Evidence map›Paper›PMID 41646530›Full record

ArticleData in brief2026

Survey data on students' perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning.

Diego Calderón-Garrido, Carles Lindín, Lluís Parcerisa

Abstract read
In one paragraph

Article in Data in brief, 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

3 authors.

Diego Calderón-GarridoUniversitat de Barcelona, Spain.
Carles LindínUniversitat de Barcelona, Spain.
Lluís ParcerisaUniversitat de Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article describes the dataset from the project ``Teacher Mediation in the Integration of Learning Analytics and Artificial Intelligence in Compulsory Secondary Education: Evidence, Strategies, and Practices for the Personalization of Education'' (MedIAP). The aim of this research project is to analyse students' perceptions, knowledge, and use of Learning Analytics (LA) and Generative Artificial Intelligence (GenAI) for the personalization of learning in compulsory secondary education in Catalonia. Data were collected through an online survey, resulting in a final sample of 982 secondary education students. The description of the dataset in this article is structured in two main parts. The first provides a descriptive analysis of all survey items, presented using tables and figures. The second focuses on the construction of measurement scales, developed through Confirmatory Factor Analysis (CFA) and Multigroup Confirmatory Factor Analysis (MG-CFA). This dataset will be of interest to researchers across various disciplines, particularly those focused on Learning Analytics and Artificial Intelligence in educational contexts.

Indexed as

Digital educationEducational technologySecondary educationSurvey data

Identifiers

PMID41646530
PMCPMC12870792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.