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Rasyiqah Batrisya Md Zolkapli

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Review Open access 2026

QuillBot in Academic Writing: Students’ Perceptions, Usage Patterns, and Academic Impact

The increasing prevalence of AI-powered writing tools in the higher education landscape has been propounded to put students on a successful academic trajectory by revolutionising their approaches to academic writing tasks. Among these tools, QuillBot has surged in popularity given its ability to facilitate users in paraphrasing, improving language quality, and enhancing writing efficiency. Despite its growing reliance, concerns regarding academic integrity, learner dependency, and the impact of AI-assisted writing tools on students' writing development remain under scrutiny. This study aims to address these gaps by exploring (1) students' perceptions and attitudes towards QuillBot, (2) its perceived benefits and challenges, (3) factors influencing its usage, and (4) the relationship between QuillBot usage frequency and academic performance. A quantitative survey design was employed involving 266 undergraduate students enrolled in the English for Professional Communication course at Universiti Teknologi MARA (UiTM) Shah Alam. Data were collected through a structured questionnaire adapted from previous research and analysed using descriptive statistics and Pearson correlation analysis. The results showed that students’ perceptions towards Quillbot ranged from neutral to slightly positive, alongside their recognition of its usefulness as a writing support tool. Among the primary advantages were vocabulary enhancement, improved paraphrasing skills, higher adaptability in applying cohesive devices, and reduced anxiety in accomplishing writing tasks. Students also expressed their concerns regarding overdependency and cognitive engagement inhibitions in accomplishing paraphrasing activities. Accessibility, affordability, perceived usefulness, and perceived ease of use were identified as imperative contributing factors of students' adoption of QuillBot. Additionally, a moderate positive correlation was found between QuillBot usage frequency and academic performance (r = .35, p < .01). These findings provide valuable insights into AI-assisted writing technologies by providing empirical evidence in the context of Malaysian higher education. It underscores the importance of fostering responsibility and ethical practices in the use of AI-powered writing tools while supporting students’ development in academic writing.

Tun Amirul Isyraf Farhat Tun Baharum, Nurul Hadi, Wan Zainal Abidin et al. · 0 citations
Review Open access 2026

Askeptbot: A Machine-Learning Chatbot Companion for Disseminating English Placement Test Information

The English Placement Test (EPT) allows first-semester diploma students at Universiti Teknologi MARA (UiTM) to be exempted from the compulsory first-level English proficiency course if they sit and pass it. Communicating accurate and timely information about the test across the university's branch campuses has long been difficult, because there has been no single, centralised information hub, and important materials were often lost among the many messages exchanged between lecturers and students. This study introduces AskEPTbot, a machine-learning Telegram chatbot developed to act as a one-stop centre for EPT information that is accessible to both lecturers and students. Building the chatbot involved integrating EPT information into its knowledge database and enabling a machine-learning feature designed to return increasingly accurate responses as more users interact with it. The aim was to coordinate the EPT communication system and to ease the workload of the lecturers in charge (LICs) at 22 UiTM branches nationwide, who had previously answered hundreds of enquiries individually or through WhatsApp groups. A two-pronged quantitative design combined secondary data analysis of user analytics with a user satisfaction survey. Analytics from 5,067 users showed a high volume of repeat sessions and interactions per user, and the chatbot returned accurate responses in 94.61% of the sampled cases during a single evaluation week. Survey respondents also reported high satisfaction with the chatbot's usefulness, its ability to meet expectations, its response speed, the clarity of its replies, and its ease of use. AskEPTbot therefore functioned as a practical, well-used information hub and was designed to reduce the administrative burden on LICs.

M. Rashid, Hairul Azhar Mohamad, Amir Lukman Abd Rahman et al. · 0 citations