MANILA, (PIA) — Senator Win Gatchalian announced that the Senate’s final version of the proposed 2025 national budget includes a P70 million allocation to enhance the Technical Education and Skills Development Authority’s (TESDA) digital transformation.
“I believe that accelerating digital transformation and the adoption of artificial intelligence is the way forward when it comes to education, including TVET,” Gatchalian said.
As Co-Chairperson of the Second Congressional Commission on Education (EDCOM II), Gatchalian advocated for the budget to fund three key projects: P40 million for developing an Artificial Intelligence (AI)-powered Technical Vocational Education and Training (TVET) course builder, P20 million for an Internet of Things (IoT) training system, and P10 million for an AI-powered Labor Market Information (LMI) system.
“By investing in TESDA’s AI adoption and digital transformation, we hope to become more efficient in producing skilled workers that respond to the needs of our economy,” he added.
The AI-powered TVET course builder aims to streamline course development and reduce costs by automating processes, thereby lessening the reliance on extensive human resources. This initiative will enable faster updates to training regulations, competency standards, and assessment tools, ensuring all materials meet high-quality, industry-aligned standards.
Gatchalian emphasized that this project will standardize course content and assessments, allowing for the rapid scaling of TVET programs to address the growing demand for skilled workers in the job market.
The IoT training system is designed to equip students with the skills necessary to operate, program, and maintain IoT devices and networks, preparing them for careers in sectors such as industrial automation, healthcare, and agriculture.
Meanwhile, the AI-powered LMI system aims to utilize artificial intelligence to identify emerging industry needs, predict workforce shortages, and help educational institutions align training programs with market demands. (JCO/PIA-NCR)
