Filtered by category: Ed Tech Magazine × Clear
5 Lessons for Building Institutional AI Capacity in Resource Constrained Settings
Matched: Artificial Intelligence
Cochise College in rural Arizona is using a $1.87 million federal grant called AI-Powered Success to build AI literacy across its institution and surrounding region. The four-year initiative supports faculty professional development, staff capacity-building, K–12 and industry partnerships, and workforce microcredentials with stackable badges linked to college credit, offering lessons for resource-constrained institutions navigating generative AI pressures.
AI Task Forces Drive Policy, Adoption and Innovation in Higher Ed
Matched: Artificial Intelligence
Colleges are forming cross-functional AI task forces to address challenges outpacing governance, including shadow AI use by departments operating outside IT oversight, equity gaps between students with access to premium versus free AI tools, and faculty struggles to uphold academic integrity without becoming full-time AI-detection enforcers.
When Student Laptops Fall Behind, Campus IT Can Close the Gap
Matched: Artificial Intelligence
Many college students struggle with laptops that can't meet growing academic demands. An NVIDIA survey of 1,000 U.S. undergraduates found 61% report more demanding coursework, 64% run multiple demanding applications daily, and 77% say their major influences their laptop choice. As AI-assisted work becomes standard, campus IT departments face pressure to help bridge the gap when personal devices fall short.
Universities Lean on Existing Investments to Launch AI Tools
Matched: Artificial Intelligence
Several universities are rolling out AI tools by leveraging existing vendor relationships rather than building new infrastructure. Schools like Case Western Reserve are offering students and staff access to tools like Google's Gemini through existing institutional accounts, lowering costs and implementation barriers while expanding access to AI writing, learning, and image-generation capabilities across campuses.
Higher Ed Cybersecurity Adapts to Growing AI Threats
Matched: Artificial Intelligence
Higher education institutions face growing cybersecurity threats as AI enables more sophisticated attacks with less effort. Universities are particularly vulnerable due to decentralized IT structures, sprawling networks, and sensitive student and research data. While bad actors exploit AI to scale attacks, IT teams are also adopting AI-powered tools to defend against them, forcing campuses to rethink traditional security models.
Higher Ed’s Path to Advanced Cybersecurity Maturity
Matched: AI
Higher education IT leaders are urged to move beyond reactive cybersecurity toward structured maturity, using frameworks like NIST's Cybersecurity Framework and FINRA guidance adapted for colleges and universities. Key priorities include zero-trust implementation, scalable and resilient systems, and audit readiness — balancing stronger security with the agility and cost-efficiency that academic institutions require.
Finding the Right Disaster Recovery Strategy for Higher Ed
Matched: AI
Higher education institutions are prioritizing disaster recovery as cyberattacks and unplanned downtime threaten operations. Immutable backups are now considered essential, not optional. However, cost concerns and limited IT staff capacity remain barriers. A Veeam survey found 92% of IT professionals want backup solutions better tailored to their needs, highlighting a gap between the importance institutions place on disaster recovery and their ability to implement effective strategies.
How Colleges Are Using Technology To Attract Students on Campus Visits
Matched: AI
Colleges are increasingly using technology to impress prospective students during campus visits, which 86% of enrollment leaders say are the defining factor in securing enrollment. When IT and admissions teams collaborate, institutions can showcase their technical capabilities as a recruitment tool. Smaller schools rely on campus visits most heavily, making these first impressions especially critical to their enrollment strategies.
Why the Right Infrastructure for Higher Ed AI Workloads Might Be Hybrid
Matched: AI, Artificial Intelligence
Higher education institutions are increasingly adopting hybrid infrastructure to run AI workloads, balancing on-premises and cloud environments. IDC predicts 75% of enterprise AI workloads will run on hybrid infrastructure by 2028. Colleges are drawn to hybrid setups for flexibility, cost control, and data sovereignty, allowing them to optimize performance while meeting security and compliance requirements specific to academic environments.
How Higher Ed Institutions Can Control AI Spending Without Curbing Innovation
Matched: Agentic, AI, Artificial Intelligence
Universities face budget pressure as AI vendors shift from flat subscription fees to consumption-based pricing. Broad faculty, student, and research use makes costs unpredictable, with inefficient prompting and premium model usage adding up across departments. Institutions are developing spending visibility tools and governance strategies to forecast and manage AI expenses without restricting academic innovation or research flexibility.
From Human Speed to Machine Speed: How Higher Ed Security Is Using AI to Fight Agentic Attacks
Matched: Agentic, AI, Artificial Intelligence
Small university security teams are being outpaced by AI-driven "agentic" attacks that operate far faster than humans can respond. Teams of two to five staff at regional institutions are overwhelmed triaging alerts manually, forcing them to prioritize and potentially miss threats. Higher ed institutions are increasingly turning to AI-powered security tools to close this gap and match the automated speed of modern cyberattacks.
Why AI-Driven Modern Classrooms Require a Major Security Conversation
Matched: AI
AI-powered classroom technology has transformed standard audiovisual equipment into networked endpoints with serious security implications. Cameras, ceiling speakers, and interactive displays are now connected systems capable of broadcasting emergency alerts and handling sensitive data. This integration creates potential vulnerabilities that institutions must address, making cybersecurity discussions essential for modern educational environments rather than an afterthought.
How University IT Leaders Can Budget for Volatile AI Pricing Models
Matched: AI, Artificial Intelligence
University IT leaders face mounting challenges budgeting for AI due to unpredictable consumption-based pricing models. Many institutions adopt AI tools without fully understanding cost structures, while simultaneously facing budget cuts. CIOs report difficulty balancing pressure to lead AI adoption against shrinking resources, and struggle to communicate this tension to administrators.