The aim of this article is to propose an intelligent and flexible e-learning mobile game application based on learning objects to facilitate learning to write Chinese characters in correct stroke sequences. In designing the overall system architecture, the paper adopts an incremental approach to emphasize the system's extensibility. As part of the learning object metadata, the basic features of the system including the evolution and pronunciation of each Chinese character can be embedded to enhance students' understanding of Chinese characters. A prototype of the proposed e-learning game software was to be used built on smartphones to demonstrate the feasibility of this research so that students could learn to carry out the evaluation at anytime and anywhere as the case study. Quantitative approaches are used to for this assessment. A number of 31 foreign online players (Namibian and Thais) from UPSI are chosen to direct this experiment. Data were analyzed using descriptive and explorative data analysis. Descriptive analysis describes how well a player is performing by looking at the number of strokes the player traces without faults. Exploratory data analysis is to find new dilemma faced among the players, and players can provide comment and remarks as future recommendations. Findings showed that there are improvements in game play for experimental group, were the experiment group has gained significant experience whether they had not prior knowledge or not. The results also showed there was a significant critical thinking with significant experience for the group experiment. As a conclusion, a Chinese character writing board game, has improved students’ experience and critical thinking skills in Chinese character writing. As the outcome, the study implicates that the use of mobile games can enhance the effectiveness of teaching and learning to write Chinese character.
Lim, C. K., Tan, K. L., Isak, A. B., & Hambira, N. (2019). Learning chinese characters via stroke-based mobile game in education. International Journal of Innovative Technology and Exploring Engineering, 8(8), 112–118.