Artificial Intelligence-based English Vocabulary Test Research Using Log Analysis with Virtual Reality Assistance

Abstract

Mobile learning has become a key component of higher education technology. M-learning allows students, with the help of the internet and technological advancements, to learn, collaborate and share ideas amongst themselves. Three instruments, including app memorizing English vocabulary exams and an app-assisted English vocabulary acquisition questionnaire, have been used in this technique. Therefore, this paper proposes Artificial Intelligence-based English Vocabulary Test Research (AI-EVTR) to overcome the student’s requirement. Virtual reality (VR) has a lot of potentials, and its use in education has received a lot of attention recently. There is currently very little systematic work for higher education applications in immersive VR that considers the use of high-end and budget head-mounted displays. Further pre-test behavior analysis has been introduced to enhance the app's memory. Before and after the test period, both groups took a pre-test behavior analysis and post-test log analysis Vocabulary Test in English." The experimental group used an app-assisted English vocabulary questionnaire to share their points; they were not extremely motivated in the app-assisted approach. Statistical approaches comprising independent samples were used to analyze the acquired data. The experimental group greatly improved between the pre-test and post-test in spelling. Language learning on the website can be an option. Web-based English learning programs have been linked with artificial intelligence to educate pupils to become active speakers instead of passive readers. The author focuses on the teaching features and capabilities of mobile educational applications.