Augmented Reality in Language Learning: Enhancing Student Engagement in a Third Language Subject

Abstract

To improve student performance on the subjects studied, the fields of education and technology cannot be separated. Although technology has been used in Third Language Subject Education for a long time, student performance has been seen to decline from 2020 to 2021. In fact, the use of augmented reality (AR) multimedia technology continues to remain uncommon, particularly in third-language subjects at Universiti Teknologi MARA (UiTM). Due to the paucity of studies on the impact of using AR technology in the third language on student performance, this needs to be investigated. The use of AR in education and training can speed up instruction, be lightweight and portable, have clear content, and cost less to print. The purpose of this research is to determine how the use of AR-oriented multimedia technology affects student performance in third-language learning methods and lecturer roles. Data from questionnaires is collected using quantitative methods. SmartPLS 3.0 was used to analyse the data. A total of 387 UiTM students who took a third language course participated in the study. The analysis revealed that the use of multimedia had a significant impact on student performance, with the exception of the teaching strategy factor, which had no effect on student performance. Future proposals to broaden AR research into other areas of social science.

Interactive Augmented Reality System for Learning Phonetics Using Artificial Intelligence

“…The results from the articulatory awareness test (Figure 15) demonstrate the crucial role of explaining the functioning of the speech organs in producing phoneme sounds. This step is particularly significant in the process of phonetic learning, unlike the traditional approach adopted in the works of [19], [30], and [17], where emphasis is placed on teaching the letters' names, visual representation, and pronunciation within words. By knowing which speech organs are involved and how they move, learners can more effectively mimic and produce accurate phoneme sounds.…”

“…Up to the point of writing this paper, there isn't any AR system currently exists that utilizes AI for the purpose of phonetics learning in general, or for Arabic phonetics specifically. Many studies, such as [17] and [30], have focused on teaching Arabic vocabulary, but not specifically phonetics. While other studies [10][11][12][13], have incorporated audio for phoneme sound, none have included a recording option with the use of AI to analyze student recordings and provide feedback on pronunciation.…”