TY - JOUR
T1 - Effective metaheuristic assignment to improve equivalence in small experimental pedagogical groups
AU - Roldán, Diego
AU - Aguilar Feijo, Victor Gerardo
AU - Roldán, Francisco
AU - Villavicencio, Manuel
N1 - Publisher Copyright:
© 2019, Vilnius Pedagogical University. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Effective Meta-Heuristic Assignment
KW - Group equivalence
KW - Learning measurement
KW - Small treatment and control groups
UR - https://www.scopus.com/pages/publications/85078438332
U2 - 10.15823/p.2019.135.1
DO - 10.15823/p.2019.135.1
M3 - Artículo
AN - SCOPUS:85078438332
SN - 1392-0340
VL - 135
SP - 5
EP - 29
JO - Pedagogika
JF - Pedagogika
IS - 3
ER -