Gamified Massive Open Online Courses (G-MOOCs) is a Learning Management System (LMS) platform built on the gamification framework (MARC Gamification Framework) that has been proposed in previous studies based on various aspects of game elements, social learning, motivation and interactive theory learning environment (ILE). G-MOOC is a background element that can motivate them when taking courses in online learning. The purpose of this study was to know the effectiveness of gamified LMS platforms to increase learners' motivation on the level of online course completion. In this study involving students of Universitas Amikom Purwokerto in the information system study program to evaluate the G-MOOCs platform that had been built. Students were randomly selected from 142 student populations, 71 students to evaluate the G-MOOC and 71 other students to evaluate platforms without gamification. Tests are carried out using the experimental group method using two indicators, namely the level of mastery of the course (performance) and the status of learning courses (Done/Not Done). To produce data from used indicators, researchers gave four weeks to take the course. The courses are compared with the LMS platform which has no gamification element (SIMOOC), the performance indicators are tested in the participant values between the G-MOOCs platform and the SIMOOC platform, t-test used to determine if there is a significant difference between the means of G-MOOCs and SIMOOC. Based on the results of the test, there is an effectiveness of gamified LMS platform to increase learners motivation on the level of online course completion, because the scores generated in the G-MOOCs platform is better than the SIMOOC platform, as well as the number of learners on the G-MOOCs platform is greater than the SIMOOC platform.
CITATION STYLE
Saputro, R. E., Salam, S., Zakaria, M. H., & Baihaqi, W. M. (2019). The effectiveness of the gamified LMS platform to increase students’ motivation in online courses. International Journal of Advanced Trends in Computer Science and Engineering, 8(1.5 Special Issue), 327–332. https://doi.org/10.30534/ijatcse/2019/5481.52019
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