engleski

Data Mining of Computer Game Assisted e/m-learning Systems in Higher Education

One of the major challenges in the implementation of e-learning systems is motivating students to use it. E-learning systems are mostly unadapted to mobile platforms because they do not use responsive web design and progressive enhancement based on browser, device or feature detection. This paper presents the evolutionary cycle, current status and potential development of new platforms for e/m-learning in higher education. Educational computer games that serve as a motivational element in e/m-learning are presented, as well as the data structures that can complement the existing models of e/m-learning. The University of Rijeka uses MudRi e-learning system, which is based on Moodle open source software. This system collects data on the activity of participants in the educational process, which is suitable for data mining. A preliminary research on the correlation between the activity in forum discussions and the course pass or fail grade is carried out. The possibility of using data mining based on the data structure of the Moodle system and the models of e/m- learning and learning through play is described, aiming at finding optimal ways of learning and optimal learning results. Finally, a model of integrated system user interaction on which our future research will be based is presented.

data mining; e-learning; m-learning; game based learning; educational games

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