Ponencia
Automatic grading of student-specific exercises in large groups of the subject theory of machines and mechanisms
Autor/es | Chamorro Moreno, Rosario
García Vallejo, Daniel Martínez Reina, Francisco Javier Reina Romo, Esther |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Mecánica y de Fabricación |
Fecha de publicación | 2019 |
Fecha de depósito | 2023-11-28 |
Publicado en |
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ISBN/ISSN | 978-3-030-00107-0 2211-0984 |
Resumen | This study establishes an already defined and tested method to grade exercises of kinematics and dynamics within the course entitled “Theory of Machines and Mechanisms” of the Industrial Technologies Engineering Degree at ... This study establishes an already defined and tested method to grade exercises of kinematics and dynamics within the course entitled “Theory of Machines and Mechanisms” of the Industrial Technologies Engineering Degree at the Seville School of Engineering (Spain). Particular emphasis is made on the automation of grading and personalization of the exercises, due to the large number of students enrolled in this course. The former is made through a teaching platform available at the University of Seville and called Doctus, whilst the latter is achieved by defining the input data of the exercises and the requested results as a function of the digits of the student’s ID. The students must face and solve a personalized problem by their own with the knowledge and competences acquired during the academic course. This paper describes the exercises and the tools used to grade them and shows the satisfactory results obtained with these exercises after three academic courses. |
Cita | Chamorro Moreno, R., García Vallejo, D., Martínez Reina, F.J. y Reina Romo, E. (2019). Automatic grading of student-specific exercises in large groups of the subject theory of machines and mechanisms. New Trends in Educational Activity in the Field of Mechanism and Machine Theory . Mechanisms and Machine Science, vol 64. Madrid: Springer. |
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