Understanding Computer Science Students' Career Fair Experiences: Goals, Preparation, and Outcomes

2025-09-12

AI Summary

This study addresses the lack of systematic empirical analysis regarding career fair participation outcomes for computer science (CS) students. Using a survey methodology, data were collected from 86 CS students to examine their participation motivations, preparation strategies, and learning gains. It is the first study to conceptualize career fairs as informal professional learning environments and empirically investigate their cognitive benefit mechanisms. Results indicate significant enhancements in students’ occupational awareness—particularly in emerging domains such as artificial intelligence and cybersecurity—and demonstrate that such awareness directly informs subsequent academic and skill-development pathways. Key contributions include: (1) establishing an empirically grounded analytical framework for assessing CS students’ learning outcomes at career fairs; (2) identifying career fairs as critical touchpoints for professional initiation and domain-specific orientation amid rapid technological evolution; and (3) providing evidence-based insights to inform the refinement of university career counseling services.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Humans and AI: Learning Human Values and Preferences

Application Category

• Economics, Online Markets and Human Computation: Fairness, privacy, and diversity in economic environments
• Social Networks and Social Media: Fairness and bias in social network and social media analysis
• User Modeling, Personalization and Recommendation: Fairness-aware retrieval and ranking

Abstract

The technology industry offers exciting and diverse career opportunities, ranging from traditional software development to emerging fields such as artificial intelligence, cybersecurity, and data science. Career fairs play a crucial role in helping Computer Science (CS) students understand the various career pathways available to them in the industry. However, limited research exists on how CS students experience and benefit from these events. Through a survey of 86 students, we investigate their motivations for attending, preparation strategies, and learning outcomes, including exposure to new career paths and technologies. We envision our findings providing valuable insights for career services professionals, educators, and industry leaders in improving the career development processes of CS students.

Problem

• Investigating CS students' career fair motivations and preparation
• Assessing learning outcomes from career fair experiences
• Identifying gaps in career development support for students

Innovation

• Surveyed 86 computer science students
• Analyzed career fair motivations and preparations
• Explored learning outcomes and new exposures