<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15(8)</volume><submitter>Olla P</submitter><pubmed_abstract>Background/Objectives: The integration of AI chatbots in nursing education, particularly in simulation-based learning, is advancing rapidly. However, there is a lack of structured evaluation models, especially to assess AI-generated simulations. This article introduces the AI-Integrated Method for Simulation (AIMS) evaluation framework, a dual-phase evaluation framework adapted from the FAITA model, designed to evaluate both prompt design and chatbot performance in the context of nursing education. Methods: This simulation-based study explored the application of an AI chatbot in an emergency planning course. The AIMS framework was developed and applied, consisting of six prompt-level domains (Phase 1) and eight performance criteria (Phase 2). These domains were selected based on current be</pubmed_abstract><journal>Nursing reports (Pavia, Italy)</journal><pagination>280</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12389130</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Beyond the Bot: A Dual-Phase Framework for Evaluating AI Chatbot Simulations in Nursing Education.</pubmed_title><pmcid>PMC12389130</pmcid><pubmed_authors>Wodwaski N</pubmed_authors><pubmed_authors>Long T</pubmed_authors><pubmed_authors>Olla P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Beyond the Bot: A Dual-Phase Framework for Evaluating AI Chatbot Simulations in Nursing Education.</name><description>Background/Objectives: The integration of AI chatbots in nursing education, particularly in simulation-based learning, is advancing rapidly. However, there is a lack of structured evaluation models, especially to assess AI-generated simulations. This article introduces the AI-Integrated Method for Simulation (AIMS) evaluation framework, a dual-phase evaluation framework adapted from the FAITA model, designed to evaluate both prompt design and chatbot performance in the context of nursing education. Methods: This simulation-based study explored the application of an AI chatbot in an emergency planning course. The AIMS framework was developed and applied, consisting of six prompt-level domains (Phase 1) and eight performance criteria (Phase 2). These domains were selected based on current be</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jul</publication><modification>2026-04-08T10:33:49.137Z</modification><creation>2026-04-08T01:29:12.594Z</creation></dates><accession>S-EPMC12389130</accession><cross_references><pubmed>40863667</pubmed><doi>10.3390/nursrep15080280</doi></cross_references></HashMap>