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<channel rdf:about="https://hdl.handle.net/10481/2677">
<title>Departamento de Psicología Evolutiva y de la Educación</title>
<link>https://hdl.handle.net/10481/2677</link>
<description/>
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<rdf:li rdf:resource="https://hdl.handle.net/10481/112732"/>
<rdf:li rdf:resource="https://hdl.handle.net/10481/111816"/>
<rdf:li rdf:resource="https://hdl.handle.net/10481/111691"/>
<rdf:li rdf:resource="https://hdl.handle.net/10481/111689"/>
<rdf:li rdf:resource="https://hdl.handle.net/10481/111641"/>
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<dc:date>2026-04-20T15:08:28Z</dc:date>
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<item rdf:about="https://hdl.handle.net/10481/112732">
<title>Associations Between Coping Strategies and Gambling Disorders in University Students: An Exploratory Neural Network Study</title>
<link>https://hdl.handle.net/10481/112732</link>
<description>Associations Between Coping Strategies and Gambling Disorders in University Students: An Exploratory Neural Network Study
Giménez Lozano, José Miguel; Morales Rodríguez, Francisco Manuel; Martínez Ramón, Juan Pedro
Background: Gambling disorders are an escalating public health issue, with notable increases across age groups, particularly among adolescents and young adults. This study examines the role of coping strategies in gambling behaviors among university students aged 17–48 years and explores the prediction potential of artificial neural networks. Methods: The sample included 218 participants (M = 21.89, SD = 5.57). Results: A multilayer perceptron neural network was implemented to classify gambling risk based on coping strategies. Significant correlations between specific coping strategies and higher levels of gambling disorders were revealed. The neural network model demonstrated an 85% accuracy in predicting gambling risk, with the most influential factors identified as autonomy, negative urgency, gender, denial, and lack of perseverance. Conclusions: These findings highlight the effectiveness of neural networks in identifying individuals most at risk for GDs.
</description>
</item>
<item rdf:about="https://hdl.handle.net/10481/111816">
<title>Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes</title>
<link>https://hdl.handle.net/10481/111816</link>
<description>Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes
Gómez Sánchez, Jesica; Gordo, Cristina; Franklin, Matija; Fernández Basso, Carlos; Lagnado, David
This study aims to explore how adults assign responsibility to different agents-both Artificial Intelligence (AI) systems and human&#13;
beings-in the context of an airplane crash, based on factors of criticality and pivotality. Criticality is related to the perceived importance of an agent’s actions in achieving an outcome (prospective judgements), while pivotality examines the degree to which the agent’s actions contributed to the actual outcome (retrospective judgements). Our results replicate previous findings, demonstrating that participants are sensitive to both factors. They rate agents involved in a conjunctive structure as more critical&#13;
than those in a disjunctive one. Similarly, agents are held more responsible when their errors are completely pivotal to the crash. Interestingly, participants attribute more responsibility to human beings than to AI systems, but this trend is only observed in trials where the pivotality is reduced.
</description>
</item>
<item rdf:about="https://hdl.handle.net/10481/111691">
<title>Writing intervention: A comprehensive program for primary school children</title>
<link>https://hdl.handle.net/10481/111691</link>
<description>Writing intervention: A comprehensive program for primary school children
Martínez Iniesta, Antonio José; Serrano Chica, Francisca
This article describes an intervention program to improve writing skills, intended to be a useful tool for everyday remedial work in primary school. The design was based on an initial review of the approaches most often used for writing intervention and identification of the main concerns for such intervention; namely, the use of direct and explicit instructions, the importance of feedback, recommended levels of intervention, the main content to consider, and use of motivating activities to get the student engaged or even to enjoy the intervention. All these considerations guided decision making about the appropriate features that would ensure an effective intervention in children with general and specific writing difficulties. The intervention program follows evidence-based practice strategies and may be useful for educational professionals in primary school, acknowledging that the program needs to be experimentally evaluated.
</description>
</item>
<item rdf:about="https://hdl.handle.net/10481/111689">
<title>Responsibility attribution about mechanical devices by children and adults</title>
<link>https://hdl.handle.net/10481/111689</link>
<description>Responsibility attribution about mechanical devices by children and adults
Gordo Gordo, Cristina; Gómez Sánchez, Jesica; Moreno Ríos, Sergio
We investigated the causal responsibility attributions of adults and children to mechanical devices in the framework of the criticality-pivotality model. It establishes that, to assign responsibility, people consider how important a target is to reaching a positive outcome (criticality) and how much the target contributed to the actual outcome (pivotality). We also tested theoretical predictions about relations between the development of counterfactual thinking and assessments of pivotality. In Experiment 1, we replicated previous findings in adults using our task. In Experiment 2, we administered this task and a brief counterfactual reasoning questionnaire to children aged between 8 and 13 years. Results showed that children also considered both criticality and pivotality when they attributed responsibility. However, older children were more sensitive than younger ones to pivotality. Also, we found a positive correlation between children’s pivotality judgements and a measure of counterfactual thinking. Results are discussed regarding the model’s relation to counterfactual thinking.
This research was funded by the Spanish Government, Ministry of Economy and Competitiveness (PGC2018-095868-B-I00) and by the Junta de Andalucía -Conserjería de Universidad, Investigación e Innovación - Project (P21_00073).
</description>
</item>
<item rdf:about="https://hdl.handle.net/10481/111641">
<title>Health-related behaviors and family quality of life in autism spectrum disorders: A systematic review and meta-analysis</title>
<link>https://hdl.handle.net/10481/111641</link>
<description>Health-related behaviors and family quality of life in autism spectrum disorders: A systematic review and meta-analysis
Garrido del Águila, Dunia; Pérez Gómez, María Del Mar; Petrova, Dafina; Catena Martínez, Andrés; García Retamero Imedio, María Del Rocío
Health-related behaviors —including sleep quality, physical-activity level, screen time, and &#13;
mealtime behavior —, are often disrupted in children with Autism Spectrum Disorder (ASD), and &#13;
may be associated with a lower family quality of life (FQoL). This systematic review and meta- &#13;
analysis evaluated these associations, recognizing the central role that daily health habits may &#13;
play in shaping FQoL. A registered protocol in PROSPERO (CRD42023408500) guided a &#13;
comprehensive search across seven electronic databases and grey literature sources, yielding 12 &#13;
eligible studies that included 6373 families of children with ASD who were evaluated on health- &#13;
related behaviors and FQoL. Publication bias was assessed. Moderate correlations were found &#13;
between FQoL and sleep problems (k = 6,r = &#13;
.36, p &lt; .001), and moderate positive correla&#13;
tions with screen-time (k = 3, r = .34, p &lt; .05). Physical activity showed no significant pooled &#13;
association with FQoL (k = 4,r = .14,p = .49) despite substantial heterogeneity. Mealtime &#13;
behavior showed a negative association in a single study (k = 1, r = &#13;
0.25). Future research &#13;
should clarify the directionality of these associations and examine how multiple health-related &#13;
behaviors may interact to influence FQoL. Targeted interventions addressing specific health- &#13;
related behaviors could enhance existing approaches for improving FQoL in families of chil&#13;
dren with ASD.
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