TY - JOUR
T1 - LCREC
T2 - Learning content recommendation (wiki-based skill book)
AU - Chootong, Chalothon
AU - Shih, Timothy K.
AU - Ochirbat, Ankhtuya
AU - Sommool, Worapot
AU - Gunarathne, W. K.T.M.
AU - Chang, Carl K.
N1 - Publisher Copyright:
© 2019 Taiwan Academic Network Management Committee. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Knowledge skills in the ICT-industry always evolve. With the vast variety of jobs available, it is unlikely to educate students with skills to fit every job-requirement. This issue inspired us to develop the Learning Content Recommender (LCRec) for students to find appropriate learning contents based on required job-skills. In order to bridge the required skill for industry and academia, we have to work on IT job-skills and the Computer Science Curriculum 2013 (CS2013). Skills from 48 publicly available job searching websites are used to investigate what the industry needs. We carried out experiments among professionals, academics, and students to test the usefulness of LCRec, and evaluated the feedbacks. LCRec successfully used Knowledge Units from CS2013, Wikipedia, and essential skills from job hunting websites, to benefit entry-level job seekers for finding necessary learning contents to study. It is also convenient for academics to look at the skills needed in industries, and to consider enhancing the curriculum with new skills. The study result demonstrated that it is possible to bridge the gap (what learning contents are lacking) between the academia and the industry.
AB - Knowledge skills in the ICT-industry always evolve. With the vast variety of jobs available, it is unlikely to educate students with skills to fit every job-requirement. This issue inspired us to develop the Learning Content Recommender (LCRec) for students to find appropriate learning contents based on required job-skills. In order to bridge the required skill for industry and academia, we have to work on IT job-skills and the Computer Science Curriculum 2013 (CS2013). Skills from 48 publicly available job searching websites are used to investigate what the industry needs. We carried out experiments among professionals, academics, and students to test the usefulness of LCRec, and evaluated the feedbacks. LCRec successfully used Knowledge Units from CS2013, Wikipedia, and essential skills from job hunting websites, to benefit entry-level job seekers for finding necessary learning contents to study. It is also convenient for academics to look at the skills needed in industries, and to consider enhancing the curriculum with new skills. The study result demonstrated that it is possible to bridge the gap (what learning contents are lacking) between the academia and the industry.
KW - Auto generated contents
KW - Computer science curriculum 2013
KW - Knowledge management
KW - Learning content recommendation
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=85077207372&partnerID=8YFLogxK
U2 - 10.3966/160792642019102006007
DO - 10.3966/160792642019102006007
M3 - 期刊論文
AN - SCOPUS:85077207372
SN - 1607-9264
VL - 20
SP - 1753
EP - 1766
JO - Journal of Internet Technology
JF - Journal of Internet Technology
IS - 6
ER -