RT info:eu-repo/semantics/article
T1 Aplicación de la Teoría de Carga Cognitiva y el Efecto de Atención Dividida En La Enseñanza  de Estructuras De Datos
A1 Arévalo-Mercado, Carlos Argelio
A1 Muñoz-Andrade, Estela Lizbeth
A1 Cardona-Reyes, Héctor
A1 Romero-Juárez, Gabriel
K1 Cognitive Load Theory, Split Attention Effect, Data Structures, Instructional Design, Programming Education, Digital Competence, Software Engineering, Latin America.
AB Learning data structures is a hard task forcomputer science students, given the mental effort required tosimultaneously understand abstract diagrams and the dynamicmanipulation of nodes and pointers using programminglanguages. In literature, proposed solutions to the problem focuson visualization-based artifacts, pedagogical methods, or acombination of both. The present study is framed within thecognitive learning paradigm and describes the design and testingof a linked list visualization software tool, based on the SplitAttention effect of Cognitive Load Theory. The study was carriedout at the Autonomous University of Aguascalientes (UAA),Mexico. In the learning effectiveness test, significant results(p=0.000) are reported for the participants of the experimentalgroup (n=35), using the nonparametric Wilcoxon test, with aquasi-experimental pre-posttest design. It is discussed that thespatial and temporal integration of linked list node diagrams andthe corresponding worked example code for the implementationof its basic operations can benefit students with learning gaps inprevious introductory programming courses. It is also reportedthat the control group (n=36) had gains through traditionallearning (p=0.022), although this group started from a higherprior academic performance. We propose to extend the SplitAttention Tool to include a wider range of data structures and toreplicate the study with randomized experimental designs.
PB IEEE
YR 2023
FD 2023
LK http://riull.ull.es/xmlui/handle/915/32840
UL http://riull.ull.es/xmlui/handle/915/32840
LA es
NO C. A. Arévalo-Mercado, E. L. Muñoz-Andrade, H. Cardona-Reyes and M. G. Romero-Juárez, "Applying Cognitive Load Theory and the Split Attention Effect to Learning Data Structures," in IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, vol. 18, no. 1, pp. 107-113, Feb. 2023, doi: 10.1109/RITA.2023.3250580
DS Repositorio institucional de la Universidad de La Laguna
RD 12-nov-2024