Raising the Bar: Building Quality, Trust, and Learning Science into AI Education Tools

The panel discussion will confront education's overcrowded "junk drawer" of AI tools—examining why the sector is flooded with shallow applications that promise transformation but fail to earn the trust of teachers and students who must use them daily. Panelists will explore how thoughtful design, transparency, and alignment with learning science can distinguish genuinely transformative tools from those that merely automate existing practices or add to classroom clutter. The conversation will challenge the edtech sector to prioritize pedagogical integrity and user agency over rapid deployment, setting a higher standard for what belongs in educators' and students' essential toolkit.