Using Chatbots as AI Conversational Partners in Language Learning

Recent advances in Artificial Intelligence (AI) and machine learning have paved the way for increasing adoption of chatbots language learning. Research published to date has mostly focused on chatbot accuracy chatbot–human communication from students’ or in-service teachers’ perspectives. This study aims examine knowledge, level satisfaction perceptions concerning integration conversational AI among future educators. In this mixed method research based convenience sampling, 176 undergraduates two educational settings, Spain (n = 115) Poland 61), interacted autonomously with three agents (Replika, Kuki, Wysa) over a four-week period. A module about was specifically designed research, including an ad hoc model named Chatbot–Human Interaction Satisfaction Model (CHISM), which used by teacher candidates evaluate different linguistic technological features agents. Quantitative qualitative data were gathered through pre-post-survey CHISM TAM2 (technology acceptance) models template analysis (TA), analyzed IBM SPSS 22 QDA Miner software. The yielded positive results regarding learning, particularly relation perceived ease use (PeU) attitudes (AT), but scores behavioral intention (BI) more moderate. findings also unveiled some gender-related differences participants’ design topics interaction.