Detecting Play and Learning Styles for Adaptive Educational Games

Digital games have emerged as promising tools that aim to make learning more fun. As each person has different learning and play styles, educational games can become more effective should they adapt content delivery according to the user's learning and play styles. To achieve this, models are needed to represent these styles. Several learning and play style models exist today with varying levels of validity and complexity. With the emergence of educational games, the importance of using such models for enhancing the effectiveness of games as viable educational tools increases. However, not many studies have been conducted that simultaneously consider both style groups. We first analysed existing learning and play models. Based on the analysis results, we created a questionnaire that uses Bartle's Player Types model and Honey and Mumford's Learning Style Questionnaire, and tested it with 127 South Korean elementary school children. The results indicated that within the play style model specific styles were clearly more preferred, whereas learning styles were distributed more evenly. There also were some differences between genders. The results can be used to inform us on what sort of stimuli might yield better immersion in educational games and thereby facilitate the learning process.