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ERIC Number: ED593123
Record Type: Non-Journal
Publication Date: 2018-Jul
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
Job Description Mining to Understand Work-Integrated Learning
Chopra, Shivangi; Golab, Lukasz
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (11th, Raleigh, NC, Jul 16-20, 2018)
Work-integrated learning, also known as co-operative education, allows students to alternate between on-campus classes and off-campus work terms. This provides an enhanced learning experience for students and a talent pipeline for employers. We observe that co-operative job postings are a rich source of information about the required skills, working environment and company culture. We present a text mining methodology to extract and cluster informative terms from unstructured job descriptions, and we demonstrate the utility of our methodology on a co-op job posting corpus from a large North American university. [For the full proceedings, see ED593090.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A