Effective Metaheuristic Assignment to Improve Equivalence in Small Experimental Pedagogical Groups

  • Diego Roldán University of Cuenca, Ecuador
  • Víctor Aguilar University of Cuenca, Ecuador
  • Francisco Roldán University of Cuenca, Ecuador
  • Manuel Villavicencio University of Cuenca, Ecuador
Keywords: Effective Meta-Heuristic Assignment, learning measurement, small treatment and control groups, group equivalence

Abstract

We propose a new metaheuristic algorithm to find “good” solutions for the assignment of small treatment-control groups, minimising the random resource. Using simulated cases, we achieved 100% groups with equivalence levels equal to or higher than those generated with the simple random assignment, complete random assignment and block random assignment designs. In addition, as a secondary objective to test the new algorithm, we found that short out of-class essays implied that treatment group marks were 14% higher than in the control group.

Author Biographies

Diego Roldán, University of Cuenca, Ecuador

Faculty of Economics, University of Cuenca, Ecuador

Víctor Aguilar, University of Cuenca, Ecuador

Faculty of Economics, University of Cuenca, Ecuador

Francisco Roldán, University of Cuenca, Ecuador

Faculty of Economics, University of Cuenca, Ecuador

Manuel Villavicencio, University of Cuenca, Ecuador

Faculty of Philosophy, University of Cuenca, Ecuador

Published
2019-12-01
How to Cite
Roldán, D., Aguilar, V., Roldán, F., & Villavicencio, M. (2019). Effective Metaheuristic Assignment to Improve Equivalence in Small Experimental Pedagogical Groups. Pedagogy, 135(3), 5-29. https://doi.org/10.15823/p.2019.135.1
Section
Articles