What are the critical challenges in R&D of educational assessments that AI can help researchers, assessment developers, and education practitioners address?
What R&D is needed to employ AI toward responsive educational assessment?
How might AI increase the responsiveness of classroom and large-scale assessments? If so, how?
How can we best work with those developing innovative AI technology to ensure that these assessment needs are centered throughout all phases of product development?
Interweaving AI, Assessment, and Accountability in Responsive Education, an initiative led by Menlo Education Research with support from the Gates Foundation, is responding to these questions by gathering key interested parties across a series of critical in-person and virtual conversations focused on the opportunities afforded by technological advancement and innovation in assessment. The discoveries and insights from these conversations will be used to develop an R&D Agenda that frames issues, challenges, and opportunities in rethinking foundational issues of validity, as well as to provide support for new projects and initiatives within the field that address the R&D Agenda.
