Open AccessCOMBINING AHP AND GOAL PROGRAMMING IN THE CONTEXT OF THE ASSESSMENT OF E-LEARNING
Author(s) -
Mónica de CastroPardo,
Concepción de la Fuente Cabrero,
Pilar Laguna Sánchez,
Fernando Pérez Rodríguez
Publication year - 2019
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v11i3.630
Subject(s) - analytic hierarchy process , computer science , pairwise comparison , multiple criteria decision analysis , consistency (knowledge bases) , context (archaeology) , hierarchy , process (computing) , goal programming , management science , knowledge management , operations research , artificial intelligence , paleontology , economics , engineering , market economy , biology , operating system
The Analytical Hierarchy Process is a very common method used in Multi-Criteria Decision Making (MCDM) to analyze participative assessments. However, due to the qualitative nature of this methodology, a high percentage of inconsistencies need to be addressed when analyzing user preferences. This work analyzes the efficiency of the Goal Programming model in order to reduce inconsistencies with pairwise comparisons when working with inexpert participants and time limitations. A case study has been carried out that assesses online courses in higher education with the Analytical Hierarchy Process in order to understand the usefulness and feasibility of the method. Evaluation of four e-learning tools (collaboration tools, content tools, tutorial sessions and evaluation tools) used in an online business degree were collected from 72 students through a ‘Saaty-type’ survey, and the model was applied to improve the consistency of these results. This model has been able to minimize the inconsistencies of individual preferences while avoiding the loss of primary information.