Programs that allow students to participate in cybersecurity activities benefit the students academically and professionally, and they improve institutional defenses against cyberattacks.
The Trump administration's revamp of the regulations governing federal contracts incorporates positive changes to the controlled unclassified information (CUI) provisions proposed under a prior rulemaking. EDUCAUSE comments on the currently proposed regulations, however, highlight the need for additional improvements.
As generative artificial intelligence reshapes conversations about teaching, learning, and assessment, colleges and universities have an opportunity to look beyond what learners produce and better understand how human capability develops over time, strengthening teaching, feedback, and assessment through richer evidence of learning.
True institutional resilience is built through deliberate design, not deployed in a crisis. Learn why CIOs and technology leaders must rethink technology architecture as a strategic institutional function.
Thoughtful use of AI prompts can help instructors design learning activities that bring UDL practices into all courses.
The House passed the Kids Internet and Digital Safety Act with bipartisan support, but the bill faces an uncertain path in the Senate after omitting the contested "duty of care" provision.
Sophie and Jenay are joined by Tara Hughes and Miloš Topić to discuss the current realities of technology leadership in higher education.
Higher education institutions can better prepare students for an artificial intelligence–augmented workforce by shifting from teacher-centered models to facilitative instructional approaches that develop the enduring professional capacities that become more, not less, valuable as AI transforms work: critical thinking, collaboration, creativity, and adaptability.
How much of cybersecurity is really about understanding people? This episode explores the human side of cybersecurity and institutional resilience, discussing how higher education institutions prepare for and respond to major disruptions.
As demand for data-intensive and AI-enabled research continues to grow, investments in research computing infrastructure are becoming increasingly consequential for talent recruitment, research capacity, and workforce development.
