New open access article published reporting a scoping review on artificial intelligence and complex problem-solving.
Joksimovic, S., Ifenthaler, D., De Laat, M., Siemens, G., & Marronne, R. (2023). Opportunities of artificial intelligence for supporting complex problem-solving: findings from a scoping review Computers & Education: Artificial Intelligence, 4, 100138. https://doi.org/10.1016/j.caeai.2023.100138
The research objective of this paper is to advance knowledge about the role of artificial intelligence (AI) in complex problem-solving. A problem is complex due to the large number of highly inter-connected variables affecting the problem state. Complex problem-solving situations often change decremental or worsen, forcing a problem solver to act immediately, under considerable time pressure. While research findings support the assumption that (1) affective, (2) (meta-)cognitive, and (3) social processes support complex problem-solving, opportunities of AI for supporting complex problem-solving need to be further investigated. This article presents a scoping review of relevant literature from the last five years. The study included, N = 38 studies for coding and analysis. Our findings show that in addition to the increased number of publications, the current trend suggests increased quality of published work. Human-AI collaboration in complex problem-solving has been explored across a broad variety of AI application domains. However, the four dimensions of complex problem – namely, cognitive, metacognitive, social and affective – have been augmented by AI to a different extent. Although most of the work has been done in the cognitive domain, it is ancouraging to see progress across social and affective dimensions as well. Implications for future research and practice are being discussed.