When Generative AI Meets Workplace Learning: Creating A Realistic & Motivating Learning Experience With A Generative PCA

التفاصيل البيبلوغرافية
العنوان: When Generative AI Meets Workplace Learning: Creating A Realistic & Motivating Learning Experience With A Generative PCA
المؤلفون: Bucher, Andreas, Schenk, Birgit, Dolata, Mateusz, Schwabe, Gerhard
المصدر: ECIS 2024
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
الوصف: Workplace learning is used to train employees systematically, e.g., via e-learning or in 1:1 training. However, this is often deemed ineffective and costly. Whereas pure e-learning lacks the possibility of conversational exercise and personal contact, 1:1 training with human instructors involves a high level of personnel and organizational costs. Hence, pedagogical conversational agents (PCAs), based on generative AI, seem to compensate for the disadvantages of both forms. Following Action Design Research, this paper describes an organizational communication training with a Generative PCA (GenPCA). The evaluation shows promising results: the agent was perceived positively among employees and contributed to an improvement in self-determined learning. However, the integration of such agent comes not without limitations. We conclude with suggestions concerning the didactical methods, which are supported by a GenPCA, and possible improvements of such an agent for workplace learning.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.15561
رقم الأكسشن: edsarx.2405.15561
قاعدة البيانات: arXiv