City Savings Bank (CitySavings), the thrift bank subsidiary of Union Bank of the Philippines (UnionBank), and a member of the Aboitiz Group, announced its partnership with Khan Academy Philippines, as it plans to fortify professional development for teachers across the country by utilizing artificial intelligence (AI).

According to the Thrift Bank, the initiative aligns with its goal to be the leading mass market bank by providing educators access to Artificial Intelligence (AI)-powered resources to enhance learning.

With the said partnership with Khan Academy, it will address the gap in learning, particularly in remote communities, through the institution’s platform.

CitySavings has been supporting the Department of Education (DepEd) for several years, contributing to campaigns like “Brigada Eskwela” and “Brigada Pagbasa,” providing technological support and learning equipment.

With the collaboration, it indicates a remarkable leap toward the Bank’s corporate social responsibility goal of contributing to a sustainable and future-ready learning environment.

“Our partnership with Khan Academy Philippines is a significant step in CitySavings’ commitment to elevating the Philippine education sector. By providing teachers with AI-powered resources like Khanmigo, we are not just supporting their current professional development, but actively co-creating a sustainable, future-ready learning environment where both educators and students can thrive and lead in the digital age,” said CitySavings assistant vice president-Reputation and Brand Management head Paula Ruelan.

Strengthening foundational skills

The bank further noted that the initiative leverages technology to support lesson planning, assessment creation, and real-time classroom management through Khan Academy’s AI-powered teaching assistant, Khanmigo.

The resources are designed to benefit students and teachers, as the former can learn more concepts at their own pace, while the latter can focus on providing mentorship to students, given the reduced administrative load.