Engagement in professional tasks with generative AI versus cognitive skills: a case of IT industry in Sri Lanka
| dc.contributor.author | Ranatunga, S | |
| dc.contributor.author | Jayasundara, R | |
| dc.contributor.author | Jayasinghe, B | |
| dc.date.accessioned | 2025-12-18T09:04:35Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The 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.conference | Moratuwa Engineering Research Conference 2025 | |
| dc.identifier.department | Engineering Research Unit, University of Moratuwa | |
| dc.identifier.email | sandani93@gmail.com | |
| dc.identifier.email | ravindij@uom.lk | |
| dc.identifier.email | bimalij@uom.lk | |
| dc.identifier.faculty | Engineering | |
| dc.identifier.isbn | 979-8-3315-6724-8 | |
| dc.identifier.pgnos | pp. 328-333 | |
| dc.identifier.proceeding | Proceedings of Moratuwa Engineering Research Conference 2025 | |
| dc.identifier.uri | https://dl.lib.uom.lk/handle/123/24629 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.subject | Factor Analysis | |
| dc.subject | Multiple linear regression | |
| dc.subject | AI augmented work environment | |
| dc.title | Engagement in professional tasks with generative AI versus cognitive skills: a case of IT industry in Sri Lanka | |
| dc.type | Conference-Full-text |
