Developing and Validating a Scale of Empowerment in Using Artificial Intelligence for Problem-Solving for Senior Secondary and University Students DOI Creative Commons
Siu Cheung Kong,

Jinyu Zhu,

Yongqiang Yang

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100359 - 100359

Опубликована: Дек. 1, 2024

Язык: Английский

A systematic review on how educators teach AI in K-12 education DOI
Xiaofan Liu, Baichang Zhong

Educational Research Review, Год журнала: 2024, Номер unknown, С. 100642 - 100642

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3

Using the Theoretical-Experiential Binomial for Educating AI-Literate Students DOI Open Access
Horia Alexandru Modran, Doru Ursuţiu, Cornel Samoilă

и другие.

Sustainability, Год журнала: 2024, Номер 16(10), С. 4068 - 4068

Опубликована: Май 13, 2024

In the dynamic landscape of modern education, characterized by an increasingly active involvement IT technologies in learning, imperative to transfer university students skills necessary integrate Artificial Intelligence (AI) into process represents important goal. This paper presents a novel framework for knowledge transfer, diverging from traditional programming language-centric approaches integrating PSoC 6 microcontroller technology. proposes cyclical learning cycle encompassing theoretical fundamentals and practical experimentation, fostering AI literacy at edge. Through structured combination instruction hands-on develop proficiency understanding harnessing capabilities. Emphasizing critical thinking, problem-solving, creativity, this approach equips with tools navigate complexities real-world applications effectively. By leveraging as educational tool, new generation individuals is efficiently cultivated essential skills. These are adept address societal challenges drive innovation, thereby contributing long-term sustainability initiatives. Specific strategies experiential curriculum recommendations, results application presented, aimed preparing excel future where will be omnipresent indispensable.

Язык: Английский

Процитировано

2

Using the Theoretical-experiential Binomial for Educating AI-Literate Students DOI Open Access
Horia Alexandru Modran, Doru Ursuţiu, Cornel Samoilă

и другие.

Опубликована: Фев. 29, 2024

In the dynamic landscape of modern education, characterized by an increasingly active involvement IT technologies in learning, imperative to transfer students skills necessary integrate Artificial Intelligence (AI) into process represents important goal. This paper presents a novel framework for knowledge transfer, diverging from traditional programming language-centric approaches integrating PSoC 6 microcontroller technology. establishes cyclical learning cycle encompassing theoretical fundamentals and practical experimentation, fostering AI literacy at edge. Through structured combination instruction hands-on develop proficiency understanding harnessing capabilities. Emphasizing critical thinking, problem-solving, creativity, this approach equips with tools navigate complexities real-world applications effectively. By leveraging as educational tool, new generation individuals is efficiently cultivated essential skills. These are adept address societal challenges drive innovation, thereby contributing long-term sustainability initiatives. Specific strategies experiential curriculum recommendations, results application presented, aimed preparing excel future where will be omnipresent indispensable.

Язык: Английский

Процитировано

1

Evaluating AI literacy of secondary students: Framework and scale development DOI
Baichang Zhong, Xiaofan Liu

Computers & Education, Год журнала: 2024, Номер unknown, С. 105230 - 105230

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Shaping user behavior in EFL education as an evaluation of artificial intelligence, computational thinking, and computational participations frameworks in digital humanities DOI

Muthmainnah Muthmainnah,

Ahmad Al Yakin,

Ahmad J. Obaid

и другие.

AIP conference proceedings, Год журнала: 2024, Номер 3207, С. 080003 - 080003

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Yapay Zekâ-Eğitim İlişkisine Bütüncül Bakış: Bir Bilim Haritalama Çalışması DOI Open Access
Salih Bardakçı

Uluslararası Türk Eğitim Bilimleri Dergisi, Год журнала: 2024, Номер unknown

Опубликована: Сен. 27, 2024

This study examines how the relationship between artificial intelligence (AI) and education in scientific literature is evolving around common key concepts. For this purpose, science mapping method was employed. Data were obtained from Web of Science Core Collection. The search terms included “artificial intelligence,” “education,” “instruction,” “teaching,” as well "OpenAI," "ChatGPT," "Chatbot." Bibliographic data 14,682 documents extracted, forming dataset for study. Analyses conducted using VOSviewer software tool, co-occurrence analyses performed on data. These produced both maps detailed outputs. With contribution these outputs, general emerging concepts map identified. results indicate that AI-education predominantly discussed context instructional methods rather than a technology or tool. In recent years, discourse has particularly enriched deepened related fields, learning environments/contexts, issues/skills to teaching learning, research. richness supports pedagogical integration, applicability, ethics perspectives. Additionally, it strengthens theoretical foundations by linking educational incorporating socio-psychological elements. However, there remains potential further development areas such impact dynamics human-AI collaboration

Язык: Английский

Процитировано

0

Developing and Validating a Scale of Empowerment in Using Artificial Intelligence for Problem-Solving for Senior Secondary and University Students DOI Creative Commons
Siu Cheung Kong,

Jinyu Zhu,

Yongqiang Yang

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100359 - 100359

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0