Automatic Grading System for Object-Oriented Programming on an E-learning Platform.

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Título:	Automatic Grading System for Object-Oriented Programming on an E-learning Platform.
Autor:	Poveda, Darwin López Fonseca, Gabriel Carvajal, Jorge Sánchez Catota, Franklin Leonel
Palabras clave:	E-LEARNING AUTOMATIC GRADING
Fecha de publicación:	nov-2019
Editorial:	Quito : EPN, 2019.
Citación:	Poveda, D., López Fonseca, G., Carvajal, J. y Sánchez Catota, F. (2019). Automatic Grading System for Object-Oriented Programming on an E-learning Platform. Memorias, XXIX Jornadas en Ingeniería Eléctrica y Electrónica, 29 (23), 174-180.
Resumen:	Abstract: Manual grading of Object-Oriented Programming assignments implies that sometimes the feedback arrives late. In addition, the main grading criteria is usually functionality, which leaves other grading criteria aside. This paper presents a platform that supports different automatic grading processes with quick feedback. Therefore, this work integrated an architecture that supports different grading metrics with the Edx MOOC. By using the external grader, which is a component of Edx, the student´s answer code was sent and feedback was received. The results demonstrate the feasibility of integration of Edx with the Grader.
URI:	http://bibdigital.epn.edu.ec/handle/15000/24068
ISBN:	978-9942-36-670-2
Tipo:	Article
Aparece en las colecciones:	2019 Memorias de las XXIX Jornadas en Ingeniería Eléctrica y Electrónica (2019 J - FIEE)

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