Using machine learning to examine preservice teachers’ perceptions of their digital competence

This research paper’s aim was to investigate both the pre-service teachers’ perceptions of their digital competence and if gender, type bachelor’s degree age made opinions different or not. To do so, clustering analysis method employed analyze areas items questionnaires used as a data collection technique. The study group included 291 participants who are now teacher-trainees in Draa-Tafilalte Regional Teacher-Training Center Errachidia Ouarzazate south-east Morocco. In so doing, number results attained basically confirmed that level teacher-trainees’ low weak three parameters (the degree, gender age) played significant role shaping on competence. paper ended with some major implications were drawn from findings this our bid highlight needs teachers should be met training courses related activities develop teaching learning process.