Artificial Intelligence Competence Self-Efficacy and Attitudes Toward AI Among T.V.E Teachers as Basis for a Professional Development Plan

This study examined Artificial Intelligence (AI) Competence Self-Efficacy and Attitudes Toward AI among Technology and Vocational Education (TVE) teachers at Abellana National School as a basis for a proposed Professional Development Plan. Anchored in Social Cognitive Theory, the Technology Acceptance Model, and the Technological Pedagogical Content Knowledge (TPACK) Framework, the study employed a quantitative descriptive-correlational design involving 45 TVE teachers selected through total population sampling. Data were collected using the Teacher Artificial Intelligence Competence Self-Efficacy Scale (TAICS) and the Teachers’ Attitudes Toward Artificial Intelligence in Education (TATAIE) Scale. Descriptive statistics and Pearson Product-Moment Correlation were employed for data analysis. Findings revealed high AI Competence Self-Efficacy across six dimensions, with AI Pedagogy obtaining the highest mean (4.01) and AI Assessment the lowest (3.69). Respondents demonstrated favorable Attitudes Toward AI, particularly its Usefulness for Teachers (M = 4.21), while Usefulness for Learners received the lowest rating (M = 3.62). A strong positive and statistically significant relationship was established between AI Competence Self-Efficacy and Attitudes Toward AI (r = 0.691, p < .001), indicating that greater perceived competence was associated with more favorable attitudes. The study recommended a Professional Development Plan prioritizing AI-supported assessment, learner-centered applications, ethical AI integration, and continuous professional engagement. The research aligns with Sustainable Development Goal 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), and SDG 8 (Decent Work and Economic Growth) through teacher development, technological innovation, and vocational education. Its potential sustainability impact involves strengthening institutional teaching capacity, promoting responsible AI adoption, and supporting continuous improvement in skills-oriented education.