The aim of this study was to assess, after one year, the impact of faculty development in teaching and learning skills focused on a learner-centered approach on faculty members' perceptions of and approaches to teaching and on their students' learning experiences and approaches. Before training (2014), all 176 faculty members at a dental school in Chile were invited to complete the Approaches to Teaching Inventory (ATI) to assess their teaching approaches (student-vs. teacher-focused). In 2015, all 4% students were invited to complete the Study Process Questionnaire (R-SPQ-2F) to assess their learning approaches (deep or surface) and the Course Experience Questionnaire (CEQ) to measure their teaching quality perceptions. Subsequently, faculty development workshops on student-centered teaching methodologies were delivered, followed by peer observation. In March 2016, all 176 (acuity members and 491 students were invited to complete a second ATI (faculty) and R-SPQ-2 and CEQ (students). Before (2014) and after (2016) the training, 114 (65%) and 116 (66%) faculty members completed the ATI, respectively, and 89 (49%) of the then-181 faculty members completed the perceptions of skills development questionnaire in September 2016. In 2015, 373 students (75%) completed the R-SPQ-2F and CEQ; 412 (83%) completed both questionnaires in 2016. In 2014, the faculty results showed that student-focused teaching was significantly higher in preclinical and clinical courses than in the basic sciences. In 2016, teacher-focused teaching fell significantly; basic science teaching improved the most. Students in both the 2015 and 2016 cohorts had lower mean scores for deep learning approaches from year 1 on, while they increased their scores for surface learning. The students' perceptions of faculty members' good teaching, appropriate assessment, clear goals, and e-learning improved significantly, but perception of appropriate workload did not. Teaching and learning skills development produced significant gains in student-centered teaching for these faculty members and in some students' perceptions of teaching quality. I lowever, student workload needs to be considered to support deep learning.