The effects of AI tools on undergraduates' academic writing proficiency in Malaysia

• Main Author: Ng, Shi Zhe
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: H Social Sciences (General); QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://eprints.utar.edu.my/6740/1/202310%2D24_FYP_Softcopy_Ng_Shi_Zhe_202310%2D24_NG_SHI_ZHE.pdf; http://eprints.utar.edu.my/6740/

The purpose of this study was to investigate the factors of Artificial Intelligence (AI) tools that have impact on Malaysia’s undergraduate student’s academic writing proficiency. The impact on academic writing proficiency is the dependent variable in this research study, and the independent variables—personalized learning, feedback mechanism, usage frequency and hedonic motivation will be taken into consideration as the elements influencing this variable. Students who are studying as undergraduates will be our target demographic. Using the convenience sampling approach, we administered the questionnaire to our target group in 200 sets overall. The reliability test will be measured using Cronbach's Alpha to determine the level of reliability. Additionally, multiple regression analysis will be used to examine the data that has been obtained. Based on the research study's findings, the respondents acknowledge that AI tools’ personalized learning, feedback mechanism and hedonic motivation are significant factors that contribute in improving academic writing proficiency; however, feedback mechanism shows the greatest effect. The study's findings imply that undergraduate students felt that feedback mechanism of AI tools can provide them better resources and assistance in improving academic writing proficiency.