Deep Learning among TVET Trainees at the Teacher Education Institute

Deep learning is effective learning that enhances the engagement of trainee teachers through self-directed efforts, relationships with learning partners, skill-building, knowledge, self-confidence, and a sense of curiosity via inquiry-based discovery methods. The benefits of this deep learning focus on teachers, especially trainee teachers at Teacher Education Institutes (IPG), as they will lead the education sector in the future. Therefore, this quantitative survey study was conducted to identify the level of deep learning among TVET trainee teachers in IPG. The respondents of this study comprised 125 Design and Technology (RBT) trainee teachers from Temenggong Ibrahim Teacher Education Institute. A five-point Likert scale questionnaire was used as the instrument for data collection. The researcher employed IBM SPSS version 22 for descriptive statistical analysis, specifically mean and standard deviation, to identify the level of deep learning among trainee teachers at Temenggong Ibrahim Teacher Education Institute. The findings indicate that deep learning is at a high level, with a mean score of 4.13 (SD=0.806). Based on the findings, TVET trainee teachers are believed to be capable of fully practicing deep learning, and this situation aligns with the Ministry of Education's goal to produce quality teachers with high levels of digital competency.