The Effects of Dynamic and Static Feedback on Digital Game-Based Learning Under Tasks With Different Difficulty

• In Event: Models for Digital Learning in Computational and Game-Based Contexts

Abstract

To provide more useful feedback strategies in digital game-based learning, this study developed a programming educational game from easy to complex game tasks and investigated the effects of dynamic feedback adjusting feedback contents based on the game difficulty and static feedback maintaining the same type of feedback on students’ learning. In addition, a lag sequence was used to analyze behavior patterns of learners. 105 university students participated in this experiment and were randomly assigned to four experimental conditions. These results showed that dynamic feedback could be effective in enhancing students’ learning achievement and gaming engagement. Furthermore, more detailed explanations offered for both the easy and difficult game tasks might decrease learners’ participation. The implications of these findings are discussed.

Authors

• Peipei Mao, Central China Normal University
  Presenting Author

• Zhihui Cai, Central China Normal University
  Presenting Author

• Zhikeng Wang
  Non-Presenting Author

• Jinbo He, The Chinese University of Hong Kong
  Non-Presenting Author

• Xitao Fan, The Chinese University of Hong Kong
  Non-Presenting Author