AI for Education Leaders

Empowering Educational Leaders to Navigate AI and Curriculum Innovation

The Naavik Fellowship Program is designed to equip Deans and senior leaders of Schools of Education with the knowledge and skills necessary to integrate Artificial Intelligence (AI) into teacher education curricula. "Naavik" is Hindi for navigator and highlights the crucial role of leaders in helping their institutions adapt to the shifting education ecosystems. This program aims to foster innovation, adapt to evolving educational paradigms, and address the unique challenges of Asian education systems. The fellowship will explore recent theories on cognition and adaptive leadership, focusing on their application to AI-enabled learning and teaching. 

Program Structure:

Module 1: Foundations of AI in Education

• Duration: 2 days (in-person)

• Location: DLSU Animo Labs

• Objective: To introduce fellows to the fundamentals of AI and its implications for education.

Content:

• • Introduction to AI: Definitions, history, and current trends

  • The impact of AI on education: Opportunities and challenges

  • Theories of cognition from "The Knowledge Illusion" by Sloman

  • Adaptive Leadership principles from Heifetz and their relevance to educational innovation

Activities:

• • Interactive workshops on AI tools and applications in education

  • Group activities to understand the neuroscience of learning and discussions on integrating AI into existing curricula

Module 2: Practicum in Home Institutions

Duration: 6 weeks

Location: Fellows' home institutions

Objective: To allow the fellows to prototype the application of AI-enabled learning and adaptive leadership principles in their contexts. Fellows are expected the engage their home institutions in co-creating and prototyping draft AI-ready curricula. 

Content:

• • Implementing AI-enabled projects or initiatives within their institutions

  • Engaging with faculty and students to gather feedback and insights

Activities:

• • Development and execution of a small-scale AI integration project

  • Regular virtual check-ins and mentoring sessions with Naavik Fellowship advisors

  • Peer collaboration and sharing of progress reports

Module 3: Advanced AI Applications and Leadership Strategies

Duration: 2 days (in-person)

Location:  DLSU Animo Labs

Objective: To deepen understanding of advanced AI applications and refine leadership strategies for driving change.

Content:

• • Advanced AI applications in education: Personalized learning, data analytics, and intelligent tutoring systems

  • Adaptive leadership in action: Navigating resistance and fostering a culture of innovation

Activities:

• • Hands-on workshops on advanced AI tools

  • Case study analyses and group presentations

  • Leadership strategy sessions with expert facilitators

Module 4: Prototyping Experimental Curricula/Seminars thru Eduimpact Lab at Home Institutions

• Duration: 8 weeks

• Location: Fellows' home institutions

• Objective: To design, prototype, and test experimental curricula or seminars that incorporate AI and cognitive theories.

Content:

• • Curriculum design principles and best practices

  • Prototyping and iterative testing methodologies

Activities:

• • Design and development of an experimental AI-enabled curriculum or seminar

  • Pilot testing with a selected group of educators or students

  • Collecting and analyzing feedback for refinement

Module 5: Presentation and Reflection

Duration: 1 day (in-person)

Location: DLSU Aninmo Labs

Objective: To present final projects, share experiences, and reflect on the fellowship journey.

Content:

• • Final presentations of experimental curricula/seminars

  • Reflections on learning and leadership growth

  • Future directions and sustainability planning

Activities:

• • Presentation sessions with peer and expert feedback

  • Reflective discussions and action planning

  • Graduation ceremony and awarding of Naavik Fellowship certificates

Selected Theoretical Frameworks:

Cognition and Knowledge:

• "The Knowledge Illusion" by Steven Sloman and Philip Fernbach: Understanding how humans think and the implications for teaching and learning in an AI context.

Adaptive Leadership:

• Adaptive Leadership principles by Ronald Heifetz (Harvard University): Strategies for leading change and fostering adaptive, resilient educational environments.

Application and Selection:

Eligibility:

• Open to Deans and senior leaders of Schools of Education in the Philippines.

• Applicants should have a demonstrated interest in educational innovation and AI integration.

Selection Criteria:

• Commitment to driving educational change within their institutions

• Experience in leadership and curriculum development

• Potential for impact on the broader educational community

Program Fee: 

P20,000 for individuals 

P30,000 for teams of up to 5 individuals from the same institution (Only 2 selected team members may participate in in-person events. Other team members will participate in all modules online.)

*Fees for in-person participants do not include meals and accommodation.