NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1458255
Record Type: Journal
Publication Date: 2025-Feb
Pages: 29
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1052-5629
EISSN: EISSN-1552-6658
Leveraging Generative Artificial Intelligence (AI) for Human Resource Management: The AI Job Description Assignment
Dayna O. H. Walker; Milan Larson
Journal of Management Education, v49 n1 p113-141 2025
The introduction of generative artificial intelligence (AI) technology is rapidly changing the field of human resource management (HRM). Management educators are called to prepare students for the opportunities and challenges this new technology will bring. Thus, our aim is to provide management educators with an assignment to introduce students to the opportunities and limitations of using generative AI for writing job descriptions. The AI Job Description Assignment invites students to leverage generative AI to write a first draft job description and then refine that initial draft using information obtained from a mini-job analysis conducted with real people. The assignment exposes students to a new technology while simultaneously reinforcing the age-old importance of including job incumbents in the process through job analysis interviews or surveys. Students learn both the benefits and limitations of generative AI while re-imagining a traditional HRM method. A how-to guide is provided for instructors along with quantitative and qualitative evidence of effectiveness.
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://bibliotheek.ehb.be:2993
Publication Type: Journal Articles; Reports - Descriptive; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A