Teaching and Learning with AI: Three Priorities

AI is forcing higher education leaders to rethink traditional planning. As colleges and universities face rapid changes in AI capabilities, costs, and demand, leaders discuss strategies for staying flexible, choosing the right tools for specific needs, and ensuring AI investments support institutional priorities. This conversation highlights strategies for these uncertainties. Hosted on Acast. See acast.com/privacy for more information.

As people across higher education increasingly use artificial intelligence (AI) systems that can plan and take action, they face new opportunities and challenges. This episode explores how agentic AI capabilities could reshape teaching, learning, research, institutional work, and decision-making. Hosted on Acast. See acast.com/privacy for more information.

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. Hosted on Acast. See acast.com/privacy for more information.

Artificial intelligence is amplifying cybersecurity risks in higher education by making threats like phishing more effective and vulnerabilities easier to exploit, while increasing pressure on institutions to strengthen security without sacrificing openness, innovation, or the academic mission. This episode examines four key challenges facing cybersecurity leaders. Hosted on Acast. See acast.com/privacy for more information.

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. Hosted on Acast. See acast.com/privacy for more information.

Across campuses, conversations about artificial intelligence are sometimes being framed by unease rather than enthusiasm. Leaders, faculty and students are questioning how fast to move, what might break and who bears the risk. Hosted on Acast. See acast.com/privacy for more information.

Colleges and universities have begun formalizing the chief AI officer role as they respond to the growing impact of generative artificial intelligence on teaching, research, and operations. Reflections from early incumbents point to five lessons about how AI leadership in higher education is taking shape. Hosted on Acast. See acast.com/privacy for more information.

AI is helping campuses work faster without cutting staff. The University of Michigan and UC San Diego show how institution-specific tools save time, reduce costs, and deliver better support. Hosted on Acast. See acast.com/privacy for more information.

This episode explores how artificial intelligence can either bridge or widen accessibility gaps in higher education, emphasizing the need for inclusive design, representation, and collaboration with disability communities to ensure equitable innovation. Hosted on Acast. See acast.com/privacy for more information.

As institutions face growing uncertainty—from enrollment shifts to changing job markets—many see AI not just as a tool, but as a lifeline. It’s helping colleges and universities rethink how they operate, offering new ways to adapt, respond, and build more sustainable futures. Hosted on Acast. See acast.com/privacy for more information.