stdClass Object ( [id] => 17002 [paper_index] => 202507-01-023123 [title] => QUEZON PROVINCE TVET SECTOR'S RESPONSE TO AI-INDUCED DISRUPTIONS [description] => [author] => Kendrick Jim A. Tabi, Claudia Odette J. Ayala PhD [googlescholar] => [doi] => https://doi.org/10.36713/epra23123 [year] => 2025 [month] => July [volume] => 11 [issue] => 7 [file] => fm/jpanel/upload/2025/July/202507-01-023123.pdf [abstract] => This research explored the introduction of artificial intelligence to the Technical-Vocational Education and Training (TVET) system in Quezon Province, Region 4A, Philippines. Given that AI has a transformative potential and brings in game changing implications for the future workforce, this research study explored the state of integration of AI among TVET institutions, evaluated the institutional readiness to integrate AI-related content and technologies, and analyzed how different stakeholders perceive challenges and opportunities associated with embedding AI. A mixed-method approach was employed in gathering data in the form of surveys among TVET trainers and structured interviews with TVET administrators. Quantitative data were analyzed descriptively while thematic analysis was employed to examine qualitative data. After thorough analysis, results revealed that the respondents were mostly familiar with AI tools utilized in education, showing their readiness to integrate such technologies into their teaching practices. However, there are different challenges facing TVET institutions, frequently on the lack of resources. On the other hand, AI presents the opportunity to enhance the teaching of skills in TVET courses. [keywords] => Artificial Intelligence, Curriculum Development, Educational Technology, Technical-Vocational Education and Training, TVET Institutions [doj] => 2025-07-18 [hit] => [status] => [award_status] => P [orderr] => 74 [journal_id] => 1 [googlesearch_link] => [edit_on] => [is_status] => 1 [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR) [short_code] => IJMR [eissn] => 2455-3662 (Online) [pissn] => - -- [home_page_wrapper] => images/products_image/11.IJMR.png ) Error fetching PDF file.