TY - JOUR
T1 - Fostering Secondary School Students’ AI Literacy through Making AI-Driven Recycling Bins
AU - Ng, Davy Tsz Kit
AU - Su, Jiahong
AU - Chu, Samuel Kai Wah
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
PY - 2024/6
Y1 - 2024/6
N2 - Artificial intelligence (AI) education has gained popularity, and educators are developing activities to enhance students' AI literacy and promote collaboration in problem-solving. While current approaches using simulations and games can improve students' AI knowledge, they may not adequately prepare them for higher-level cognitive tasks. Only a few studies have explored the use of maker education to develop students' AI literacy. This case study employed a mixed-method approach and integrated AI into maker education to enhance students' motivation, career interest, confidence, collaboration, and AI literacy across low to high cognitive domains. The study involved 35 secondary school students in an AI maker program, where AI-driven recycling bins were employed as a project-based learning intervention. The results demonstrated a positive impact on students' motivation, AI literacy, and collaboration. The study provides design principles and an instructional design framework to assist future educators in creating meaningful maker-based learning experiences in AI education. It highlights the potential of using maker education to enhance students' AI literacy and offers guidance to educators on developing effective AI maker activities. The article also discusses theoretical contributions and practical implications for future research.
AB - Artificial intelligence (AI) education has gained popularity, and educators are developing activities to enhance students' AI literacy and promote collaboration in problem-solving. While current approaches using simulations and games can improve students' AI knowledge, they may not adequately prepare them for higher-level cognitive tasks. Only a few studies have explored the use of maker education to develop students' AI literacy. This case study employed a mixed-method approach and integrated AI into maker education to enhance students' motivation, career interest, confidence, collaboration, and AI literacy across low to high cognitive domains. The study involved 35 secondary school students in an AI maker program, where AI-driven recycling bins were employed as a project-based learning intervention. The results demonstrated a positive impact on students' motivation, AI literacy, and collaboration. The study provides design principles and an instructional design framework to assist future educators in creating meaningful maker-based learning experiences in AI education. It highlights the potential of using maker education to enhance students' AI literacy and offers guidance to educators on developing effective AI maker activities. The article also discusses theoretical contributions and practical implications for future research.
KW - AI education
KW - AI literacy
KW - Artifacts
KW - Maker education
UR - http://www.scopus.com/inward/record.url?scp=85171442637&partnerID=8YFLogxK
U2 - 10.1007/s10639-023-12183-9
DO - 10.1007/s10639-023-12183-9
M3 - Article
AN - SCOPUS:85171442637
SN - 1360-2357
VL - 29
SP - 9715
EP - 9746
JO - Education and Information Technologies
JF - Education and Information Technologies
IS - 8
ER -