In this post Ben Williamson argues that the introduction of AI in schools is being accompanied with a redefinition of what counts as evidence of impact. "Specific kinds of design experiments such as AI prototype tests, implementation R&D, and evaluation measurements conducted by technology vendors themselves have been centred as authoritative evidence practices, challenging or replacing independent evaluation methodologies based on wider and multi-dimensional measures of educational impact." The sort of evidence he feels is being challenged or replaced is found in this paper (14 page PDF), published only last January, called the the Multiple EdTech Impact Index (MEII), which "includes fifteen indicators of impact... across five domains: efficacy, effectiveness, ethics, equity, and environment." I can understand the concern about what counts as evidence, but I wouldn't consider either set of indicators to be "authoritative", despite the positioning of one as such in this article.
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