英文摘要 |
More and more English learning activities help learners to learn English effectively through digital game situation. The integration of game competition strategy into English teaching environment can improve students’ learning motivation. It is obvious that the emphasis on English learning admits of no delay in teaching practice and the research into promoting English vocabulary learning is of great importance. The real-time adaptive English vocabulary game learning system teaching can apply the image sensing interaction technology to enter English vocabulary game learning field and learners can stimulate the learning motivation and effectively give play to the advantage of game system in the teaching through the design of real-time adaptive game contents and change in difficulty level. This research adopted quasi-experimental design to explore the effect on the sixth grade students’ learning effectiveness and the difference in learning motivation through real-time adaptive English vocabulary game learning system teaching. The research results show that: (1) The learning effectiveness by applying realtime adaptive English vocabulary game learning system teaching is significantly superior to that of traditional dictating English vocabulary teaching. (2) In terms of learning effectiveness analysis with different learning abilities, students in high learning ability group have no significant difference in real-time adaptive English vocabulary game learning system teaching and traditional oral English vocabulary teaching; but for students in low learning ability group, real-time adaptive English vocabulary game learning system teaching is significantly superior to traditional oral English vocabulary teaching. (3) In terms of analysis for learning motivation, compared with the traditional oral English vocabulary teaching, the learning motivation of real-time adaptive English vocabulary game learning teaching has been significantly improved in the 4 dimensions of attention, association, confidence and satisfaction. |