Arkansas State University is adopting Scaffold DataX in phases, starting with Banner and Canvas data for student success and financial reporting. In the second phase, the university is putting Canvas data into production for backup and continuity.
As John O’Brien prepares to retire, he joins Sarah Buszka and Alycia Baggett Chastang to reflect on eleven years of the Young Professionals Advisory Committee (YPAC) and its role in expanding leadership pathways and building a community for emerging higher education technology professionals.
Most campus chatbots stopped delivering because they lacked student context, institutional data, and the ability to take action. Three capabilities separate tools students love from legacy software they do not.
Artificial intelligence (AI) may be everywhere, but widespread adoption does not automatically create value. Resistance to AI is not a barrier to innovation in higher education. It is a necessary force for asking hard questions, protecting core values, and ensuring that technology adoption remains purposeful and mission-driven.
The potential sources of disruption to teaching and learning are expanding, as are the consequences, increasing the importance of being able to maintain high-quality academic activity during interruptions.
"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 measuring meaningful reductions in cybersecurity risk and the risks and ethical implications of government-authorized "hack back" programs.
Bringing together IT staff from distributed units raises the bar for cybersecurity across the institution.
This episode explores the value of in-person professional development and networking at the 2026 EDUCAUSE Annual Conference in Denver. Guests share tips for first-time attendees, highlight conference opportunities, discuss meaningful community connections, and offer practical advice for making the most of the event.
Artificial intelligence (AI) preparedness isn't about developing a new security program. It's about ensuring the one you have is robust enough to address the challenges associated with AI.
Artificial intelligence can make software. But not on its own. Give it a vision rooted in institutional knowledge, and the list of problems too expensive to solve gets a lot shorter.
