Computer Programming Subject Teaching Innovation Selection using Analytic Hierarchy Process

Abstract

The objective of this research is finding out a suitable teaching innovation that could improve a student's computer programming competency. There are three conditions which are used as criteria for innovation selection. These conditions are “teacher competency”, “laboratory limitation”, and “teaching time limitation”. There are three teaching innovation methods, which are empirical experiments on three groups assigned to students. The three innovations are “Typical teaching”, “Flipped classroom”, and “Community of practice”. The group of computer programming subjects judged the importance of three criteria and the importance of alternatives (teaching innovation) under each condition. The result of the analytic hierarchy process (AHP) presents that the community of practice is the best teaching method. These three teaching methods are assigned to three groups of students (fifteen per group). The percentage of average competency increase in typical teaching, flipped classroom, and community of practice are 19.35%, 37.29%, and 44.26%.