BRAIN. Broad Research in Artificial Intelligence and Neuroscience

Volume: 17 | Issue: 1 | Paper number: 17.

Selective Attention as a Predictor of Learning Capacity: A Correlational Study in Young Adults

Published March 19, 2026
Cite
Teofil Panc - Titu Maiorescu University, Bucharest (RO), Mușata Dacia Bocoș - Babes-Bolyai University, Cluj-Napoca (RO), Cristian Manea - Titu Maiorescu University, Bucharest (RO), Mihaela Neacșu - National University of Science and Technology Politehnica Bucharest (RO), Mona Bădoi-Hammami - Ovidius University of Constanta (RO), Zorica Triff - Technical University of Cluj-Napoca; Northern University Center of Baia Mare (RO), Corina Colareza - Titu Maiorescu University, Bucharest (RO), Gheorghe Mihai Bănariu - Transilvania University of Brașov; Ovidius University of Constanta; Romanian ForensicScientist Association (RO),

Abstract

The present study investigates the relationship between selective attention and learning capacity in young adults, grounded in contemporary cognitive and neuropsychological models of information processing. Selective attention is conceptualised as a central executive mechanism responsible for filtering relevant stimuli and inhibiting interference (Broadbent, 1958; Desimone and Duncan, 1995; Petersen and Posner, 2012). Learning efficiency is conceptualised as dependent on attentional gating processes that regulate encoding and consolidation in working and long-term memory systems (Atkinson and Shiffrin, 1968; Baddeley, 2012; Kandel et al., 2014). Results indicate an exceptionally strong positive association between selective attention and verbal learning performance (r = .97, p < .001). Regression analyses suggest that selective attention accounts for a substantial proportion of variance in learning performance within the present sample. Differential analyses further indicate significant gender and residential environmental differences. These findings provide empirical support for theoretical assumptions regarding the central role of executive attention in facilitating encoding and consolidation processes (Engle, 2002; Miller and Cohen, 2001). Implications are discussed in relation to education, cognitive neuroscience, and cognitive performance optimisation.

Academic discipline and sub-disciplines: Psychology; Neuroscience; Cognitive Sciences

Full Text:

PDF

DOI: http://dx.doi.org/10.70594/brain/17.1/17

Article Overview Video

From our Blog




(C) 2010-2026 EduSoft