Murhadi Murhadi

Teaching Factory (TEFA) provides vocational students with authentic, industry-oriented learning experiences. However, its evaluation often focuses on technical performance and final learning outcomes, leaving employability skills insufficiently assessed. Previous studies have largely examined TEFA implementation and digital assessment separately, highlighting the need for an integrated evaluation model. This study aimed to develop and validate a Digital Teaching Factory Evaluation Model that integrates authentic learning, digital assessment, and employability skills evaluation. A research and development approach was employed using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Data were collected through literature reviews, observations, interviews, questionnaires, document analysis, expert validation, and pretest-posttest assessments. Quantitative data were analyzed descriptively, while qualitative data were examined through coding, categorization, and triangulation. The results showed that the model achieved 88.0% expert validation and 90.0% practicality, indicating that it was highly valid and very practical. Students’ average employability skills scores increased from 67.8 to 84.4, with a reported relative gain of 51.7%. Work readiness showed the highest relative gain (58.1%), followed by collaboration (53.3%), problem-solving (51.4%), communication (50.0%), and adaptability (45.5%). These findings suggest that the model offers a practical framework for assessing employability skills within authentic TEFA activities. It can help vocational teachers document student performance, provide timely feedback, and align assessment with workplace expectations. Further research involving larger samples and stronger experimental designs is needed to examine its effectiveness across different vocational education contexts.