Knowledge-Based Design Requirements for Generative Social Robots in Higher Education

Researchers published a new study on February 20, 2026, outlining knowledge-based design requirements for generative social robots in higher education, addressing critical gaps in existing educational technology frameworks that fail to specify the knowledge prerequisites needed for reliable AI behavior expression. The study focuses on generative social robots (GSRs) powered by large language models, which enable adaptive, conversational tutoring but introduce significant risks such as hallucinations, overreliance on technology, and potential privacy violations in academic settings. According to the researchers, current frameworks for educational technologies and responsible AI primarily define desired behaviors without adequately addressing the knowledge foundations necessary for these systems to perform consistently and safely. To bridge this important gap, the researchers have developed a comprehensive approach that establishes clear knowledge requirements that generative systems must possess to express educational behaviors reliably and responsibly.