期刊名称:International Journal of Academic Research in Business and Social Sciences
电子版ISSN:2222-6990
出版年度:2021
卷号:11
期号:7
页码:1286-1296
DOI:10.6007/IJARBSS/v11-i7/10401
语种:English
出版社:Human Resource Management Academic Research Society
摘要:Recently, many students globally have embraced social media to facilitate learning. This study investigates the perception of students in using Instagram interactive face filters to enhance their speaking skills. The study is significant in identifying main areas in online learning and helps to understand the importance of using technology in learning. By researching how pupils perceive the use of interactive face filters in online learning, the study indicates that there are improved learning outcomes. Teachers, students, and institutions can use the present study to incorporate interactive online learning. The research uses a systematic method to gather, interpret, and draw conclusions of the research data; a quantitative survey method to collect data. The participants comprised 30 of the year five pupils of mixed levels from a Chinese school in rural Sabah. Data was collected online using Google Form, which comprised the questionnaire that participants filled. Regarding perception of students on using Instagram 100% of the respondents agreed that the application helps them in language learning and the necessity of it in learning speaking skills. Also, 80% of the respondents strongly agree that using Instagram is more enjoyable than regular speaking activity and the other 20% agree with the statement. These findings supported the TAM model, which suggested that pupils will be more attracted to incorporate new technology in their learning. The result also found that pupils are having fun and are more relaxed in speaking the English language while trying out the filters, thus motivating them to speak English more confidently. Education stakeholders should perform broader research on the topic to ensure more reliable findings. Since the current research was drawn from only 30 participants, there is a need to acquire data that can be used in a larger spectrum.