Evidence map›Paper›PMID 40445897›Full record

ArticlePloS one2025

Interactive, computer-based, and situated design for innovative formative assessment approaches.

Federica Morleo, Pasquale Anselmi, Alessandra Vitanza

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Experiential Learning Through Editorial Practice: ThePharmacy (Basel, Switzerland) · 2026
    Article
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

3 authors.

Federica MorleoUniversity of Padua, Department of Philosophy, Sociology, Education and Applied Psychology (FISPPA), Padova, Italy.ORCID https://orcid.org/0009-0007-0414-1934
Pasquale AnselmiUniversity of Padua, Department of Philosophy, Sociology, Education and Applied Psychology (FISPPA), Padova, Italy.ORCID https://orcid.org/0000-0003-2982-7178
Alessandra VitanzaInstitute of Cognitive Sciences and Technologies, National Research Council (CNR-ISTC), Catania, Italy.ORCID https://orcid.org/0000-0002-7760-8167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social and teamwork skills are essential for today's teachers, yet their assessment in authentic contexts is challenging. This study presents the design, development and validation of an innovative computer-based test, designed to assess collaborative and teamwork skills in preprimary and primary school teachers and referred to as the 'CoTeSt' (Collaborative and Teamwork Skill test). Based on Situated Action Theory, the test immerses participants in realistic team interactions using conversational agents within a narrative framework. Teachers are asked to solve problems, collaborate with virtual colleagues, and provide feedback. The test consists of 20 dichotomously scored items in both multiple-choice and short answer, and it was administered to 139 Italian teachers. Test validation involved qualitative and quantitative methods, confirming that the items actually assess the skills they were assumed to evaluate. Post-test interviews and group discussions highlighted the tool's user-friendly design and its potential to foster self-reflection, professional dialogue, and continuous skill development. The CoTeSt represents a meaningful step toward empowering teachers with critical social skills and fostering a culture of collaboration and growth in education.

Indexed as

Educational MeasurementSchool TeachersAdultCooperative BehaviorFemaleHumansItalyMaleMiddle AgedSocial Skills

Identifiers

PMID40445897
PMCPMC12124497

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.