TY - GEN
T1 - Integrating AI with Robotics in K-12 Education for Programming Learning
T2 - 14th International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2025
AU - Choi, Iek Chong
AU - Choi, Wan Chong
AU - Huang, Biyun
AU - Pang, Patrick Cheong Iao
AU - Mendes, António José
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Artificial Intelligence (AI) is increasingly recognized as a critical educational tool for K-12 students worldwide. This systematic literature review focuses on research from the past five years, examining how AI is integrated with robotics to enhance programming learning in K-12 settings. From an initial pool of 1,696 studies, 11 papers were selected for in-depth analysis. While using AI to promote programming skills holds great potential, it also raises important ethical considerations. The review highlights current trends, pedagogical strategies, and practical applications that enhance learning in the fields of AI and programming. It also provides detailed insights into the hardware platforms, software tools, and instructional methods employed across studies. The findings reveal that various hardware platforms have been employed in diverse educational settings, with a particular focus on secondary education, specifically in the use of AI for more complex cognitive activities. Nonetheless, a growing trend is emerging in studies at the primary education level. Future research should focus on developing pedagogical frameworks that enable educators to effectively introduce AI concepts to younger learners of programming.
AB - Artificial Intelligence (AI) is increasingly recognized as a critical educational tool for K-12 students worldwide. This systematic literature review focuses on research from the past five years, examining how AI is integrated with robotics to enhance programming learning in K-12 settings. From an initial pool of 1,696 studies, 11 papers were selected for in-depth analysis. While using AI to promote programming skills holds great potential, it also raises important ethical considerations. The review highlights current trends, pedagogical strategies, and practical applications that enhance learning in the fields of AI and programming. It also provides detailed insights into the hardware platforms, software tools, and instructional methods employed across studies. The findings reveal that various hardware platforms have been employed in diverse educational settings, with a particular focus on secondary education, specifically in the use of AI for more complex cognitive activities. Nonetheless, a growing trend is emerging in studies at the primary education level. Future research should focus on developing pedagogical frameworks that enable educators to effectively introduce AI concepts to younger learners of programming.
KW - Artificial Intelligence
KW - K-12 Education
KW - Programming Learning
KW - Robotics
UR - https://www.scopus.com/pages/publications/105033213247
U2 - 10.1109/TALE66047.2025.11346780
DO - 10.1109/TALE66047.2025.11346780
M3 - Conference contribution
AN - SCOPUS:105033213247
T3 - TALE 2025 - 2025 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, Proceedings
BT - TALE 2025 - 2025 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2025 through 7 December 2025
ER -