Evidence map›Paper›PMID 40351601›Full record

ArticleFrontiers in psychology2025

EuleApp©: a computerized adaptive assessment tool for early literacy skills.

Melike Yumus, Christina Stuhr, Marlene Meindl, Haug Leuschner, Tanja Jungmann

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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

5 authors.

Melike YumusDepartment of Special Needs Education and Rehabilitation, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Christina StuhrFaculty of Philosophy, Institute for Sports Science, University of Rostock, Rostock, Germany.
Marlene MeindlDepartment of Special Education and Rehabilitation, University of Rostock, Rostock, Germany.
Haug LeuschnerDHL Data Science Seminare GmbH, Köln, Germany.
Tanja JungmannDepartment of Special Needs Education and Rehabilitation, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ample evidence indicates that assessing children's early literacy skills is crucial for later academic success. This assessment enables the provision of necessary support and materials while engaging them in the culture of print and books before school entry. However, relatively few assessment tools are available to identify early literacy skills, such as concepts of print, print awareness, phonological awareness, word awareness, alphabet knowledge, and early reading. The digital landscape presents new opportunities to enhance these assessments and provide enriching early literacy experiences. This study examines the psychometric properties of an adaptive assessment tool, EuLeApp©, focusing on its reliability and concurrent validity. Methods: Data involved 307 German kindergarten children (M Results: The 4-parameter Logistic (4PL) model was identified as the best-fitting model for adaptive assessment, providing the highest precision in estimating children's abilities within this framework. Discussions: The findings support the idea that the adaptive digital-based assessment tool EuLeApp© can be used to assess early literacy skills. It also provides a foundation for offering individualized and adaptable learning opportunities embedded in daily routines in daycare centers.

Indexed as

computerized adaptive testdigital assessmentearly literacyitem response theorypreschool agepsychometric validation

Identifiers

PMID40351601
PMCPMC12062173

What Socratic holds

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LicenceCC BY
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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 Socratic graph.