Rapid innovations in AI and large language models (LLMs) have accelerated the adoption of digital learning, particularly beyond formal education. What began as an emergency response during COVID-19 has shifted from a supplementary resource to an essential pillar of education. Understanding how digital learning continues to evolve for adult and lifelong learners is therefore increasingly important. This study examines how various demographics interact with digital learning platforms, focusing on the learner motivations, the effectiveness of gamification in digital learning, and the integration of AI. Using multi survey data from 200 respondents and advanced analytics, our findings reveal a notable increase in the perceived relevance of digital learning after the pandemic, especially among young adults and women, coinciding with the rise of LLM-powered AI tools that support personalized learning. We aim to provide actionable insights for businesses, government policymakers, and educators seeking to optimize their digital learning offerings to meet evolving workforce needs.

翻译：人工智能与大语言模型（LLM）的快速创新加速了数字学习的普及，尤其是在正规教育体系之外。始于COVID-19疫情期间的应急举措，已从补充性资源转变为教育的重要支柱。因此，理解数字学习如何持续适应成人及终身学习者的需求变得日益重要。本研究考察了不同人口统计群体如何与数字学习平台互动，重点关注学习者的动机、游戏化在数字学习中的有效性以及人工智能的整合。通过分析200名受访者的多轮调查数据并运用高级分析技术，我们的研究结果显示，疫情后数字学习的感知相关性显著提升，尤其是在年轻成人和女性群体中，这与支持个性化学习的LLM驱动的人工智能工具的兴起相吻合。我们旨在为寻求优化其数字学习产品以满足不断变化的劳动力需求的企业、政府政策制定者和教育工作者提供可行的见解。