Educational chatbots come with a promise of interactive and personalized
learning experiences, yet their development has been limited by the restricted
free interaction capabilities of available platforms and the difficulty of
encoding knowledge in a suitable format. Recent advances in language learning
models with zero-shot learning capabilities, such as ChatGPT, suggest a new
possibility for developing educational chatbots using a prompt-based approach.
We present a case study with a simple system that enables mixed-turn chatbot
interactions and we discuss the insights and preliminary guidelines obtained
from initial tests. We examine ChatGPT's ability to pursue multiple
interconnected learning objectives, adapt the educational activity to users'
characteristics, such as culture, age, and level of education, and its ability
to use diverse educational strategies and conversational styles. Although the
results are encouraging, challenges are posed by the limited history maintained
for the conversation and the highly structured form of responses by ChatGPT, as
well as their variability, which can lead to an unexpected switch of the
chatbot's role from a teacher to a therapist. We provide some initial
guidelines to address these issues and to facilitate the development of
effective educational chatbots.

本研究基于 ChatGPT 模型实现了零 - shot 学习的教育聊天机器人，能够以多种不同的教育策略和对话风格进行个性化学习交互，此外还讨论了聊天历史记录和 ChatGPT 响应变异性带来的挑战，并提供了初步的解决方案以促进有效的教育聊天机器人的开发。