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Educational chatbots come with a promise of interactive and personalizedlearning experiences, yet their development has been limited by the restrictedfree interaction capabilities of available platforms and the difficulty ofencoding knowledge in a suitable format. Recent advances in language learningmodels with zero-shot learning capabilities, such as ChatGPT, suggest a newpossibility for developing educational chatbots using a prompt-based approach.We present a case study with a simple system that enables mixed-turn chatbotinteractions and discuss the insights and preliminary guidelines obtained frominitial tests. We examine ChatGPT's ability to pursue multiple interconnectedlearning objectives, adapt the educational activity to users' characteristics,such as culture, age, and level of education, and its ability to use diverseeducational strategies and conversational styles. Although the results areencouraging, challenges are posed by the limited history maintained for theconversation and the highly structured form of responses by ChatGPT, as well astheir variability, which can lead to an unexpected switch of the chatbot's rolefrom a teacher to a therapist. We provide some initial guidelines to addressthese issues and to facilitate the development of effective educationalchatbots.

Developing Effective Educational Chatbots with ChatGPT prompts: Insights  from Preliminary Tests in a Case Study on Social Media Literacy (with  appendix)