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Courage In Niki Caro™s Movie œMulan (2020) Cibro, Nopa Ceria Wati; Murni, Sri Minda
TRANSFORM: Journal of English Language Teaching and Learning Vol. 12 No. 4 (2023): December, 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tj.v12i4.57580

Abstract

Principally this research attempts to find out 1) the types of courage by Mulan's character in Mulan (2020) movie. 2) how Mulan character™s courage showed in the movie. 3) factors that encouraged Mulan™s courage in the Movie. The research is done by descriptive qualitative research with the data source is the movie text script and scenes of Mulan (2020) movie. The instrument of collecting data is documentary sheet and images. The research results show that 1) There were 26 courages in the category types of courage. There are six courage categories, namely physical courage (15.39%), emotional courage (26.93%), intelectual courage (11.54%), social courage (15.39%), moral courage (23.08%), and spiritual courage (7.7%). 2) There are four the ways how the courage showed by Mulan character namely determination, self confidence, consistency, and optimism. 3) There are three factors that encouraged Mulan's character's namely altruism, self confident and situational demands, emotional and cognitive resources.
Linguistic creativity in music: Analyzing code-switching in the Acehnese regional pop songs Afifuddin, Afifuddin; Murni, Sri Minda; Sumarsih, Sumarsih
Studies in English Language and Education Vol 12, No 3 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v12i3.41631

Abstract

This study explored the types of code-switching in Acehnese songs sung by Bergek, an Acehnese pop musician, and identified additional phenomena of code-switching beyond existing theoretical frameworks. The data consisted of ten purposively selected Bergeks songs collected from YouTube and Smule.com. The data were analyzed using a qualitative data analysis model that involves data condensation, data display, and conclusion drawing/verification. The data were categorized based on types of code-switching, including tag-switching (insertion of brief phrases or tags from one language into another), intra-sentential switching (the switch at the clausal, sentential, or word levels), and inter-sentential switching (alternation between clauses or sentences). The findings show that these three types of code-switching exist in Bergeks songs, with intra-sentential switching being the most prevalent (80 occurrences), reflecting the complex integration of multiple languages within a single sentence. Inter-sentential switching is the second most dominant type, observed 36 times. Tag-switching is the least common type identified, with only four occurrences. Interestingly, other notable patterns were also discovered, including affixation (the combination of Acehnese affixes with Indonesian base words) and phonemic fusion, where phonetic elements from different languages were blended. These patterns occurred 14 times in total. These findings provide a detailed view of the frequency and variety of code-switching in Bergeks songs, contributing to enhancing comprehension of language use in bilingual and multilingual musical contexts.
Gender Differences in Impoliteness Strategies on TikTok Comments: A Pragmatic Study Saragih, Natanael; Amaniarsih , Dwi Suci; Asrul , Nurmahyuni; Murni, Sri Minda
EXCELLENCE: Journal of English and English Education Vol 5 No 2 (2025): EXCELLENCE (In Press)
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v5i2.1350

Abstract

This study investigates gender differences in the use of impoliteness strategies in TikTok comment sections from a pragmatic perspective. Drawing on Culpeper’s (1996, 2011) impoliteness framework, this research aims to identify the types of impoliteness strategies employed by male and female TikTok users and to examine how these strategies are realized in online interaction. The data consist of 218 impolite comments collected from selected viral TikTok videos. A qualitative descriptive approach was employed to analyze the pragmatic functions of impoliteness strategies, supported by quantitative analysis to examine frequency patterns across genders. The findings reveal that both male and female users actively engage in impolite discourse; however, they differ in their preferred strategies. Male commenters tend to employ more direct and explicit strategies, particularly bald on record and negative impoliteness, while female commenters predominantly use indirect strategies such as sarcasm or mock politeness and positive impoliteness. These differences suggest that impoliteness on TikTok functions as a strategic communicative resource shaped by gender, platform affordances, and interactional goals. The study concludes that impoliteness in digital discourse is a socially meaningful phenomenon that reflects the intersection of language, power, identity, and gender in contemporary online communication.
An Exploration of EFL Students' Perceptions of AI-Integration in the Learning Process Syafrayani, Putri Rizki; Ayunda, Riska; Molina, Merry Luz; Tambunan, Anna Riana Suryanti; Murni, Sri Minda
JETAL: Journal of English Teaching & Applied Linguistic Vol 6 No 2 (2025): April
Publisher : English Education Department at FKIP Nommensen University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/jetal.v6i2.1803

Abstract

This study explores EFL students’ perceptions of artificial intelligence (AI) integration in language learning, utilizing Kahneman’s Dual Process Theory (2011) to examine intuitive (System 1) and reflective (System 2) cognitive responses. The study aims to understand how junior EFL learners engage with AI tools, and to explore the perceived benefits and challenges of AI-assisted learning. A qualitative research approach was employed, involving 14 students from a Junior-Teenager Conversation class in Medan, selected through convenience sampling. Data were collected using a two-part questionnaire: the first part consisted of multiple-choice items to assess instinctive, emotional reactions, while the second part included open-ended questions to elicit analytical and evaluative responses. Data were gathered during regular classroom sessions and analyzed thematically using Braun and Clarke’s (2006) five-phase framework. The findings revealed that 71.4% of students found AI tools “interesting,” while 7.1% felt “optimistic” and 21.4% “amazed.” Key benefits included AI’s user-friendly interface (42.9%) and well-explained responses (35.7%), while concerns included reduced learning effort (57.1%) and potential academic dishonesty (35.7%). The study highlights the dual impact of AI enhancing personalization and engagement, while presenting ethical and pedagogical challenges. It recommends balanced integration of AI in EFL learning and further research into its long-term effects.