Impacts of Anthropomorphizing Large Language Models in Learning Environments

Similarly to the factors of anthropomorphism summarized by [11], we identified the following factors as relevant when Large Language Models (LLMs) are increasingly being used LLM-based chatbots are used in learning scenarios: The learning in learning environments to support teaching--be it as learning agent, i.e., chatbot, the learner itself, and environmental companions or as tutors [1]-[3]. With our contribution, we factors which influence the learner (see Figure 1). According to the media equation [4], people tend to respond to media in the same way as they would respond to another person. A study conducted by the Georgia Institute of Technology showed that chatbots can be successfully implemented in learning environments. As LLM-based chatbots such as OpenAI's GPT Looking at the agent, several factors can contribute to series are increasingly used in educational tools, it is important anthropomorphization. Cognitive intelligence refers to the to understand how the attribution processes to LLM-based ability to perceive, reason, and act on problems; to combine chatbots in terms of anthropomorphization affect learners' efficient, useful, goal-oriented, and autonomous actions with emotions.