← Search

Table · dataset · 2026

Supplementary file 1_Digital tools and meaningful learning in Peruvian higher technological education.docx

Listed in figshare

Description

Background<p>Digital tools are increasingly integrated into higher education, yet evidence from Peruvian higher technological education remains limited.</p>Methods<p>We conducted an observational, analytical, cross-sectional study among 153 students from a public technological higher education institute in Callao, Peru. Data were collected in March–April 2025 using simple random sampling. Digital tools were assessed using an overall score and three domains: asynchronous interactive tools, synchronous interactive tools, and didactic resources.

Meaningful learning was analyzed as a continuous score. Spearman correlations and linear regression models with HC3 robust standard errors were used. Multivariable models were adjusted a priori for sex and age group.</p>Results<p>Median digital tools and meaningful learning scores were 94 (IQR: 85–103) and 85 (IQR: 75–96), respectively.

Read the rest (2 more)

Overall digital tools use correlated with meaningful learning (ρ=0.54; p < 0.001) and remained associated after adjustment (aβ=0.52; 95% CI: 0.41–0.64). Synchronous interactive tools showed the strongest independent association (aβ=0.81; 95% CI: 0.50–1.11), followed by didactic resources (aβ=0.46; 95% CI: 0.18–0.75). The association for asynchronous tools was attenuated after adjustment (aβ=0.21; 95% CI: −0.12 to 0.55; p = 0.213).</p>Conclusion<p>Greater digital tool use was associated with higher meaningful learning scores.

Synchronous tools and didactic resources showed independent associations, whereas asynchronous tools did not retain an adjusted association. Longitudinal multicenter studies are needed to confirm these findings.</p>

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
Inferred from text
Longitudinal study 65%
Provenance · 2 source records, 17 field assertions
SourceKeyLast seenRaw
figshareoai:figshare.com:article/3397050413 d agoJSON v1
Loughborough Research Repository · removed upstreamoai:figshare.com:article/3397050412 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:chemistrymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:engineeringmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:humanitiesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:social-sciencemapping · figshare comconnector:figshare_com@1.0.0
concepts[method].local:method:longitudinal-studyenrichment · figshare comkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · figshare comconnector:figshare_com@1.0.0/metadata/dc/description
licensesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/rights
publication_datesource · figshare comconnector:figshare_com@1.0.0
titlesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/title