Abstract
The COVID-19 pandemic has challenged healthcare professionals’ clinical reasoning, which can have serious consequences for patients. So far, the use of artificial intelligence (AI) in nursing education has been limited. Artificial intelligence (AI) is one solution for ensuring quality decision-making in demanding clinical situations in two ways. First, AI applications can support healthcare professionals’ clinical decisions. Second, AI techniques can be used to support learning clinical reasoning (CR) in healthcare education and training. This chapter focuses on the potential of exploiting AI through game metrics in nursing education. Previously, simulation games have proven effective for learning clinical reasoning skills. However, game metrics have not been commonly utilized in nursing simulation games, although research in other disciplines has shown that game metrics are suitable for demonstrating the achievement of learning outcomes. This chapter discusses the possibilities of using game metrics to develop adaptive features for nursing simulation games. Personalization and adaptivity in simulation games can enable meaningful learning experiences and enable nursing students to achieve good CR skills for their future work in constantly challenging clinical situations.
| Original language | English |
|---|---|
| Title of host publication | AI in Learning |
| Subtitle of host publication | Designing the Future |
| Editors | Hannele Niemi, Roy D. Pea, Yu Lu |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 159-173 |
| Number of pages | 15 |
| ISBN (Electronic) | 978-3-031-09687-7 |
| ISBN (Print) | 978-3-031-09686-0 |
| DOIs | |
| Publication status | Published - 2022 |
| Publication type | A3 Book chapter |
Publication forum classification
- Publication forum level 2
