Description
In today’s classrooms, learning demands and complexity are rising, student needs are intensifying, and teachers are asked to provide quality education based on evidence. Yet, a key effect of this reality is a dramatic, and increasingly rapid, attrition of teachers from the profession. Ultimately, this is creating a vicious circle, as learners’ needs increase, qualified teachers are leaving the classroom. This keynote advances a practical new paradigm: pedagogical AI agents embedded as co-teachers in everyday workflows. Rather than replacing teachers, these situated collaborators adapt evidence-informed strategies to local contexts, model lesson choreography (sequencing, orchestration, pacing, responsiveness), and scaffold professional growth (cf. Holmes & Littlejohn, 2024). We envision classrooms as sites of human–AI co-reasoning, where agents draw on contextual knowledge, learner data, curricula, institutional rules, teacher beliefs, and prior knowledge, to support decision-making and design choices. Our talk presents this paradigm, illustrates it with concrete scenarios and outlines a research agenda to make co-teaching with AI both rigorous and real.| Periode | 18 nov. 2025 |
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| Evenementstitel | Teacher Education in the AI Era |
| Evenementstype | Conference |
| Locatie | Hong Kong, ChinaToon op kaart |
| Mate van erkenning | International |