Cognitive Learning Assessment Based on FAHP and RSM: A Case Study of Introduction to Network course

Abstract

With the progress and innovation of digital technology, people's knowledge acquisition, information exchange, and communication modes have changed significantly. The universality of emerging technology media enables instructional designers to use digital media to provide different teaching materials and teaching methods to meet the needs of individual learners according to their differences. Accordingly, this study takes the Introduction to Network course as an example, proposes a Fuzzy Analytic Hierarchy Process combined with Rule-Space Model to guide and analyze students' learning status, and imports Microsoft Technology Association international certification as empirical analysis. The study revealed that, the experts believe that “understanding protocols and services” is the most important part of the basic knowledge of the Internet, followed by “understanding network infrastructure” and “understanding network hardware.” In the section on learning performance, the average progress rates of two class were 69.44% and 62.20%, respectively, the students' scores were significantly improved. In the section on obtaining Microsoft Technology Association certification, the passing rates were 93.44% and 93.10%, which were significant improvements in certification passing rate. In the future, this study can be applied to other fields to improve the relative learning effect and make it broader and more diversified.