Preparing Next-Gen Trailblazers: An EFA-Driven Investigation of Problem-Solving Skills of Employability in Computer Science Graduates

The purpose of this study was to pinpoint the underlying variables that influence problem-solving abilities in computer science graduates. An exhaustive examination of the literature, the gathering of data via surveys, and Exploratory Factor Analysis (EFA) were all components of the three-stage research technique. The survey includes 562 computer science graduates from various institutions and universities in India. Problem-solving skills were the subject of an EFA on 31 statements, and the results revealed a five-factor structure that accounted for 78.126% of the overall variation. The identified factors were of Impulsive Style, Planning and Monitoring, Problem-Solving Confidence, Reflective Style, and Avoidance Style. Reliability analysis using Cronbach’s alpha revealed satisfactory internal consistency for each factor, with values ranging from.848 to.933. These results offer a thorough grasp of the fundamental elements of problem-solving abilities, which may be applied to the creation of focused interventions and training courses to improve problem-solving skills in computer science graduates.