In this episode, Jason La Greca and Kate Carruthers explore how AI is transforming universities, research, and learning methodologies. Kate and Jason discuss about the evolving landscape of higher education in the context of AI and data. They discuss the challenges universities face in meeting the needs of employers and students, the importance of transdisciplinary learning, and the role of research in driving innovation. The conversation also touches on the impact of AI on workflows, the future of assessment in education, and the need for organizations to regain their capabilities in-house. Jason shares insights from his upcoming book, ‘The Capable Organization,’ which addresses these themes and offers practical steps for educators and institutions.
Key takeaways
- The disconnect between university curricula and employer/industry needs
- The importance of university roots in Socratic dialogue and interdisciplinary exposure
- How AI can enhance research data utilization and open access
- Structural challenges within higher education, including governance and outdated systems
- The potential of agent-based AI and automation to streamline organizational processes
- Redefining assessment to focus on judgment, decision-making, and behavior over content
- Moving from a content-focused model to experiential, human-centered education
- The impact of COVID-19 in accelerating digital transformation and online teaching
- Strategies for universities to develop core human skills: judgment, judgment, and entrepreneurship
- The role of transdisciplinary programs and diverse experience in future-proofing students
- Practical steps for organizations and institutions to adopt AI responsibly and effectively
