Robots are increasingly being studied for use in education. It is expected that robots will have the potential to facilitate children’s learning and function autonomously within real classrooms in the near future. Previous research has raised the importance of designing acceptable robots for different practices. In parallel, scholars have raised ethical concerns surrounding children interacting with robots. Drawing on a Responsible Research and Innovation perspective, our goal is to move away from research concerned with designing features that will render robots more socially acceptable by end users toward a reflective dialogue whose goal is to consider the key ethical issues and long-term consequences of implementing classroom robots for teachers and children in primary education. This paper presents the results from several focus groups conducted with teachers in three European countries. Through a thematic analysis, we provide a theoretical account of teachers’ perspectives on classroom robots pertaining to privacy, robot role, effects on children and responsibility. Implications for the field of educational robotics are discussed.

The neurodiversity movement seeks to positively reframe certain neurological conditions, such as autism spectrum disorders (ASD) and dyslexia, by concentrating on their strengths. In recent years, neurodiverse children have increasingly been involved in the technology design process, but the design approaches adopted have focused mostly on overcoming difficulties of working with these children, leaving their strengths untapped. We present a new participatory design (PD) framework, Diversity for Design (D4D), which provides guidance for technology designers working with neurodiverse children in establishing PD methods that capitalize on children's strengths and also support potential difficulties. We present two case studies of use of the D4D framework, involving children with ASD and dyslexia, showing how it informed the development and refinement of PD methods tailored to these populations. In addition, we show how to apply the D4D framework to other neurodiverse populations.