Applying Lag Sequential Calculation and Social Network Analysis to Detect Learners' Behavioral Patterns and Generate Automatic Learning Feedback-Scenarios for Educational MMORPG Games

摘要

In the era of Web 2.0, educational digital games are trending to design learning scenarios which promote social interaction and knowledge constructions. Moreover, educational MMORPG games are possibly to achieve higher social knowledge construction by making instant analysis of behavioral patterns of learners as game players and corresponding game scenarios are generated instantly according to instructional strategies to enhance social interaction. A framework of automatic behavioral detection/analysis mechanism for multi-player interactive educational game combing Lag Sequential calculation and Social Network Analysis is proposed in this study. Teachers and researchers are able to set various feedback rules and scenarios according to the analyzed behavior patterns for facilitating the interaction and learning of learners.