Learning behavior and achievement analysis of a digital game-based learning approach integrating mastery learning theory and different feedback models

ABSTRACT

It is widely accepted that the digital game-based learning approach has the advantage of stimulating students’ learning motivation, but simply using digital games in the classroom does not guarantee satisfactory learning achievement, especially in the case of the absence of a teacher. Integrating appropriate learning strategies into a game can better enhance the learning performance. Therefore, in this study, a mastery theory-based digital game with different feedback models was developed to compare the differences in the learning behavior of students using the two feedback models. Lag sequential analysis was then applied to identify the sequential behaviors that are statistically proven to have impact. The results of the experiments and behavior analysis show that, with proper design of the game, students in both feedback methods can achieve the same learning performance as that in the conventional learning method with a teacher involved. Moreover, students in the Regular Feedback Group reviewed the learning material more times than those in the Corrective Feedback Group, which seemed to mitigate the drawbacks of the regular feedback. This result suggests that a proper game design will be able to achieve effective learning and is robust in terms of feedback models.

KEYWORDS:

• Learning behavior
• game-based learning
• mastery learning theory
• feedback models
• learning achievement analysis

Notes on contributor

Dr Kai-Hsiang Yang is currently an Associate Professor in the Department of Mathematics and Information Education at National Taipei University of Education in Taiwan. His research interests include digital game-based learning, information technology-applied instructions, data mining, and web-based learning.

Additional information

Funding

This study is supported in part by the Ministry of Science and Technology of the Republic of China under contract numbers MOST 105-2511-S-152-005-MY2.