Facilitating students' critical thinking, metacognition and problem-solving tendencies in geriatric nursing class: A mixed-method study.
The aim of this study was to explore the use of generative artificial intelligence (GenAI) in geriatric nursing classes for the design of older adult activities to educate students on how to pose clear questions, provide and identify potentially suitable daily activities for older adults. Researcher...
| Publicado en: | Nurse Education in Practice Vol. 83 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183210193&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183210193 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14715953 NZT jtl: Nurse Education in Practice issn: 14715953 maglogo: N pubinfo: dt: Feb2025 vid: 83 pid: 82545 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 183210193 183210193 183210193 10.1016/j.nepr.2025.104266 183210193 ppct: 1 formats: tig: atl: Facilitating students' critical thinking, metacognition and problem-solving tendencies in geriatric nursing class: A mixed-method study. aug: au: Hwang, Gwo-Jen Cheng, Pei-Yu Chang, Ching-Yi affil: Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taipei, Taiwan sug: subj: Gerontologic Nursing Education Students, Nursing, Baccalaureate Critical Thinking Education Problem Solving Education Cognition Artificial Intelligence, Generative Utilization Activities of Daily Living In Old Age Nursing Assessment Education Human Multimethod Studies Aged Artificial Intelligence, Generative Evaluation Education, Nursing, Baccalaureate Learning Environment Experimental Studies Cues Student Knowledge Outcomes of Education Aged: 65+ years ab: The aim of this study was to explore the use of generative artificial intelligence (GenAI) in geriatric nursing classes for the design of older adult activities to educate students on how to pose clear questions, provide and identify potentially suitable daily activities for older adults. Researchers in various educational fields are increasingly employing GenAI tools such as ChatGPT for curriculum development and research. Question generation is an essential skill for all students to learn to acquire knowledge. However, there is limited experimental evidence on teaching students to correctly use GenAI for assisting with question generation ability and empirical data related to improving students' capacity for solving complex problems remains scarce. A mixed-method study design with both quantitative and qualitative analysis. This study investigated the effectiveness of a GenAI-guided prompt-based learning approach implemented in a geriatric nursing class for first-year undergraduate students, involving a cohort of 56 participants. Experimental results indicated that the GenAI-guided prompt-based learning approach significantly enhanced students' critical thinking, metacognition and problem-solving tendencies and their question generation via prompts performance. Moreover, participants who engaged in the GenAI-guided prompt-based learning approach found the tasks easier to complete and required less cognitive effort. Nursing students using the GenAI-guided prompt-based learning approach outperformed the control group in cognitive network analysis dimensions of clarity, relevance, complexity, precision and engagement. Thus, integrating GenAI prompts into course activities can effectively improve student learning outcomes, reduce metacognitive load and assist in solving learning problems. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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