Department of Statistics, University of Bologna, 40126, Bologna, Italy.
Sci Rep. 2024 Mar 11;14(1):5927. doi: 10.1038/s41598-024-56284-y.
Today, teaching and learning paths increasingly intersect with technologies powered by emerging artificial intelligence (AI).This work analyses public opinions and sentiments about AI applications that affect e-learning, such as ChatGPT, virtual and augmented reality, microlearning, mobile learning, adaptive learning, and gamification. The way people perceive technologies fuelled by artificial intelligence can be tracked in real time in microblog messages promptly shared by Twitter users, who currently constitute a large and ever-increasing number of individuals. The observation period was from November 30, 2022, the date on which ChatGPT was launched, to March 31, 2023. A two-step sentiment analysis was performed on the collected English-language tweets to determine the overall sentiments and emotions. A latent Dirichlet allocation model was built to identify commonly discussed topics in tweets. The results show that the majority of opinions are positive. Among the eight emotions of the Syuzhet package, 'trust' and 'joy' are the most common positive emotions observed in the tweets, while 'fear' is the most common negative emotion. Among the most discussed topics with a negative outlook, two particular aspects of fear are identified: an 'apocalyptic-fear' that artificial intelligence could lead the end of humankind, and a fear for the 'future of artistic and intellectual jobs' as AI could not only destroy human art and creativity but also make the individual contributions of students and researchers not assessable. On the other hand, among the topics with a positive outlook, trust and hope in AI tools for improving efficiency in jobs and the educational world are identified. Overall, the results suggest that AI will play a significant role in the future of the world and education, but it is important to consider the potential ethical and social implications of this technology. By leveraging the positive aspects of AI while addressing these concerns, the education system can unlock the full potential of this emerging technology and provide a better learning experience for students.
如今，教学和学习路径越来越多地与新兴人工智能（AI）技术相交织。本研究分析了公众对影响电子学习的 AI 应用的意见和情绪，例如 ChatGPT、虚拟现实和增强现实、微学习、移动学习、自适应学习和游戏化。人们对人工智能驱动技术的看法可以通过 Twitter 用户即时分享的微博消息实时跟踪，目前 Twitter 用户构成了一个庞大且不断增加的人群。观察期从 2022 年 11 月 30 日 ChatGPT 发布之日到 2023 年 3 月 31 日。对收集到的英语推文进行了两步情感分析，以确定总体情绪和情感。建立了一个潜在狄利克雷分配模型来识别推文中常见的讨论话题。结果表明，大多数观点是积极的。在 Syuzhet 包的八种情绪中，“信任”和“喜悦”是观察到的推文最常见的积极情绪，而“恐惧”是最常见的消极情绪。在带有负面观点的最热门话题中，确定了两个特别令人恐惧的方面：一种是人工智能可能导致人类终结的“末日恐惧”，另一种是对“艺术和知识工作的未来”的恐惧，因为人工智能不仅可以破坏人类的艺术和创造力，还会使学生和研究人员的个人贡献变得不可评估。另一方面，在带有积极观点的话题中，确定了对提高工作和教育界效率的 AI 工具的信任和希望。总体而言，结果表明 AI 将在世界和教育的未来中发挥重要作用，但重要的是要考虑这项技术的潜在伦理和社会影响。通过利用 AI 的积极方面并解决这些问题，教育系统可以释放这项新兴技术的全部潜力，并为学生提供更好的学习体验。
