| dc.creator | Aguilar Feijo, Victor Gerardo | |
| dc.creator | Villavicencio Quinde, Manuel Gonzalo | |
| dc.creator | Roldan Monsalve, Diego Fernando | |
| dc.creator | Roldan Arauz, Diego Francisco | |
| dc.date.accessioned | 2021-01-20T03:36:02Z | |
| dc.date.accessioned | 2022-10-20T20:22:07Z | |
| dc.date.available | 2021-01-20T03:36:02Z | |
| dc.date.available | 2022-10-20T20:22:07Z | |
| dc.date.created | 2021-01-20T03:36:02Z | |
| dc.date.issued | 2019 | |
| dc.identifier | 1392-0340 | |
| dc.identifier | http://dspace.ucuenca.edu.ec/handle/123456789/35452 | |
| dc.identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078438332&doi=10.15823%2fp.2019.135.1&partnerID=40&md5=0bd0b3ab976fde43f6fd113302a10a2b | |
| dc.identifier | 10.15823/p.2019.135.1 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4596032 | |
| dc.description.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. © 2019, Vilnius Pedagogical University. | |
| dc.language | es_ES | |
| dc.source | Pedagogika | |
| dc.subject | Learning measurement | |
| dc.subject | Group equivalence | |
| dc.subject | Effective Meta-Heuristic Assignment | |
| dc.subject | Small treatment and control groups | |
| dc.title | Effective metaheuristic assignment to improve equivalence in small experimental pedagogical groups | |
| dc.type | ARTÍCULO | |
