LCRec: Learning Content Recommendation (Wiki-based Skill Book)

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Chootong, Chalothon
Shih, Timothy K.
Ochirbat, Ankhtuya
Sommool, Worapot
Gunarathne, W. K. T. M.
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Copyright Journal of Internet Technology 2019
Chang, Carl
Professor Emeritus
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Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

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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 ecommender (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.
This article is published as Chalothon Chootong, Timothy K. Shih, Ankhtuya Ochirbat, Worapot Sommool, W. K. T. M. Gunarathne, Carl K. Chang, "LCRec: Learning Content Recommendation (Wiki-based Skill Book)," Journal of Internet Technology, vol. 20, no. 6 , pp. 1753-1766, Nov. 2019. doi:10.3966/160792642019102006007. Posted with permission.