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@article{187898,
        author = {Dr.Tejaswini Jitendra Tambe},
        title = {“Association of Cognitive Load and Cognitive Fatigue in Artificial Intelligence Dependent Research Scholars”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7047-7055},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187898},
        abstract = {The increasing use of Artificial Intelligence (AI) in academia has transformed research methodologies, especially among Ph.D. scholars. This observational study examines the link between cognitive fatigue and cognitive load in scholars who rely on AI for their research. Data were gathered from 100 Ph.D. students with at least two years of research experience and proven AI dependency using the NASA-TLX and Chalder Fatigue Scales. The results showed that the participants had a high cognitive workload and fatigue, with a weak and statistically insignificant association (r = 0.088, p = 0.476) between the two factors. These findings highlight the necessity of integrating fair AI integration with mental health assistance in academic settings.},
        keywords = {Cognitive Load, Cognitive Fatigue, Artificial Intelligence, NASA-TLX, Chalder Fatigue Scale, Ph.D Scholars, Mental Health},
        month = {November},
        }