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Resumen de The impact of COVID-19 on teaching in statistics and operations research in higher education

María Concepción Vega Hernández Árbol académico, José Antonio González Alastrué Árbol académico, Roberto Morales Arsenal, Jesús María Pinar Pérez Árbol académico

  • This work explores the adaptation of the learning process during the COVID-19 pandemic, while students and teachers kept confined at home and classes were online. For this task, a survey among teachers in Statistics and Operations Research departments at Spanish universities was conducted. 131 teachers from 25 universities answered a 28-item questionnaire, structured according to five thematic blocks. This survey finds a preference for synchronous learning, sometimes combined with asynchronous support. Their answers also show that in most cases the participants were satisfied with the fast technological adaptation to learning, although they point out the assessment as the main challenge, due to suspicion of unethical behaviors. © 2020 SEIO


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