The purpose of this study is to find the educational meaning of activity on social network games. It was explored whether social network games can be used effectively to support learning via focusing on interaction. Social network games have a structure to facilitate self-directed learning readiness that is the nature of game-learning activity in terms of four dimensions. Four types of interaction on game learning activity are as follows: player-corresponding player interaction, player-content interaction, player-NPC (non-player character or game system) interaction, and player-context interaction. The result of this research, there are meaningful difference of self-directed learning readiness between learners who perform social network games and did not perform in their effect on the student's self-directed learning readiness on social network gaming activity. In other words, the group that performed the experience activity on social network game of higher interaction experienced improving of self-directed learning readiness than the group that did not perform the game.
This chapter introduces the application of an artificial intelligence technique to a mobile educational device in order to provide a learning management system platform that is adaptive to students’ learning styles. The key concepts of the adaptive mobile learning management system (AM-LMS) platform are outlined and explained. The AM-LMS provides an adaptive environment that continually sets a mobile device’s use of remote learning resources to the needs and requirements of individual learners. The platform identifies a user’s learning style based on an analysis tool provided by Felder & Soloman (2005) and updates the profile as the learner engages with e-learning content. A novel computational mechanism continuously provides interfaces specific to the user’s learning style and supports unique user interactions. The platform’s interfaces include strategies for learning activities, contents, menus, and supporting functions for learning through a mobile device.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.