As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the use of LLMs in asynchronous course creation, particularly within the context of adult learning, training and upskilling. We developed a course prototype leveraging an LLM, implementing a robust human-in-the-loop process to ensure the accuracy and clarity of the generated content. Our research questions focus on the feasibility of LLMs to produce high-quality adult learning content with reduced human involvement. Initial findings indicate that taking this approach can indeed facilitate faster content creation without compromising on accuracy or clarity, marking a promising advancement in the field of Generative AI for education. Despite some limitations, the study underscores the potential of LLMs to transform the landscape of learning and education, necessitating further research and nuanced discussions about their strategic and ethical use in learning design.

翻译：随着大规模语言模型（LLMs）及其他形式的生成式人工智能渗透到我们生活的各个方面，它们在学习和教育领域的应用既带来了机遇也带来了挑战。本文探究LLMs在异步课程创建中的应用，特别是在成人学习、培训与技能提升的背景下。我们利用LLM开发了一个课程原型，并实施了一个稳健的人机协同流程，以确保生成内容的准确性和清晰度。研究问题聚焦于LLMs在减少人工参与的情况下生成高质量成人学习内容的可行性。初步结果表明，采用这种方法确实能够在不影响准确性和清晰度的前提下加快内容创作速度，这标志着生成式人工智能在教育领域取得了令人瞩目的进展。尽管存在一些局限性，本研究强调了LLMs改变学习和教育格局的潜力，并需要在学习设计中对其战略及伦理应用进行进一步研究和细致讨论。