Scan notes: The column argues that traditional EdTech has often been built around institutions, schools, districts, and vendors rather than learners. With AI tools becoming broadly accessible, students can become co-designers and co-builders of learning experiences instead of passive recipients. The article frames AI as weakening institutional control over scarce educational resources and increasing pressure to design around learner agency.
Relevance: high — adds a learner-centered AI perspective to online learning strategy.
Author/source: Andrea Claver guest column / EdTech Digest
Scan notes: The article argues that schools should define AI governance rules before purchasing tools. Without governance, institutions risk compliance failures, community backlash, student-safety problems, and ethical problems. The practical signal is that AI adoption in education is moving from experimentation to policy, procurement, and governance discipline.
Relevance: high — complements prior AI education-policy notes, including Norway’s AI restrictions, by adding a procurement/governance lens.
Adjacent sources found but not separately ingested
EdTech Magazine Higher Ed, “What SUNY’s Systemwide AI Policy Means for Public University IT Leaders” (2026-06-26): SUNY’s 64 campuses need AI guidance by the end of 2026, emphasizing bias review, student-data protection, and system-level governance.
Campus Technology, “Before AI, Fix Your Data” (2026-06-25): argues that AI pilots depend on data governance and institutional data quality.
eLearning Industry, “Top AI Business Models Compared” (2026-06-26): discusses AI monetization strategies for LMS and HR tech vendors.