- -

Best practices in syllabus design and course planning applied to mechanical engineering subjects

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Best practices in syllabus design and course planning applied to mechanical engineering subjects

Mostrar el registro completo del ítem

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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/187356

Ficheros en el ítem

Metadatos del ítem

Título: Best practices in syllabus design and course planning applied to mechanical engineering subjects
Autor: Rubio, Francisco Llopis-Albert, Carlos Zeng, Shouzhen
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Syllabus , Transversal competences , Effective teaching-learning process , Effective teaching , Learning targets , Student evaluation elements , Alumni motivation
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Multidisciplinary Journal for Education, Social and Technological Sciences. (eissn: 2341-2593 )
DOI: 10.4995/muse.2022.18230
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/muse.2022.18230
Tipo: Artículo

References

Jones, S.K., Noyd, R.K., Sagendorf, K.S. (2015). Building a Pathway to Student Learning: A How-To Guide to Course Design. Stylus Publishing, LLC.

Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research, 68 (7), 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027

Llopis-Albert, C., Rubio, F., Valero, F. (2018). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867 [+]
Jones, S.K., Noyd, R.K., Sagendorf, K.S. (2015). Building a Pathway to Student Learning: A How-To Guide to Course Design. Stylus Publishing, LLC.

Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research, 68 (7), 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027

Llopis-Albert, C., Rubio, F., Valero, F. (2018). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867

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

Llopis-Albert, C., Rubio, F. (2021). Methodology to evaluate transversal competences in the master's degree in industrial engineering based on a system of rubrics and indicators. Multidisciplinary Journal for Education, Social and Technological Sciences 8(1), 30-44. https://doi.org/10.4995/muse.2021.15244

Llopis-Albert, C., Palacios-Marqués, D., Simón-Moya, V. (2021). Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicles (EVs). Technological Forecasting and Social Change, 169, 120843. https://doi.org/10.1016/j.techfore.2021.120843

Llopis-Albert, C., Rubio, F., Zeng, S., Grima-Olmedo, J., Grima-Olmedo, C. (2022). The Sustainable Development Goals (SDGs) applied to Mechanical Engineering. Multidisciplinary Journal for Education, Social and Technological Sciences 9(1), 59-70. https://doi.org/10.4995/muse.2022.17269

Millis, B.J. (2009). The Syllabus Toolbox: A Handbook for Constructing a Learning- Centered Syllabus, University of Texas, San Antonio.

Nunan, D. (1988). Syllabus design. Oxford: Oxford University Press. ISBN: 0194371395, 177 pages.

Robb, M.S. (2012). The Learner-Centered Syllabus. The Journal of Continuing Education in Nursing, 43(11), 489-490. https://doi.org/10.3928/00220124-20121024-26

Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2015). Assembly Line Productivity Assessment by Comparing Optimization-Simulation Algorithms of Trajectory Planning for Industrial Robots. Mathematical Problems in Engineering, Volume 2015, Article ID 931048. https://doi.org/10.1155/2015/931048

Rubio, F., Llopis-Albert, C. (2019). Viability of using wind turbines for electricity generation in electric vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences, 6(1), 115-126. https://doi.org/10.4995/muse.2019.11743

Rubio, F., Llopis-Albert, C., Valero, F. (2021). Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth. Technological Forecasting and Social Change, 173, 121115. https://doi.org/10.1016/j.techfore.2021.121115

Slattery, J.M., Carlson, J.F. (2005). Preparing An Effective Syllabus: Current Best Practices. College Teaching 53(4), 159-164. https://doi.org/10.3200/CTCH.53.4.159-164

Tiana, A., Moya, J., Luengo, F. (2011). Implementing key competences in basic education: reflections on curriculum design and development in Spain. European Journal of Education 46(3), 307-322. https://doi.org/10.1111/j.1465-3435.2011.01482.x

Tokatli, A.M., Kesli, Y. (2009). Syllabus:how much does it contribute to the effective communication with the students? Procedia Social and Behavioral Sciences 1, 1491-1494. https://doi.org/10.1016/j.sbspro.2009.01.263

UPV (2020). Proyecto institucional competencias transversales. Universitat Politècnica de València (UPV). Valencia. Spain. https://www.upv.es/entidades/ICE/info/Proyecto_Institucional_CT.pdf

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

Valero, F., Rubio, F., Llopis-Albert, C., Cuadrado, J.I. (2017). Influence of the Friction Coefficient on the Trajectory Performance for a Car-Like Robot. Mathematical Problems in Engineering, 9 pages. Article ID 4562647. https://doi.org/10.1155/2017/4562647

Valero, F., Rubio, F., Besa, A.J., Llopis-Albert, C. (2019). Efficient trajectory of a car-like mobile robot. Industrial Robot: the international journal of robotics research and application, 46(2), 211-222. https://doi.org/10.1108/IR-10-2018-0214

Valero, F., Rubio, F., Llopis-Albert, C. (2019). Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot. Robotica, 37(11), 1998-2009. https://doi.org/10.1017/S0263574719000407

Zeng, S., Zhang, Na, Zhang, C., Su, W., Llopis-Albert, C. (2022) .Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment. Technological Forecasting and Social Change, 175, 121414. https://doi.org/10.1016/j.techfore.2021.121414

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem