Educator and AI agent communication in AI-mediated higher education classrooms: a mini review along the complementarity-substitution axis

The integration of generative artificial intelligence (AI) into higher education is prompting a re-evaluation of communication dynamics between educators and students. A mini-review of 32 peer-reviewed studies published post-2023 indicates that educator communication behaviors, specifically instructional communication constructs like immediacy, rapport, clarity, and credibility, remain significant predictors of student outcomes even in AI-mediated classroom environments.

The findings underscore the persistent criticality of human-led instructional communication in educational environments undergoing significant technological transformation. This indicates that AI integration does not diminish the need for effective interpersonal communication but rather emphasizes its complementary role in fostering positive student outcomes. Strategically, this means institutions must continue to invest in developing and supporting educators' communication skills.

Educator communication behaviors, encompassing immediacy, rapport, clarity, and credibility, continue to predict student outcomes in AI-mediated higher education settings.

Forward consideration, not a verified fact.