Educational chatbots primarily serve as teaching agents using predetermined conversational paths
In short: A systematic review of 36 research papers found that chatbots are increasingly being used in education to personalize learning and support teachers. The study identified that these tools are most commonly deployed on web platforms to teach subjects like computer science, languages, and mathematics.
The review found that over half of the chatbots act as teaching agents, while many others function as peer agents. While some offer personalized or collaborative learning, most still follow predetermined conversational paths. A limitation of current research is the reliance on insufficient training datasets and a lack of usability heuristics.
The study highlights that while experiments often show improved learning and student satisfaction, more research is needed on how chatbot personality and localization affect these outcomes.
Why it matters: Understanding how chatbots are designed helps identify the current boundaries and potential for AI in personalized education.
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Sources
- Source: Research: Kuhail et al. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies. · cc-by
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