Papadopoulos Irena, Lazzarino Runa
School of Health and Education, Middlesex University, London, UK.
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Digit Health. 2024 Oct 29;10:20552076241271792. doi: 10.1177/20552076241271792. eCollection 2024 Jan-Dec.
Artificially intelligent socially assistive robots are a growing technology. There is no evidence-based, theory-informed, open access training targeting health and social care professionals on this advanced technology. This collaborative, international European project - the IENE 10 study - developed, delivered, and evaluated the first Massive Open Online Course on socially assistive robots.
A sequential mixed-method design with five phases: (1) literature review; (2) development of the Transcultural Robotic Nursing curriculum model from the care ethics principles of cultural competence and compassion; (3) development of modules, learning units, and assessments; (4) choice of the digital platform, e-facilitators' training, and definition of the evaluation strategy; (5) recruitment campaign. The methodology was collaborative among the six European partner institutions, who all contributed to each phase, from planning to the outputs. All project outputs and MOOC contents were translated into the four languages of the partners.
Training needs identified included: knowledge about social robots' functionality; how to operate them; legal, ethical, and human rights' issues. The course had four modules: Awareness, Knowledge, Sensitivity and Competence, with four learning units each. E-learners ( = 240) were mostly based in the project partners' countries and with no previous training on social robots. Graduated e-learners ( = 185) found their knowledge and skills enhanced, both in relation to social robots and cultural competence. The learning units and the overall quality of the course were rated between good and excellent.
The IENE 10 project pioneeringly addressed the training needs of health and social care professionals in the era of AI social robots. The collaborative and sequentially phased design proved useful in the integration of a care ethics model. This work reflects the holistic approach needed for preparing professionals for the complexities of contemporary healthcare.
人工智能社交辅助机器人是一项不断发展的技术。目前尚无针对健康和社会护理专业人员的基于证据、理论指导的开放式培训课程来介绍这项先进技术。这个欧洲合作国际项目——IENE 10研究——开发、提供并评估了第一门关于社交辅助机器人的大规模在线开放课程。
采用包含五个阶段的序贯混合方法设计:(1)文献综述;(2)从文化能力和同情心的护理伦理原则出发,开发跨文化机器人护理课程模型;(3)开发模块、学习单元和评估;(4)选择数字平台、对电子辅导员进行培训以及定义评估策略;(5)招募活动。该方法由六个欧洲合作伙伴机构共同协作,从规划到产出,各方都对每个阶段做出了贡献。所有项目产出和慕课内容都被翻译成了合作伙伴的四种语言。
确定的培训需求包括:关于社交机器人功能的知识;如何操作它们;法律、伦理和人权问题。该课程有四个模块:意识、知识、敏感度和能力,每个模块有四个学习单元。电子学习者(n = 240)大多来自项目合作伙伴所在国家,且之前没有接受过社交机器人方面的培训。毕业的电子学习者(n = 185)发现他们在社交机器人和文化能力方面的知识和技能都得到了提升。学习单元和课程的整体质量被评为良好到优秀之间。
IENE 10项目开创性地满足了人工智能社交机器人时代健康和社会护理专业人员的培训需求。这种协作式的分阶段设计被证明有助于整合护理伦理模型。这项工作反映了为专业人员应对当代医疗保健的复杂性所需要的整体方法。