Home » Actividades » Teaching as a fractal: from experience to model

diciembre 2015
M T W T F S S
 123456
78910111213
14151617181920
21222324252627
28293031  

Teaching as a fractal: from experience to model

Teaching as a fractal: from experience to model
Patricia Compañ-Rosique, Rafael Molina-Carmona, Rosana Satorre-Cuerda y Faraón Llorens-Largo
Universidad de Alicante
EKS (Education in the Knowledge Society).
Vol. 16, Núm. 4 (2015).

http://dx.doi.org/10.14201/eks20151643246

Abstract
The aim of this work is to improve students’ learning by designing a teaching model that seeks to increase student motivation to acquire new knowledge. To design the model, the methodology is based on the study of the students’ opinion on several aspects we think importantly affect the quality of teaching (such as the overcrowded classrooms, time intended for the subject or type of classroom where classes are taught), and on our experience when performing several experimental activities in the classroom (for instance, peer reviews and oral presentations). Besides the feedback from the students, it is essential to rely on the experience and reflections of lecturers who have been teaching the subject several years. This way we could detect several key aspects that, in our opinion, must be considered when de-signing a teaching proposal: motivation, assessment, progressiveness and autonomy. As a result we have obtained a teaching model based on instructional design as well as on the prin-ciples of fractal geometry, in the sense that different levels of abstraction for the various train-ing activities are presented and the activities are self-similar, that is, they are decomposed again and again. At each level, an activity decomposes into a lower level tasks and their cor-responding evaluation. With this model the immediate feedback and the student motivation are encouraged. We are convinced that a greater motivation will suppose an increase in the student’s working time and in their performance. Although the study has been done on a subject, the results are fully generalizable to other subjects.


Leave a comment

Tu dirección de correo electrónico no será publicada.