abstract
- COVID-19 confinement has shaken the educative system with deep changes in teaching, discipline, persistence, and new learning horizons. Teachers' evaluation by students is a common practice in Higher Education. Used as a feedback assessment to improve Education, extracting patterns from those evaluations is a very recurrent practice in university assessments, but it is recurrently criticized because such gathering techniques fail to exhibit valuable outcomes due just single indicators are obtained from them. In this work, we explore a joint statistics to analyse the transition on COVID-19 confinement (from pre-COVID to New Normal), thus extracting certain student patterns through such period. © 2023 Author(s).