An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark
María Morales (),
Antonio Salmerón,
Ana D. Maldonado,
Andrés R. Masegosa and
Rafael Rumí
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María Morales: Department of Mathematics, University of Almería, 04120 Almería, Spain
Antonio Salmerón: Department of Mathematics, University of Almería, 04120 Almería, Spain
Ana D. Maldonado: Department of Mathematics, University of Almería, 04120 Almería, Spain
Andrés R. Masegosa: Department of Computer Science, Aalborg University, 2450 Copenhagen SV, Denmark
Rafael Rumí: Department of Mathematics, University of Almería, 04120 Almería, Spain
Mathematics, 2022, vol. 10, issue 21, 1-21
Abstract:
Since the Bologna Process was adopted, continuous assessment has been a cornerstone in the curriculum of most of the courses in the different degrees offered by the Spanish Universities. Continuous assessment plays an important role in both students’ and lecturers’ academic lives. In this study, we analyze the effect of the continuous assessment on the performance of the students in their final exams in courses of Statistics at the University of Almería. Specifically, we study if the performance of a student in the continuous assessment determines the score obtained in the final exam of the course in such a way that this score can be predicted in advance using the continuous assessment performance as an explanatory variable. After using and comparing some powerful statistical procedures, such as linear, quantile and logistic regression, artificial neural networks and Bayesian networks, we conclude that, while the fact that a student passes or fails the final exam can be properly predicted, a more detailed forecast about the grade obtained is not possible.
Keywords: continuous assessment; Bayesian networks; artificial neural networks; classification (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:21:p:3994-:d:955358
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