Enhancing Lecturers’ Scientific Research Practices Through an AI-Based Training Program
Abstract
This policy paper presents evidence-based recommendations for integrating AI tools into academic research, drawing on a study that examined the impact of an AI-based training program at the University of Technology and Applied Sciences (UTAS). The study demonstrated that AI tools significantly enhance research efficiency, boost lecturers’ motivation, and promote ethical AI practices. Using a quasi-experimental design, qualitative interviews were conducted with 15 lecturers to explore their perceptions of the training. The results indicated that AI tools significantly enhanced research efficiency by facilitating research processes and improving the quality of research outputs. Additionally, the training program increased lecturers’ research motivation by reducing anxiety, building confidence, and fostering team collaboration. It also influenced lecturers’ understanding of ethical AI usage, encouraging the responsible application of AI tools and adherence to ethical guidelines. These findings highlighted the transformative role of AI in academic research and the importance of integrating AI-focused professional development programs into higher education.
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AI-based trainingResearch practicesHigher educationProfessional development
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https://orcid.org/0000-0003-1809-4909