DEVELOP FORECASTING PROGRAM FOR CURRICULUM ADMINISTRATION QUALITY IN HIGHER EDUCATION LEVEL WITH MICROSOFT POWER BI.

Abstract

This research aims to develop forecasting system for Curriculum Administration Quality in Higher Education Level with Microsoft Power BI By analyzing factors with affecting the quality of curriculum administration upon the internal quality assessment criteria for the curriculum level of the academic year 2014. Collect data from the self-assessment report by each curriculum at Rajabhat Phranakhon University, 356 data sets from the academic year 2015 to the academic year 2018 and analyze element of the second order confirmatory factor. The results found that the curriculum quality management factors consist of 4 factors first, the teaching and learning process factor which has the 4 indicators as follow 1) the systematic of teaching & learning and teaching process 2) the course content in the curriculum 3) the student evaluation and 4) the process of student enrollment. Second, learner-teacher development factor which has the 2 indicators as follow 1) student promotion and development 2) student capability. Third, the graduate factor which has the 2 indicators as follow
1) percentage of graduates who have been employed or self-employed within 1 year 2) quality
of graduates according to the standard framework National higher education qualifications. Last is
supporting factor which has the 2 indicators 1) Learning support things 2) Teacher management and
development. With the factors weight of 0.998, 0.981, 0.668, and 1.00 respectively will be used in
structural equations to create forecasting models via simple exponential smoothing techniques with
Microsoft Power BI. The results of satisfaction test from 93 users found that the highest satisfaction
level ( = 4.89) and the standard deviation (S.D.) was 0.31.