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ERIC Number: EJ1196750
Record Type: Journal
Publication Date: 2018
Pages: 14
Abstractor: As Provided
ISSN: EISSN-2538-1032
Using Data Mining Methods for Research in Co-Operative Education
Chopra, Shivangi; Golab, Lukasz; Pretti, T. Judene; Toulis, Andrew
International Journal of Work-Integrated Learning, v19 n3 p297-310 2018
This paper describes two classes of advanced data mining methods that can obtain actionable insight from cooperative education data: text mining of job descriptions and graph mining of job interview data. While these methods are not new in general, they have not been widely used in co-operative education research. A technical overview of each method is provided, followed by a case study using real data from a large North American university. The case study illustrates that the proposed methods can enable students, employers and institutions to make better data-driven decisions. For example, text mining of job descriptions can reveal sought-after skills while graph mining of interview relationships can characterize the extent of competition for jobs.
New Zealand Association for Cooperative Education. University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand. Tel: +64-7-838-4892; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A