The Impact of Generative Artificial Intelligence Dependency on Cognitive Function of University Students: A Cross-Sectional Study.
This observational cross-sectional study aims to investigate the relationship between dependence on generative artificial intelligence (AI) tools and cognitive functioning among university students.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
The increasing integration of generative artificial intelligence (GenAI) into higher education has transformed how university students access information, understand academic concepts, and complete learning activities. Although these technologies offer educational benefits, excessive dependence on AI-generated responses may be associated with cognitive offloading and reduced engagement in independent thinking and problem-solving.
This study aims to examine the association between generative AI dependency and cognitive functioning among university students, with particular attention to cognitive domains such as attention, memory, and executive functioning.
An observational cross-sectional design will be employed. Eligible university students aged 18-25 years will be invited to participate voluntarily through online announcements and electronic survey links. Informed consent will be obtained before data collection.
Participants will complete a structured online questionnaire collecting demographic and academic information, patterns of generative AI use, dependency-related responses, and measures of cognitive functioning.
The collected data will be analyzed using descriptive statistics, correlation analysis, and regression analysis to explore the relationship between AI dependency and cognitive functioning.
As this is a cross-sectional observational study, the results will identify possible associations but will not establish a causal relationship between generative AI dependency and changes in cognitive functioning.
The findings may contribute to understanding the educational implications of generative AI dependency and inform future research and teaching strategies promoting responsible AI use.
Type d'étude
Inscription (Estimé)
Contacts et emplacements
Coordonnées de l'étude
- Nom: Sara Abdullah mohamed, PhD
- Numéro de téléphone: +20 11 51401438
- E-mail: sara.samahi@must.edu.eg
Lieux d'étude
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Giza, Egypte
- Faculty of Physical Therapy, Misr University for Science and Technology (MUST)
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Contact:
- Sara Abdullah mohamed, PhD
- Numéro de téléphone: +20 11 51401438
- E-mail: sara.samahi@must.edu.eg
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-
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
Méthode d'échantillonnage
Population étudiée
The study population will include university students aged 18-25 years who use generative artificial intelligence (AI) tools for academic or daily activities. Eligible participants will be recruited from selected universities through electronic announcements, institutional emails, and online survey links. Participation will be voluntary, and informed consent will be obtained before completing the questionnaires assessing generative AI dependency and cognitive functioning.
La description
Inclusion Criteria:
- Enrolled undergraduate or graduate university students.
- Active users of digital devices and generative AI tools for academic or daily tasks.
- Ages between 18 and 25 years.
- Provided informed consent to participate in the study.
Exclusion Criteria:
- Diagnosed neurological or psychiatric disorders known to affect cognitive function.
- History of severe traumatic brain injury.
- Concurrent use of central nervous system-active medications that significantly alter cognitive performance.
- Incomplete questionnaire submissions.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Modèles d'observation: OTHER
- Perspectives temporelles: CROSS_SECTIONAL
Cohortes et interventions
Groupe / Cohorte |
Intervention / Traitement |
|---|---|
|
University Students
This cohort will include university students aged 18-25 years who use generative artificial intelligence (AI) tools. Participants will complete self-administered questionnaires assessing their level of generative AI dependency and cognitive functioning. Data will be collected at a single point in time to examine the association between these variables. No intervention will be administered. |
No Intervention: Observational Cohort |
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Generative AI Dependency
Délai: At enrollment (single assessment)
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Measured via a validated Generative AI Dependency Scale or Questionnaire. |
At enrollment (single assessment)
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Cognitive Function
Délai: At enrollment (single assessment)
|
Assessed using standardized self-reported or validated neuropsychological instruments focusing on specific domains such as attention, memory, and executive function. |
At enrollment (single assessment)
|
Collaborateurs et enquêteurs
Les enquêteurs
- Chercheur principal: Sara Abdullah mohamed, PhD, Lecturer, MUST University
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Estimé)
Achèvement primaire (Estimé)
Achèvement de l'étude (Estimé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Autres numéros d'identification d'étude
- PT. BU. EC. 50
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Étudie un produit d'appareil réglementé par la FDA américaine
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