Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Briana, Limon, Samantha, Chen, Alyssia, Ka'aiakamanu-Quibilan, Kenny, Peruma, Anthony
Format:	Preprint
Published:	2025
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
by: Chen, Alyssia, et al.
Published: (2024)

PasteTrace: A Single Source Plagiarism Detection Tool For Introductory Programming Courses
by: McDonald, Jesse, et al.
Published: (2025)

The Impact of Generative AI-Powered Code Generation Tools on Software Engineer Hiring: Recruiters' Experiences, Perceptions, and Strategies
by: Chen, Alyssia, et al.
Published: (2024)

Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
by: Chen, Alyssia, et al.
Published: (2025)

Integrating Large Language Models and Evaluating Student Outcomes in an Introductory Computer Science Course
by: Vadaparty, Annapurna, et al.
Published: (2025)

IT Students Career Confidence and Career Identity During COVID-19
by: McKenzie, Sophie
Published: (2025)

BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2025)

ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
by: Xiao, Yunze, et al.
Published: (2024)

Social Capital and Persistence in Computer Science of Google's Computer Science Summer Institute (CSSI) Students
by: Naghshbandi, Marjan, et al.
Published: (2024)

Exploring the Factors of "AI Guilt" Among Students -- Are You Guilty of Using AI in Your Homework?
by: Chan, Cecilia Ka Yuk
Published: (2024)

Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2026)

Assessing Computer Science Student Attitudes Towards AI Ethics and Policy
by: Weichert, James, et al.
Published: (2025)

Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals
by: Mehlan, Ronja, et al.
Published: (2025)

The Impact of Live Polling Quizzes on Student Engagement and Performance in Computer Science Lectures
by: Zhao, Xingyu
Published: (2023)

Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds
by: Kalhor, Ghazal, et al.
Published: (2023)

Job Anxiety in Post-Secondary Computer Science Students Caused by Artificial Intelligence
by: Farooqi, Daniyaal, et al.
Published: (2026)

Proxy Discrimination After Students for Fair Admissions
by: Fagan, Frank
Published: (2025)

Students Know AI Should Not Replace Thinking, but How Do They Regulate It? The TACO Framework for Human-AI Cognitive Partnership
by: Chan, Cecilia Ka Yuk
Published: (2026)

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
by: Khan, Javed Ali, et al.
Published: (2025)

Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta
by: Oladimeji, Ganiyu
Published: (2024)

Improving Graduate Outcomes by Identifying Skills Gaps and Recommending Courses Based on Career Interests
by: Soni, Rahul, et al.
Published: (2025)

Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
by: Scarlatos, Alexander, et al.
Published: (2025)

Integrating ChatGPT in a Computer Science Course: Students Perceptions and Suggestions
by: Aruleba, Kehinde, et al.
Published: (2023)

Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2025)

Preparing Students for College and Careers
Published: (2025)

How Jungian Cognitive Functions Explain MBTI Type Prevalence in Computer Industry Careers
by: VarastehNezhad, Arya, et al.
Published: (2025)

Cybersecurity as a Crosscutting Concept Across an Undergrad Computer Science Curriculum: An Experience Report
by: Nadeem, Azqa
Published: (2023)

Generative AI in Computer Science Education: Accelerating Python Learning with ChatGPT
by: McCulloh, Ian, et al.
Published: (2025)

AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals
by: Aher, Gati, et al.
Published: (2025)

Cost-of-Ethics Crisis: Beliefs, Decisions, and Justifications in the Job Searches of Computer Science Students in Canada and the United States
by: Abdalla, Mohamed, et al.
Published: (2026)

Understanding Computational Science and Engineering (CSE) and Domain Science Skills Development in National Laboratory Postgraduate Internships
by: Fong, Morgan M., et al.
Published: (2025)

Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument
by: Chan, Cecilia Ka Yuk, et al.
Published: (2023)

GESD: Beyond Outcome-Oriented Fairness
by: Popoola, Gideon, et al.
Published: (2026)

Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation
by: Peng, Kenny, et al.
Published: (2024)

Evolution of Research Method Usage Across the Academic Careers of Library and Information Science Scholars
by: Hao, Jiayi, et al.
Published: (2026)

The Impact of Group Discussion and Formation on Student Performance: An Experience Report in a Large CS1 Course
by: Wu, Tong, et al.
Published: (2024)

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
by: Yang, Xinming, et al.
Published: (2025)

The Three Axes of Success: A Three-Dimensional Framework for Career Decision-Making
by: Chen, Meng-Chi
Published: (2026)

Dynamical Model for the Sustainable Development Goals
by: García-Rodríguez, Alberto, et al.
Published: (2026)

The DataSquad Experiment: Lessons for Preparing Data and Computer Scientists for Work
by: Lackie, Paula, et al.
Published: (2025)