An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

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...

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Xehetasun bibliografikoak
Egile Nagusiak:	Morales Giraldo, María Encarnación, Salmerón Cerdán, Antonio, Maldonado González, Ana Devaki, Masegosa Arredondo, Andrés Ramón, Rumí Rodríguez, Rafael
Formatua:	info:eu-repo/semantics/article
Hizkuntza:	English
Argitaratua:	MDPI 2022
Gaiak:	continuous assessment Bayesian networks artificial neural networks classification
Sarrera elektronikoa:	http://hdl.handle.net/10835/14068

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Mixtures of Truncated Basis Functions
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Continuous assessment and support for learning: an experience in educational innovation with ICT support in higher education.
nork: Coll Salvador, César, et al.
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