Chapter 7: Research and Development Further, intensifying focus on context in this work will change the nature of the R&D. There won’t be just one type of change in R&D because context has multiple meanings. Attendees in our listening sessions described four types of context necessary for the future. We list these four types of context below and then expand on each one in its own section. These four types emerged as topics of provocations to think differently about R&D but certainly do not exhaust the important ways of investigating context. 1. Focus on the Long Tail: How could we use big data and AI to pay more attention to the “long tail” of edtech use— going beyond a few “most typical” ways of using emerging technology and instead solving for digital equity and inclusion? 2. Partnership in Design-Based Research: How can we change who is involved and influential in designing the future of AI in education to more centrally include students, teachers, and other educational constituents? 3. Connect with Public Policy: How can work on AI in education build on general advances in AI ethics, safety, and regulation and contribute additional advances specific to educational policy? 74 | P a g e
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