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dc.contributorJittima Wongwuttiwat
dc.contributorAdtha Lawanna
dc.identifier.citationProceedings, 8th International Conference on Knowledge and Smart Technology, KST 2016, Knowledge and Smart Technology , Research Laboratory, Faculty of Informatics, Burapha University, Chon Buri, Thailand, Chiang Mai, Feb. 3-6, 2016en_US
dc.description.abstractIT professionals in these days need to obtain multidisciplinary skill sets in order to succeed in their career. Design skill is considered as one of important characteristic for IT professionals. Many researches addressed design skill sets differently. This results in an increasing numbers of design skill items, in which some of those items have their meaning slightly different from each other. These long lists of design skill items can cause to long range of questionnaire. This study evaluates three techniques used for items selection which help reducing the number of skill items but with expect to remain their value within the selected items. The comparative studies used in this work are random selection, statistics selection, and effective coverage-based selection. The study found that the proposed technique provides the most satisfy result comparing to the other two techniques. According to this, the reduction rate by using this model is better than random and statistics algorithms about 47.83% and 34.78% respectively. Moreover, the percent coverage by using the proposed model is higher than the traditional methods approximately 13-26 %.
dc.format.extent4 pagesen_US
dc.subjectinformation technology skills
dc.titleIT Design Skills Selection for Professional Developmenten_US
dc.rights.holderJittima Wongwuttiwaten_US
dc.rights.holderAdtha Lawannaen_US
mods.genreProceeding Paperen_US[Full Text] (

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