Artificial Intelligence (AI) literacy has emerged as a critical competency for the youth within the rapidly evolving digital environment. However, there is a lack of comprehensive frameworks to guide the development of AI literacy among young learners. This study addresses this gap by developing a conceptual framework for creating learning ecosystems that support AI literacy among youth. The aims of the research were to: (1) conduct a literature review on concepts and theories for fostering AI literacy, (2) develop a theoretical conceptual framework, (3) analyze the role of various components within learning ecosystems, and (4) evaluate the framework through expert review. A qualitative research design was employed, including a systematic literature review of studies from 2013-2023 and an expert evaluation involving 10 professionals in AI education, curriculum design, and digital literacy. The study identified six key thematic areas crucial for AI literacy: cognitive development, technological proficiency, ethical understanding, social implications, critical thinking, and computational thinking. The resulting framework integrates these themes into four main components: 1) foundation of AI literacy, 2) ethical and critical dimensions, 3) social and collaborative learning, and 4) technical proficiency. Expert evaluation confirmed the framework's theoretical validity, practical relevance, and potential impact. This study contributes a novel, comprehensive approach to AI literacy education, emphasizing the interplay between individual learning processes and broader social, technological, and ethical contexts. The framework's adaptability across various educational settings offers a significant advancement in preparing youth for an AI-driven future.

Authors:
Paritchaya Sarakan, Khon Kaen University, Thailand
Parama Kwangmuang, Khon Kaen University, Thailand
Anucha Somabut, Khon Kaen University, Thailand
Lan Thi Nguyen, Khon Kaen University, Thailand

About the Presenter(s)
Paritchaya Sarakan is now a Ph.D student in Innovation, Technology and Learning Science, Khon Kaen University. Her research interest are digital learning innovation, AI, learning ecosystem.

See this presentation on the full schedule – Thursday Schedule

Bookmark

---

A Note to Presenters

To enhance academic profiles and showcase research, we encourage all presenters and co-presenters to include links to their public LinkedIn, ResearchGate profile, and research websites. Presenters may update their bio for their presentation by completing the form linked below by October 22, 2024.
- Presenter Information Update Form
Submitted changes will be reflected on November 01, 2024

Additionally, presenters should also update their IAFOR account details if there have been any changes to affiliations or biographies.
- https://submit.iafor.org/my-account/edit-account