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Unveiling Neurocognitive Disparities in Encoding and Retrieval between Paper and Digital Tablet-Based Learning.

Authors :
Lee SA
Hong JH
Kim NY
Min HM
Yang HM
Lee SH
Choi SJ
Park JH
Source :
Brain sciences [Brain Sci] 2024 Jan 12; Vol. 14 (1). Date of Electronic Publication: 2024 Jan 12.
Publication Year :
2024

Abstract

The widespread use of mobile devices and laptops has replaced traditional paper-based learning and the question of how the brain efficiency of digital tablet-based learning differs from that of paper-based learning remains unclear. The purpose of this study was to investigate the difference in brain efficiency for learning between paper-based and digital tablet-based learning by measuring activity in the prefrontal cortex (PFC) using functional near-infrared spectroscopy. Thirty-two subjects were randomly assigned to the paper-based learning or the digital tablet-based learning group. Subjects in each group performed a memory task that required memorizing a three-minute novel (encoding phase) on a paper or digital tablet, followed by a test in which they answered four multiple-choice questions based on the novel's content. To compare both groups, behavioral performance on the test (retrieval phase) and activity in the PFC were measured. As a result, no significant difference in behavioral performance between both groups was observed ( p > 0.05). However, the paper-based learning group showed significantly lower activity in the PFC in the encoding phase than the digital tablet-based learning group ( p < 0.05) but not in the retrieval phase. The current study demonstrated that brain efficiency in encoding is higher in subjects with paper-based learning than those with digital tablet-based learning. This finding has important implications for education, particularly in terms of the pros and cons of electronic document-based learning.

Details

Language :
English
ISSN :
2076-3425
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Brain sciences
Publication Type :
Academic Journal
Accession number :
38248291
Full Text :
https://doi.org/10.3390/brainsci14010076