Investigating Students' Achievement in Learning through Artificial Intelligence in Education: A Case Study

The purpose of this research was to investigate the impact of artificial intelligence in education software through exploring the learning achievement of students. Two classes were selected to participate in this study. An experimental group used artificial intelligence in education to study English, while a control group used traditional methods with a paper-based reading and writing program. A quasi-experimental design was used, and the results showed that although there were no significant differences in the pre-tests on English when comparing the two groups of students, there were significant differences in the post-test. The experimental group had better improvement in reading and writing English, including better development in predicting and searching for answers. Surprisingly, the motivation of students who persistently followed the instructional program was not lowered but maintained at a high level. This research examines how an artificial intelligence in education program affects students' learning achievement, allowing teachers to further understand its effects. However, this study found various notable areas for improvement with this new technology. Through this research, several real-world applications and directions for future research are discussed. Knowing both the advantages and potential shortcomings of artificial intelligence programs, as well as the students' responses, teachers will find it easier to design the learning process according to students' needs. The results will certainly help to further develop the design of artificial intelligence in education programs