Benjamin Jennifer, Pillow Tyson, MacNeill Heather, Masters Ken, Agrawal Anoop, Mehta Neil
Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States.
Huffington Department of Education Innovation and Technology, Baylor College of Medicine, Houston, TX, United States.
J Med Internet Res. 2024 Dec 3;26:e53344. doi: 10.2196/53344.
The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of the authors compels us to reflect on current approaches to learning and knowledge acquisition and use solutions to the challenges posed by GenAI through social learning contexts using connectivism. We recognize the need for constructivism and experiential learning for knowledge acquisition to establish foundational understanding. We explore how connectivist approaches can enhance traditional constructivist paradigms amid rapidly changing learning environments and online communities. Learning in connectivism includes interacting with experts from other disciplines and creating nodes of accurate and accessible information while distinguishing between misinformation and accurate facts. Autonomy, connectedness, diversity, and openness are foundational for learners to thrive in this learning environment. Learning in this environment is not just acquiring new knowledge as individuals but being connected to networks of knowledge, enabling health professionals to stay current and up-to-date. Existing online communities with accessible GenAI solutions allow for the application of connectivist principles for learning and knowledge acquisition.
新冠疫情以及近期人们对生成式人工智能(GenAI)兴趣的增加,凸显了跨专业群体合作以寻找复杂问题解决方案的必要性。其中一位作者的个人经历促使我们反思当前的学习及知识获取方法,并通过使用连接主义的社会学习情境来应对GenAI带来的挑战。我们认识到,为了建立基础理解,知识获取需要建构主义和体验式学习。我们探讨在快速变化的学习环境和在线社区中,连接主义方法如何能增强传统的建构主义范式。连接主义学习包括与其他学科的专家互动,创建准确且易于获取的信息节点,同时区分错误信息和准确事实。自主性、连接性、多样性和开放性是学习者在这种学习环境中茁壮成长的基础。在这种环境中学习不仅仅是个人获取新知识,还在于与知识网络相连,使卫生专业人员能够紧跟潮流、与时俱进。现有的具备可获取的GenAI解决方案的在线社区,为连接主义学习和知识获取原则的应用提供了可能。