What Technology Leadership in Higher Ed Really Means Today
Sophie and Jenay are joined by Tara Hughes and Miloš Topić to discuss the current realities of technology leadership in higher education.
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.
Artificial intelligence is pushing IT organizations beyond digital transformation and into broader institutional transformation, challenging them to rethink how they operate, govern, and create value for their institutions.
There is no one-size-fits-all approach to the adoption of artificial intelligence, but there is a framework. Institutions can improve their chances of success by investing in advocates and building trust among campus stakeholders.
"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 research security ownership, the future of CMMC compliance, and surviving vendor breaches.
As artificial intelligence (AI) becomes embedded in day-to-day work across higher education, institutions face growing challenges in aligning its use with organizational strategy. This episode explores the need for coordinated leadership, clear guidance, and ongoing learning to help employees use AI responsibly, confidently, and effectively while managing emerging risks and opportunities.
Artificial intelligence (AI) will transform the classroom into an interactive ecosystem of guidance and support. The Triadic Learning Ecosystem (TLE) offers an architecture of that near future, connecting teachers, students, and AI-enabled tools in a collaborative model of learning.
Four factors can help higher education leaders strengthen artificial intelligence (AI) implementation across their institutions.