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.
Visão geral do estudo
Status
Condições
Intervenção / Tratamento
Descrição detalhada
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 estudo
Inscrição (Estimado)
Contactos e Locais
Contato de estudo
- Nome: Sara Abdullah mohamed, PhD
- Número de telefone: +20 11 51401438
- E-mail: sara.samahi@must.edu.eg
Locais de estudo
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Giza, Egito
- Faculty of Physical Therapy, Misr University for Science and Technology (MUST)
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Contato:
- Sara Abdullah mohamed, PhD
- Número de telefone: +20 11 51401438
- E-mail: sara.samahi@must.edu.eg
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Critérios de participação
Critérios de elegibilidade
Idades elegíveis para estudo
Aceita Voluntários Saudáveis
Gêneros Elegíveis para o Estudo
Método de amostragem
População do estudo
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.
Descrição
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.
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
- Modelos de observação: OTHER
- Perspectivas de Tempo: CROSS_SECTIONAL
Coortes e Intervenções
Grupo / Coorte |
Intervenção / Tratamento |
|---|---|
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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 |
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
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Generative AI Dependency
Prazo: 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 resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
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Cognitive Function
Prazo: 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
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Estimado)
Conclusão Primária (Estimado)
Conclusão do estudo (Estimado)
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Real)
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Outros números de identificação do estudo
- PT. BU. EC. 50
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