anglicky
Artificial Intelligence (AI) is rapidly becoming an integral tool in modern education, offering opportunities to personalize learning, optimize teaching strategies, and enhance critical thinking skills. This paper explores the role of AI as a teaching assistant, focusing on the project “Generating Customized Model Answers as Revision Guides Using AI” conducted within the 17th ASEF Classroom Network School Collaboration. The study analyzes the impact of AI-generated model answers on student preparation for exams, highlighting improvements in student performance, particularly in tasks requiring analysis and synthesis of information. Through personalized feedback, adaptive content delivery, and interactive simulations, AI fosters deeper analytical engagement and prepares students for real-world challenges. Despite its transformative potential, the study emphasizes the importance of complementing AI with traditional teaching methods to fully develop students’ skills. Additionally, the ethical considerations of aligning AI systems with human values remain critical to ensuring their positive societal impact. This research underscores AI’s pivotal role in the future of education while advocating for its responsible implementation.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
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OECD FORD obor
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Studia edukacyjne
ISSN
1233-6688
e-ISSN
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Svazek periodika
74
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
13
Strana od-do
67-79
Kód UT WoS článku
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EID výsledku v databázi Scopus
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