THE DIGITAL SKILLS FRAMEWORK MODEL DEVELOPMENT FOR DIGITAL UNIVERSITY MANPOWER
Abstract
This research article aimed to: 1) investigate the digital skills necessary for personnel
working in a digital university; 2) develop a digital skills framework model for the digital
university manpower; 3) certify the model by consensus from digital university experts. The
researcher has studied research papers related to digital skills required for digital manpower
from international research databases. The study results will be used to synthesize and develop
a digital skills framework model for the digital university manpower. After that, the researcher
developed a questionnaire for the certification of the developed model. The questionnaire was
evaluated by content validity index (CVI) from 5 experts in Human Resource Information
Management (HRIS). The questionnaire was then evaluated overall using the CVI of the
questionnaire with an average approach (S-CVI/Ave). This was the average of the precision
index of the questionnaire, measured by applying the item - content validity index (I-CVI) of
each item to the sum and dividing it by the total number of questions. There are 4 levels of
content validity index: level 1 (Irrelevant), level 2 (somewhat relevant), level 3 (Quite
relevant), and level 4 (Absolute relevant). The content validity was then evaluated by the
number of experts who determined the content consistency to be at level 3 (Quite relevant) and
level 4 (Absolute relevant) only and divided by the total number of experts. The 5 point-Likert
scale was used to identify the level of agreement of the skill set model for digital university
manpower. Seventeen experts in Human Resource Information Management (HRIS);
Management Information System (MIS); and Information Technology (IT) were used to verify
all of the components to validate the model by analyzing consensus from statistical values:
Mean, Standard Deviation: S.D., Median (or Quartile 2), Interquartile Range: I.R. (the
difference between Quartile 3 and Quartile 1), and Quartile Deviation: Q.D (using the formula
Interquartile Range/2) . The results show that the developed model consists of skills for 1)
collaboration working on digital workspace, 2) skills for data analytics and data visualization,
3) skills for presentation and interaction design, 4) skills for information retrieval from digital
data sources, 5) skills for knowledge management with digital technology, 6) skills for using
artificial intelligence in performing duties. The digital skills framework model development
for digital university manpower has passed the digital university expert certification assessment
(Mean = 4.98, S.D. = 0.06, Median = 5.00, I.R. = 0.00, Q.R. = 0.00). The developed digital
skills framework model can be used to develop key manpower to support the digital
convergence university of higher education administration.