Author(s)

Hua Xie ¹, Dan Wang ²

Affiliation(s)

¹ Faculty of Information Technology, Urban Vocational College of Sichuan, Chengdu, China
² Faculty of Educational Studies, Urban Vocational College of Sichuan, Chengdu, China

Corresponding Author

Hua Xie

ABSTRACT

The article explores the impact of digital transformation on the labor market, emphasizing the importance of human-AI collaborative abilities in the digital age. According to new trends in human-AI collaboration, metacognitive skills, human-AI communication abilities, and ethical responsibility will become the three core competencies. The article highlights that Project-Based Learning is an effective method for developing these capabilities. Project-Based Learning promotes self-reflection, effective communication, and ethical judgment skills in students through real-world contexts and inquiry-based learning. Furthermore, the article elaborates on incorporating metacognitive training into PjBL design to enhance students' learning outcomes and adaptability, equipping them for future work environments. By embedding these elements into educational practices, the article argues that students will be better prepared to navigate the complexities of working alongside AI in various professional settings.

KEYWORDS

Human-AI collaboration, Metacognition, Project-based learning, Instructional design, Education

CITE THIS PAPER

Hua Xie, Dan Wang, Metacognition Centered Project-Based Learning Design for Human-AI Collaborative Skills Training. Journal of Artificial Intelligence Practice (2024) Vol. 7: 102-106. DOI: http://dx.doi.org/10.23977/jaip.2024.070312.

REFERENCES

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[3] Siemon, D. (2022). Elaborating team roles for artificial intelligence-based teammates in human-AI collaboration. Group Decision and Negotiation, 31(5), 871-912.
[4] Lai, E. R. (2011). Metacognition: A literature review. Always learning: Pearson research report, 24, 1-40.
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[6] Sidra, S., & Mason, C. (2024, June). Reconceptualizing AI Literacy: The Importance of Metacognitive Thinking in an Artificial Intelligence (AI)-Enabled Workforce. In 2024 IEEE Conference on Artificial Intelligence (CAI) (pp. 1181-1186). IEEE. 
[7] Cabrera, Á. A., Perer, A., & Hong, J. I. (2023). Improving human-AI collaboration with descriptions of AI behavior. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1-21.
[8] Kokotsaki, D., Menzies, V., & Wiggins, A. (2016). Project-based learning: A review of the literature. Improving schools, 19(3), 267-277.

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