There have been many achievements in the research on teacher competence, however, the results of specializing in teachers’ teaching competency (TTC) are very rare in China. This study presents a research framework to address this gap. A digital mixed methods evaluation design is utilized to assess teachers’ teaching competencies in the context of Teacher Education Revitalization. More specifically, a digital mixed methods analysis with NLP Wordnet analysis (qual) and NLP analysis using TF-IDF algorithm (quan) is used in the first phase to identify key information relevant to teachers’ teaching competency in educational policy. Then, in the second phase, this study investigates MEd students’ perceptions of teachers’ teaching competency through a questionnaire variant of convergent design. Finally, possible explanations will be given to the convergent results based on educational policy structural context. We hope researchers in the future can adopt the digital mixed methods evaluation design in other educational fields.