Importance of feedback in the student evaluation process
Keywords:
evaluation, feedback, significant learning, student, teaching-learningAbstract
Many teachers do not consider feedback as part of the process, leaving it aside without giving due importance to it, as part of the student's training, which has generated some deficiencies on the part of teachers by facilitating knowledge to their students, In each of the topics explained in the classroom, this is where the need arises for the teacher to make the proper selection, classification and planning of the subject that has not been understood so that it can be fed back to cover said difficulties. The objective of the research is to show a brief analysis of the importance of feedback in the student evaluation process, especially with the acquisition of significant learning. The methodology applied in the investigation has been the bibliographic analysis, applying the collection of information from various reliable sources to structure a critical analysis through the application of the analytical method - synthetic of the subject and establish the conclusions. The results obtained have shown the role of feedback oriented to educational evaluation for the understanding, construction and application of the topics that are addressed with the students.
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Amirhosseini, B., & Hosseini, S. H. (2018). Scheduling charging of hybrid-electric vehicles according to supply and demand based on particle swarm optimization, imperialist competitive and teaching-learning algorithms. Sustainable cities and society, 43, 339-349. https://doi.org/10.1016/j.scs.2018.09.002
Assessment, C. (2019). Assessment for learning. Available on line at: http://ati. pearson. com/downloads/chapters/7% 20Strats, 20.
Cambridge. A. (2019) Assessment for Learning.https://www.cambridgeinternational.org/Images/579619-assessment-for-learning-spanish-.pdf
Chaviano Herrera, O., Baldomir Mesa, T., Coca Meneses, O., & Gutiérrez Maydata, A. (2016). La evaluación del aprendizaje: nuevas tendencias y retos para el profesor. Edumecentro, 8(4), 191-205.
Clavijo, G. (2021). The simple implementation of student-centered teaching models and strategies cannot be considered as the only guarantee of educational quality.
Contreras, G. (2018). Peer Feedback in University Teaching.
Dziuban, C., & Moskal, P. (2011). A course is a course is a course: Factor invariance in student evaluation of online, blended and face-to-face learning environments. The Internet and Higher Education, 14(4), 236-241. https://doi.org/10.1016/j.iheduc.2011.05.003
Galarza, F.M. (2021). Formative evaluation. A systematic review: concepts, self-regulation and online education. Digital Publisher. Vol 6 (S-1) https://doi.org/10.33386/593dp.2021.5-1.681
García-Jiménez, E. (2015). Assessment of learning: From feedback to self-regulation. The role of technologies. Electronic Journal of Educational Research, Assessment & Evaluation, 21(2).
Gilboy, M. B., Heinerichs, S., & Pazzaglia, G. (2015). Enhancing student engagement using the flipped classroom. Journal of nutrition education and behavior, 47(1), 109-114. https://doi.org/10.1016/j.jneb.2014.08.008
Guasch, T., Alvarez, I., & Espasa, A. (2010). University teacher competencies in a virtual teaching/learning environment: Analysis of a teacher training experience. Teaching and Teacher Education, 26(2), 199-206. https://doi.org/10.1016/j.tate.2009.02.018
Lund, H. G., Reider, B. D., Whiting, A. B., & Prichard, J. R. (2010). Sleep patterns and predictors of disturbed sleep in a large population of college students. Journal of adolescent health, 46(2), 124-132. https://doi.org/10.1016/j.jadohealth.2009.06.016
Marquez, G., Isalgue, E., Suarez, A., Gonzalez, J., & Perez, O. (2012). Educational communication in the learning evaluation process. Scientific Information Magazine, 73(1).
Mendoza-Saltos, C. L., & Castillo-Bravo, E. F. (2022). School desertion in the learning of upper basic and high school students. International Journal of Social Sciences, 5(3), 153-159. https://doi.org/10.21744/ijss.v5n3.1915
Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296. https://doi.org/10.1016/j.compedu.2009.06.011
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-aided design, 43(3), 303-315. https://doi.org/10.1016/j.cad.2010.12.015
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2012). Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Information sciences, 183(1), 1-15. https://doi.org/10.1016/j.ins.2011.08.006
Shahiri, A. M., & Husain, W. (2015). A review on predicting student's performance using data mining techniques. Procedia Computer Science, 72, 414-422. https://doi.org/10.1016/j.procs.2015.12.157
Timperley, C. (2020). Constellations of indigeneity: The power of definition. Contemporary Political Theory, 19, 38-60.
Uttl, B., White, C. A., & Gonzalez, D. W. (2017). Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related. Studies in Educational Evaluation, 54, 22-42. https://doi.org/10.1016/j.stueduc.2016.08.007
Van, C. (2016). Teacher training and school: possible articulations. Science and Society, 41(1), 29-43.
Wilson, D. (2020). Feedback through the Pyramid and the Feedback Ladder. Miami: Seminar: Closing the gap
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