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dc.contributor.author | Rubio, Francisco | es_ES |
dc.contributor.author | Llopis-Albert, Carlos | es_ES |
dc.contributor.author | Zeng, Shouzhen | es_ES |
dc.date.accessioned | 2022-10-10T12:30:52Z | |
dc.date.available | 2022-10-10T12:30:52Z | |
dc.date.issued | 2022-10-04 | |
dc.identifier.uri | http://hdl.handle.net/10251/187356 | |
dc.description.abstract | [EN] The syllabus of a subject, that is part of the curriculum of a bachelor s or master's degree, must provide the student with information about all the fundamental aspects of the subject. It is a piece of written document or multimedia file encompassing all topics and concepts that will be covered in a certain subject. The objective of the syllabus is to put the subject and the information related to it in context by means of clear, organized, concise and summarized style. It should not be limited only to the subject matter. Instead, it is advisable to provide basic course information such as the number of credits; course content; transversal competences, skills and attitudes that are relevant for access to work and further learning; faculty staff; assessment and evaluation elements; calendar; venues, and facilities location; lesson plans and bibliography. Moreover, information about the activities to be carried out and whether they are done individually or in groups. Another important point is the evaluation of students and how to assess their achievements in terms of the level of acquisition of knowledge and skills planned in the subject. It helps students to meet the desired subject objectives and to motivate them. In short, it will lay the foundations so that at least contents, methods and techniques of the discipline that supports the subject can be taught and so that students can acquire the knowledge and competences committed. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Multidisciplinary Journal for Education, Social and Technological Sciences | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Syllabus | es_ES |
dc.subject | Transversal competences | es_ES |
dc.subject | Effective teaching-learning process | es_ES |
dc.subject | Effective teaching | es_ES |
dc.subject | Learning targets | es_ES |
dc.subject | Student evaluation elements | es_ES |
dc.subject | Alumni motivation | es_ES |
dc.title | Best practices in syllabus design and course planning applied to mechanical engineering subjects | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.4995/muse.2022.18230 | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.description.bibliographicCitation | Rubio, F.; Llopis-Albert, C.; Zeng, S. (2022). Best practices in syllabus design and course planning applied to mechanical engineering subjects. Multidisciplinary Journal for Education, Social and Technological Sciences. 9(2):123-137. https://doi.org/10.4995/muse.2022.18230 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/muse.2022.18230 | es_ES |
dc.description.upvformatpinicio | 123 | es_ES |
dc.description.upvformatpfin | 137 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.description.issue | 2 | es_ES |
dc.identifier.eissn | 2341-2593 | |
dc.relation.pasarela | OJS\18230 | es_ES |
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dc.description.references | Llopis-Albert, C., Rubio, F., Valero, F. (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, 101, 737-742. https://doi.org/10.1016/j.jbusres.2018.12.076 | es_ES |
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dc.description.references | Valera, Á., Valero F., Vallés M., Besa A., Mata V., Llopis-Albert C. (2021). Navigation of autonomous light vehicles using an optimal trajectory planning algorithm. Sustainability, 2021; 13(3):1233. https://doi.org/10.3390/su13031233 | es_ES |
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