Comparing Student and Recruiter Evaluations of Computer Science Resumes-Reference-Cited by-同舟云学术

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Comparing Student and Recruiter Evaluations of Computer Science Resumes

Published:2023-04 Issue:2 Volume:66 Page:130-138
ISSN:0018-9359
Container-title:IEEE Transactions on Education
language:
Short-container-title:IEEE Trans. Educ.

Author:

Petersheim Corbin¹^ORCID,Lahey Joanna²,Cherian Josh¹,Pina Angel¹,Alexander Gerianne³,Hammond Tracy¹

Affiliation:

1. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

2. Department of Public Service and Administration, Texas A&M University, College Station, TX, USA

3. Department of Psychology, Texas A&M University, College Station, TX, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Education

Link

https://ieeexplore.ieee.org/ielam/13/10097507/9873810-aam.pdf

Reference80 articles.

1. The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings.

2. Greek life: Perceptions on campus and in the workplace;freedman,2016

3. De comparatieve beoordelingsmethode voor een betrouwbare en valide cv-screening: een vergelijking tussen experts en studenten

4. CORPORATE HIRING CRITERIA FOR IS GRADUATES

5. Interviewer evaluations of job applicants' resumes as a function of the qualifications of the immediately preceding applicants: An examination of contrast effects.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An ML-based Resume Screening and Ranking System;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

2. “We choose this CV because we choose diversity” – What do eye movements say about the choices recruiters make?;Frontiers in Sociology;2024-03-07

3. A Systematic Analysis of the Gap Between Academia and Industry Perspectives on Machine Learning Applications in Safety-Critical Systems;IEEE Transactions on Education;2024

4. An Advanced Real-Time Job Recommendation System and Resume Analyser;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

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