Evidence map›Paper›PMID 42792433›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Digital Artifacts in Education: How Design Properties Are Associated with Self-Regulated Learning, Participation, and Performance.

Ahmad Almufarreh

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ahmad AlmufarrehDepartment of Educational Sciences, College of Arts and Humanities, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0002-9083-2876

Funding

Jazan University JU-RSP2026
6 · The paper itself

Abstract

Digital artifacts are preferred by both students and instructors to achieve various educational goals; yet the understanding of how digital artifacts and their properties are associated with academic development remains insufficient. Such understanding is also important as the design, modification, and use of digital artifacts, such as infographics, videos and illustrations, support both learners and instructors. Thus, drawing on the theory of semiotic mediation, this study examines how three core properties of digital artifacts, i.e., design, elaborateness, and semantic ability, are associated with learner outcomes through self-regulated learning, student participation, individual innovativeness, and learning continuance. Digital artifacts are conceptualized broadly to include conventional digital resources. Data were collected from 350 university students in Saudi Arabia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that design, elaborateness, and semantic ability are positively associated with both self-regulated learning and student participation. Such understanding, in turn, is associated with individual innovativeness, which is positively associated with learning continuance and learner performance. The results suggest that the educational value of digital artifacts depends not only on their technological availability but also on how their design characteristics support learners' regulation, participation, experimentation, and sustained engagement. The study extends the application of semiotic mediation theory to contemporary digital learning environments and provides a behavioral explanation of how digital artifact properties are associated with academic development.

Indexed as

artificial intelligencedigital artifactsindividual innovativenesslearner performancelearning continuanceself-regulated learningsemiotic mediationstudent participation

Identifiers

PMID42792433
PMCPMC13603656

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.