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. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
14 authors.
Dana RadCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.ORCID 0000-0001-6754-3585
Alina RomanCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Anca EgerăuCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Sonia IgnatCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Evelina BalașCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.ORCID 0000-0001-7491-8904
Tiberiu DughiCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Mușata BocoșFaculty of Psychology and Educational Sciences, Babeş-Bolyai University of Cluj-Napoca, 400029 Cluj-Napoca, Romania.ORCID 0000-0002-8108-7931
Daniel MaraFaculty of Social Sciences and Humanities, "Lucian Blaga" University of Sibiu, 550024 Sibiu, Romania.ORCID 0000-0002-1211-1504
Elena-Lucia MaraFaculty of Social Sciences and Humanities, "Lucian Blaga" University of Sibiu, 550024 Sibiu, Romania.ORCID 0000-0002-5390-9379
Alina CostinCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.ORCID 0000-0002-5305-9183
Radiana MarcuCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Corina Costache ColarezaFaculty of Communication Sciences and International Relations, "Titu Maiorescu" University, 040441 Bucharest, Romania.ORCID 0009-0000-0749-6115
Claudiu ComanFaculty of Sociology and Communication, Transilvania University of Brașov, 500036 Brașov, Romania.ORCID 0000-0001-6272-7414
Gavril RadCenter of Research Development and Innovation in Psychology, Faculty of Educational Sciences Psychology and Social Sciences, Aurel Vlaicu University of Arad, 310032 Arad, Romania.
Funding
"Aurel Vlaicu" University of Arad UAV-IRG-1-2025-6
6 · The paper itself
Abstract
Drawing on digital agency theory, expectancy-value frameworks, and self-regulated learning perspectives, this study proposes and tests a moderated mediation model explaining students' intentions to use AI. Using data from 673 university students, we examined whether sense of positive agency (SOPA) predicts intention to use AI indirectly through perceived value and perceived benefits of AI, and whether these pathways are conditionally shaped by sense of negative agency (SONA). Conditional process analysis (PROCESS Model 59) showed that SOPA had no direct effect on intention to use AI (b = 0.013,
Indexed as
artificial intelligencedigital agencyhigher educationintention to use AImoderated mediationperceived benefitsperceived valuestudents
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.
Empowered or Constrained? Digital Agency, Ethical Implications, and Students' Intentions to Use Artificial Intelligence. · full record | OpenQuestion