Improving student employability by utilising semantic analysis of course data
Conference paper
Dafoulas, G., Barn, B. and Zheng, Y. 2014. Improving student employability by utilising semantic analysis of course data. ICERI 2014 : 7th International Conference of Education, Research and Innovation.
Type | Conference paper |
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Title | Improving student employability by utilising semantic analysis of course data |
Authors | Dafoulas, G., Barn, B. and Zheng, Y. |
Abstract | This paper describes the development of a toolkit based on the semantic analysis of course data using the eXchanging Course Related Information – Course Advertising Profile (XCRI-CAP) information model. Based on the XCRI-CAP 1.2 standard, our research focused on providing the means for semantically comparing course descriptions and curriculum documentation. The paper provides an overview of how the JISC funded MUSAPI (Musket-Salami Project Integration) project resulted in the creation of a web service allowing (i) raising awareness regarding the architecture of job profiles and the employability terminology used in career services, (ii) identifying potential job opportunities for student graduates and/or university applicants, (iii) ranking ‘real’ job opportunities filtered according to a range of criteria and (iv) mapping job opportunities to courses in higher education institutions offering the necessary skills and knowledge. |
Conference | ICERI 2014 : 7th International Conference of Education, Research and Innovation |
Publication dates | |
17 Nov 2014 | |
Publication process dates | |
Deposited | 18 May 2015 |
Output status | Published |
Language | English |
https://repository.mdx.ac.uk/item/8556w
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