ELECTRONIC DATA PROCESSING WITH QUANTITATIVE EVALUATION OF UNIVERSITY QUALITY
Journal Title: MEST Journal - Year 2017, Vol 0, Issue 2
Abstract
This article offers a quantitative assessment of university quality, algorithms for data processing and obtaining a numerical evaluation of its value. Two types of quality are discussed: Class A – of educational objects (subjects, teachers, programs) and class B – of training students as learning outcomes, acquired knowledge, skills, competencies, and values. It is placed emphasized on Class A, where assessments of teachers are obtained and similarly, academic leaders can be evaluated, so that they are proportionally stimulated for quality achieved. The summary conclusion is that to achieve objectification, group multi-subject expertise should be applied. Evaluation, which is multifactorial, multi-subjective, expert and quantitative (on an interval scale) with the participation of outside experts, requires a substantially complex evaluation system that would be worth only if it is based on modern means of electronic processing and correspondence. The principles of electronic data processing in evaluating the quality of education and university objects (subjects, programs, teachers, etc.) are presented. The article includes designed spreadsheets containing all the attributes: evaluated, assessed, criteria, standards, weight coefficients. Through e-mailing and processing of these tables objective assessments with preserved integrity are obtained. Additional polls are not held. The algorithm of university quality evaluation and algorithm for evaluating a teacher are proposed.
Authors and Affiliations
Mariya Hristova
Keywords
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- EP ID EP329157
- DOI 10.12709/mest.05.05.02.05
- Views 112
- Downloads 0
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