New ADA Title II accessibility rules are pushing colleges and universities to rethink access, vendor accountability, and campus culture. This conversation offers practical guidance for reducing compliance risk while creating usable, welcoming systems for all stakeholders.
The SAMR + AI Matrix is a structured learning design tool that aligns the SAMR Model with Bloom's Taxonomy, mapping levels of technological use to cognitive demand to guide instructors in determining how artificial intelligence (AI) could impact student work. This matrix is operationalized through a five-step framework that helps instructors deliberately design for the presence of AI in learning experiences.
Campus connectivity is shaping institutional outcomes. Why aren't higher education technology leaders planning it that way?
Generative artificial intelligence is pushing teaching and learning away from a model centered on producing answers and academic artifacts and toward one that places greater weight on process, judgment, reflection, and applied thinking. In conversations with campus leaders, three priorities emerged.
"Hotline: Cybersecurity and Privacy" tackles the philosophical, moral, strategic, and organizational quandaries related to higher education cybersecurity, privacy, and data. This month, Mike answers your questions about artificial intelligence–enabled cheating, risk tradeoffs, and audit fatigue.
The White House has proposed a national artificial intelligence framework that seeks to establish a uniform federal standard, prioritizing the preemption of state regulations while focusing on child safety, energy cost protections, and American technological competitiveness.
Sophie and Jenay are joined by Kathe Pelletier and Silvina Padilla to discuss potential futures of higher education and technology. They share insights from discussions facilitated by The 100 Year EdTech Project that consider what higher education, and the world, could look like in fifty years and the actions we can take now to build our preferred future.
It's time to reset expectations for your SIS—not in terms of what it records but what it enables for students, faculty, and staff.
Listening to faculty concerns about generative AI can help institutions respond with more clarity, precision, and trust.
Dan Cohen provides brief context for the upcoming Coalition for Networked Information Spring Meeting, touching on its broad themes, including ongoing conversations about artificial intelligence, and reflecting on the value of bringing together leaders from the research, library, and academic communities.
