Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence

Jaana-Maija Koivisto, Sara Havola, Henna Mäkinen, Elina Haavisto

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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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 languageEnglish
Title of host publicationAI in Learning
Subtitle of host publicationDesigning the Future
EditorsHannele Niemi, Roy D. Pea, Yu Lu
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-031-09687-7
ISBN (Print)978-3-031-09686-0
Publication statusPublished - 2022
Publication typeA3 Book chapter

Publication forum classification

  • Publication forum level 2


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