Analysis of Perceptions on Key Competencies in Research Activities Required for Future Science and Technology Professionals: A Case Study of Students at Institute of Science and Technology

Objectives This study aimed to investigate the importance and satisfaction of key competencies at each stage of research activities required for prospective science and technology professionals, with the objective of deriving improvement suggestions for tailored research programs. Methods For this purpose, a survey was conducted among 100 students from K University, a specialized science and technology university, who volunteered to participate. Based on their experience in research programs, the survey identified the perceived differences in importance and satisfaction of the key competencies required at each stage of research activities. Results The analysis revealed that in the problem identification stage, key competencies to be prominently cultivated included diverse experiences and specialized knowledge, as well as differentiation strategies in research. In the preparation stage, emphasis was placed on establishing human and material networks and acquiring knowledge related to research. The idea generation stage highlighted the need for various method proposals and the integration of heterogeneous information. In the idea validation stage, rigorous validity review, honesty, objectivity, meticulous and rational thinking were identified as crucial competencies. In the idea execution stage, competencies such as time management and resilience to failure were emphasized. Finally, in the utilization stage of the output, the cultivation of competencies like the application of developed knowledge and the restructuring and reuse of knowledge and methods were deemed pivotal. Conclusions This study is significant as it provides practical directions for cultivating the competencies needed for research activities among students at specialized science and technology universities and for improving research programs. It is expected to serve as foundational data for future research program operation improvements.