Engagement in professional tasks with generative AI versus cognitive skills: a case of IT industry in Sri Lanka

dc.contributor.authorRanatunga, S
dc.contributor.authorJayasundara, R
dc.contributor.authorJayasinghe, B
dc.date.accessioned2025-12-18T09:04:35Z
dc.date.issued2025
dc.description.abstractThe cognitive skills such as problem-solving, critical thinking, analytical skills, attention to detail are critically expected from professionals in the IT industry due to its competitive environment. AI technologies rapidly become integrated across the IT sector as in various other sectors. This study focuses to investigate the impact on critical cognitive competencies by using generative AI in their professional assignments. 177 responses were collected through a structured web-based questionnaire which was developed focusing the IT industry. The research methodology encompassed selecting a representative sample, reliability analysis, factor analysis, and multiple linear regression. The results reveal that Generative AI significantly improves problem solving and analytical capabilities by automating routine tasks and providing sophisticated data insights. This automation allows IT professionals to focus on more complex cognitive tasks, thereby promoting innovation and efficiency. Nevertheless, the study also highlights potential drawbacks, such as an overreliance on AI for critical thinking, which may hinder the development of independent analytical abilities and decrease attention to detail. The study underscores the importance of continuous learning and adaptability for IT professionals to remain relevant in an AI-augmented work environment. It advocates for a balanced approach where AI technologies augment but do not replace essential human cognitive skills.
dc.identifier.conferenceMoratuwa Engineering Research Conference 2025
dc.identifier.departmentEngineering Research Unit, University of Moratuwa
dc.identifier.emailsandani93@gmail.com
dc.identifier.emailravindij@uom.lk
dc.identifier.emailbimalij@uom.lk
dc.identifier.facultyEngineering
dc.identifier.isbn979-8-3315-6724-8
dc.identifier.pgnospp. 328-333
dc.identifier.proceedingProceedings of Moratuwa Engineering Research Conference 2025
dc.identifier.urihttps://dl.lib.uom.lk/handle/123/24629
dc.language.isoen
dc.publisherIEEE
dc.subjectFactor Analysis
dc.subjectMultiple linear regression
dc.subjectAI augmented work environment
dc.titleEngagement in professional tasks with generative AI versus cognitive skills: a case of IT industry in Sri Lanka
dc.typeConference-Full-text

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