A Competency-Based Curriculum for Fostering Artificial Intelligence Skills in Thai Children and Youth
Year: 2024
Type: article
Abstract: This study introduces a carefully constructed curriculum based on competencies, with the objective of fostering artificial intelligence skills in children and young individuals. It addresses the pressing requirement for a complete AI education throughout different educational stages. The curriculum has been carefully structured into three unique tiers, namely Basic, Intermediate, and Advanced, in order to accommodate the varied educational backgrounds and developmental stages of learners. A comprehensive training package was created, encompassing a diverse range of educational materials such as video lectures, motion graphics, quizzes, and other resources, which were disseminated through an online assessment platform. The training approach aligns with the UNESCO competence curriculum development model, which encompasses the essential components of knowledge, abilities, and attitudes pertaining to artificial intelligence. Following this, the curriculum was put into effect, and further evaluation endeavors showed noteworthy accomplishments. The initiative provided benefits to a total of 2,700 pupils and 184 newly appointed instructors, constantly surpassing the established pass requirements. Moreover, the engagement of children and young people from 23 schools in an innovation contest, resulting in the receipt of 76 ideas, highlights the broad popularity of the curriculum. The results highlight the significant influence of the curriculum in fostering knowledge and skills related to Artificial Intelligence (AI) among children and young individuals. This curriculum plays a crucial role in reducing the educational disparity in this rapidly evolving domain and equipping the upcoming generation with the necessary ability to succeed in a society heavily influenced by AI.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4404006148
