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.
Descripción general del estudio
Estado
Condiciones
Intervención / Tratamiento
Descripción detallada
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.
Tipo de estudio
Inscripción (Estimado)
Contactos y Ubicaciones
Estudio Contacto
- Nombre: Sara Abdullah mohamed, PhD
- Número de teléfono: +20 11 51401438
- Correo electrónico: sara.samahi@must.edu.eg
Ubicaciones de estudio
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Giza, Egipto
- Faculty of Physical Therapy, Misr University for Science and Technology (MUST)
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Contacto:
- Sara Abdullah mohamed, PhD
- Número de teléfono: +20 11 51401438
- Correo electrónico: sara.samahi@must.edu.eg
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
Acepta Voluntarios Saludables
Géneros elegibles para el estudio
Método de muestreo
Población de estudio
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.
Descripción
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 de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Modelos observacionales: OTHER
- Perspectivas temporales: CROSS_SECTIONAL
Cohortes e Intervenciones
Grupo / Cohorte |
Intervención / Tratamiento |
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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 |
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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Generative AI Dependency
Periodo de tiempo: 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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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Cognitive Function
Periodo de tiempo: At enrollment (single assessment)
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Assessed using standardized self-reported or validated neuropsychological instruments focusing on specific domains such as attention, memory, and executive function. |
At enrollment (single assessment)
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Colaboradores e Investigadores
Patrocinador
Investigadores
- Investigador principal: Sara Abdullah mohamed, PhD, Lecturer, MUST University
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Estimado)
Finalización primaria (Estimado)
Finalización del estudio (Estimado)
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Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Actual)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Otros números de identificación del estudio
- PT. BU. EC. 50
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
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