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All Journal New Language Dimensions Tech : Journal of Engineering Science
MOHAMMAD FATONI
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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Student Perceptions: Challenges and Opportunities of Using Grammarly on Thesis Writing NIKMATUZ ZUHRIAH; MOHAMMAD FATONI; NANIN VERINA WIDYA PUTRI; MOH. ZAINUDDIN
New Language Dimensions Vol. 5 No. 2 (2024): New Language Dimensions, December 2024
Publisher : English Department, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/nld.v5n2.p91-101

Abstract

Writing skills in English are considered challenging, particularly in academic contexts like thesis writing, where effective organization and expression are crucial. Many students used Artificial Intelligence (AI) tools, such as Grammarly, to enhance their grammar, punctuation, and spelling. This research explored EFL students' perceptions of Grammarly in thesis writing, focusing on both the opportunities and challenges associated with its use and their responses to those. The study was conducted with final-year students at a reputable university who used Grammarly's free version, employing a qualitative design and using semi-structured interviews to get the data. Findings indicated that student perceptions of Grammarly were positive for its user-friendliness, instant feedback, and efficiency in addressing grammar, spelling, and punctuation errors. The opportunities identified include immediate feedback, consistent evaluation, additional correction insights, and improved writing efficiency, all contributing positively to thesis writing quality. However, challenges such as over-reliance on AI, the necessity for manual rechecking, limitations of the free version, difficulties with tense detection, and internet connectivity issues were also reported. Students generally appreciate Grammarly's suggestion in correcting grammatical and technical challenges but have varied responses to its challenges, with some continuing to use the tool despite its shortcomings and others using similar alternative options. Suggestions for further research include comparing Grammarly with other writing assistance tools in the context of thesis writing and using quantitative methods to better assess its effectiveness. Future studies could develop diverse research instruments to enrich the findings of this research.
Conceptual Computational Modeling of Genetic and Neurochemical Traits of Social Outcasts in the Series Wednesday Dede Ramadhan; M. Ahleyani; Hegi Aulia Azzahra Putri; Mohammad Fatoni; Syifa Aulia
Tech : Journal of Engineering Science Vol 1 No 2 (2025): Inovasi dan Aplikasi Terbaru dalam Teknik dan Sains Terapan untuk Mendukung Produ
Publisher : Yayasan Penelitian dan Pengabdian Masyarakat Sisi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69836/tech.v1i2.529

Abstract

This study explores the representation of genetic and neurochemical traits associated with social outcast groups as depicted in the television series Wednesday, using a conceptual computational modeling framework. Rather than pursuing empirical biological validation, the research adopts speculative and educational modeling approaches inspired by systems biology, neurochemistry, and computational neuroscience to interpret narrative patterns related to marginalization, emotional regulation, and behavioral divergence. Conceptual models are constructed by mapping fictional character traits to simplified genetic markers, neurotransmitter interactions, and network-based behavioral dynamics. The study aims to demonstrate how computational thinking can be employed as an interdisciplinary analytical tool for science communication, critical media analysis, and pedagogical innovation. Limitations of the study include the non-empirical nature of the data and the reliance on narrative abstraction. Nevertheless, the findings highlight the potential of computational frameworks to bridge popular culture and scientific reasoning in an accessible and ethically reflective manner.
Co-Authors Dede Ramadhan Hegi Aulia Azzahra Putri M. Ahleyani Moh. Zainuddin NIKMATUZ ZUHRIAH Syifa Aulia VERINA WIDYA PUTRI, NANIN