Motivation Assessment Model Using Fuzzy Logic in Programming Tutoring System

Abstract

Motivation is a key success factor in learning programming. However, motivation aspect has not been fully addressed in Programming Tutoring System. This paper proposed a Motivation Assessment Model for Programming Tutoring System. The aim is to detect and measure students' motivation level so that the tutoring system can deliver the tutorial materials accordingly, much like a human tutor does. In this study, various motivation factors, variables and techniques for measuring students' motivation in tutoring system were investigated. Based on self-efficacy theory, Effort, Choice of Activities, Performance and Persistence were proposed as motivation factors. Parameter(s) for each factor and Fuzzy Logic as a prediction technique were also discussed. As for future work, the proposed model will be implemented in Java platform and tested on programming students using Moodle.