Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence...Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence for the implementation of advanced teaching models in future nursing education. Methods: Enrolled 60 nurses who took the IV infusion therapy training program in our hospital from January 2022 to December 2023 for research. 30 nurses who were trained in traditional teaching models from January to December 2022 were selected as the control group, and 30 nurses who were trained with simulation-based teaching models with methods including simulated patients, internet, online meetings which can be replayed and scenario simulation, etc. from January to December 2023 were selected as the experimental group. Evaluated the learning outcomes based on the Competency Inventory for Nursing Students (CINS), Problem-Solving Inventory (PSI), comprehensive learning ability, scientific research ability, and proficiency in the theoretical knowledge and practical skills of IV infusion therapy. Nursing quality, the incidence of IV infusion therapy complications and nurse satisfaction with different teaching models were also measured. Results: The scientific research ability, PSI scores, CINS scores, and comprehensive learning ability of the experimental group were better than those of the control group (P 0.05), and their assessment results of practical skills, nursing quality of IV infusion therapy during training, and satisfaction with teaching models were all better than those of the control group with statistical significance (P < 0.05). The incidence of IV infusion therapy complications in the experimental group was lower than that in the control group, indicating statistical significance (P < 0.05). Conclusions: Teaching models based on patient simulators combined with Internet Plus scenario simulation enable nursing students to learn more directly and practice at any time and in any place, and can improve their proficiency in IV infusion theoretical knowledge and skills (e.g. PICC catheterization), core competencies, problem-solving ability, comprehensive learning ability, scientific research ability and the ability to deal with complicated cases. Also, it helps provide high-quality nursing education, improve the nursing quality of IV therapy, reduce the incidence of related complications, and ensure the safety of patients with IV therapy.展开更多
本研究探讨以大语言模型(large language models,LLMs)为代表的生成式人工智能在外语专业教学中的应用。研究以《大学思辨英语教程·精读》教学为例,考察生成式人工智能的普及应用对教学内容和教学模式产生的影响;研究还通过典型案...本研究探讨以大语言模型(large language models,LLMs)为代表的生成式人工智能在外语专业教学中的应用。研究以《大学思辨英语教程·精读》教学为例,考察生成式人工智能的普及应用对教学内容和教学模式产生的影响;研究还通过典型案例,展示LLMs在教学中的应用场景,探讨其潜在应用价值。研究认为,大语言模型作为教师和学生之外的智能实体参与外语教学,正潜在地改变着教育格局。外语教育需要与时俱进,建构多种智能技术支持的新型教育框架。展开更多
目的探讨SEGUE[准备(set the stage,S),信息收集(elicitinformation,E),信息给予(giveinformation,G),理解患者(understandthepatient's/family’sperspective,U),结束问诊(end the encounter,E)]框架情景式案例分析教学法在精神科...目的探讨SEGUE[准备(set the stage,S),信息收集(elicitinformation,E),信息给予(giveinformation,G),理解患者(understandthepatient's/family’sperspective,U),结束问诊(end the encounter,E)]框架情景式案例分析教学法在精神科见习生中的应用效果。方法选取2019年9月—2020年12月在中山大学附属第三医院精神科见习的2016级和2017级5年制临床医学专业医学生为研究对象,共204名,将其随机分为试验组、对照组,各102名。试验组采取SEGUE框架下的情景式案例分析教学法,对照组采取传统的教学方法。2组在课程开始前和见习结束时均采用中文版医患沟通技能评价量表(SEGUE量表)对精神科见习生医患沟通能力进行评分。结果干预前,2组SEGUE量表各维度得分比较,差异无统计学意义(P>0.05)。干预后,2组准备、信息收集、信息给予、理解患者、总分以及人文关怀评分均高于干预前,试验组高于对照组,差异有统计学意义(P<0.001)。结论SEGUE框架下情景式案例分析教学法能很好地提高精神科见习生的医患沟通能力,尤其是共情能力和人文关怀能力,可以作为精神科见习医生的医患沟通教学方法的参考方案。展开更多
文摘Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence for the implementation of advanced teaching models in future nursing education. Methods: Enrolled 60 nurses who took the IV infusion therapy training program in our hospital from January 2022 to December 2023 for research. 30 nurses who were trained in traditional teaching models from January to December 2022 were selected as the control group, and 30 nurses who were trained with simulation-based teaching models with methods including simulated patients, internet, online meetings which can be replayed and scenario simulation, etc. from January to December 2023 were selected as the experimental group. Evaluated the learning outcomes based on the Competency Inventory for Nursing Students (CINS), Problem-Solving Inventory (PSI), comprehensive learning ability, scientific research ability, and proficiency in the theoretical knowledge and practical skills of IV infusion therapy. Nursing quality, the incidence of IV infusion therapy complications and nurse satisfaction with different teaching models were also measured. Results: The scientific research ability, PSI scores, CINS scores, and comprehensive learning ability of the experimental group were better than those of the control group (P 0.05), and their assessment results of practical skills, nursing quality of IV infusion therapy during training, and satisfaction with teaching models were all better than those of the control group with statistical significance (P < 0.05). The incidence of IV infusion therapy complications in the experimental group was lower than that in the control group, indicating statistical significance (P < 0.05). Conclusions: Teaching models based on patient simulators combined with Internet Plus scenario simulation enable nursing students to learn more directly and practice at any time and in any place, and can improve their proficiency in IV infusion theoretical knowledge and skills (e.g. PICC catheterization), core competencies, problem-solving ability, comprehensive learning ability, scientific research ability and the ability to deal with complicated cases. Also, it helps provide high-quality nursing education, improve the nursing quality of IV therapy, reduce the incidence of related complications, and ensure the safety of patients with IV therapy.
文摘本研究探讨以大语言模型(large language models,LLMs)为代表的生成式人工智能在外语专业教学中的应用。研究以《大学思辨英语教程·精读》教学为例,考察生成式人工智能的普及应用对教学内容和教学模式产生的影响;研究还通过典型案例,展示LLMs在教学中的应用场景,探讨其潜在应用价值。研究认为,大语言模型作为教师和学生之外的智能实体参与外语教学,正潜在地改变着教育格局。外语教育需要与时俱进,建构多种智能技术支持的新型教育框架。
文摘目的探讨SEGUE[准备(set the stage,S),信息收集(elicitinformation,E),信息给予(giveinformation,G),理解患者(understandthepatient's/family’sperspective,U),结束问诊(end the encounter,E)]框架情景式案例分析教学法在精神科见习生中的应用效果。方法选取2019年9月—2020年12月在中山大学附属第三医院精神科见习的2016级和2017级5年制临床医学专业医学生为研究对象,共204名,将其随机分为试验组、对照组,各102名。试验组采取SEGUE框架下的情景式案例分析教学法,对照组采取传统的教学方法。2组在课程开始前和见习结束时均采用中文版医患沟通技能评价量表(SEGUE量表)对精神科见习生医患沟通能力进行评分。结果干预前,2组SEGUE量表各维度得分比较,差异无统计学意义(P>0.05)。干预后,2组准备、信息收集、信息给予、理解患者、总分以及人文关怀评分均高于干预前,试验组高于对照组,差异有统计学意义(P<0.001)。结论SEGUE框架下情景式案例分析教学法能很好地提高精神科见习生的医患沟通能力,尤其是共情能力和人文关怀能力,可以作为精神科见习医生的医患沟通教学方法的参考方案。
