cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Erfan Muhamad Fauzi
Contact Email
jcall@uinsgd.ac.id
Phone
+6285715329861
Journal Mail Official
jcall@uinsgd.ac.id
Editorial Address
Cipadung, Kec. Cibiru, Kota Bandung, Jawa Barat 40614
Location
Kota bandung,
Jawa barat
INDONESIA
CALL
Published by UIN Sunan Gunung Djati Bandung
ISSN : -     EISSN : 27232417     DOI : https://dx.doi.org/10.15575/call
Core Subject : Humanities, Education, Art,
Arts Humanities Languange, Linguistic, Communication & Media
CALL is a journal that presents Critical Analysis on Language and literature. This journal focuses on the analysis of text scrutinized by theories from linguistics, literary analysis, discourse analysis, to critical theories. This journal accepted the analysis of text of any language, especially, Indonesian, Malay, Arabic, English, indigenous and modern languages. The official language of this journal is English. The management of journal CALL has been arranged since 2018 but the journal was first published online for Vol. 1, No. 1, in June 2019. This is a biannual journal published in June and December by Program Studi Sastra Inggris, Fakultas Adab dan Humaniora, UIN SUnan Gunung Djati Bandung.
Arjuna Subject : Seni dan Humaniora - Sastra dan Teori Sastra
Articles 145 Documents
 11   12   13   14   15 
THE EFFICIENCY OF SMALL-SCALE INSTRUCTION STRATEGIES IN INITIATIVES DESIGNED TO EDUCATE ENGLISH-SPEAKING TEACHERS Nayeem, Mohammad Abu
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.43179

Abstract

This study explores the pedagogical impact of small-scale instruction strategies, also known as microteaching, on the professional development of English-speaking educators. In response to the persistent theory-practice divide in teacher education, small-scale instruction offers a practical framework for skill-based learning through iterative teaching sessions, guided feedback, and reflective practices. This research investigates how microteaching enhances classroom performance, instructional confidence, and student-centered delivery. The study applies a qualitative, literature-based method and synthesizes findings from over 80 global and regional peer-reviewed sources. Key challenges identified include inadequate theoretical integration, insufficient instructional resources, limited digital infrastructure, and evaluation gaps. At the same time, the literature highlights the potential of video-based feedback, context-sensitive teaching simulations, and constructivist alignment to optimize learning outcomes. The findings advocate for a comprehensive, digitally supported, and culturally responsive microteaching framework, particularly suited for low-resource and linguistically diverse educational contexts. This paper contributes to teacher training discourse by offering scalable, evidence-based models adaptable to dynamic classroom environments.
KEY ISSUES AND RESEARCH AREAS IN DISCOURSE ANALYSIS: A METHODOLOGICAL FRAMEWORK Mahamdeh, Ahmad; Hawamdeh, Mohammad; Al Aqqad, Mohammad
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.48353

Abstract

This study examines the methodical frameworks in textual, political, and critical discourse analysis by three case studies: the continuity of sense in wartime, local coherence in political communiqué and formal properties of literary language. As master’s theses defended at Jerash University, Jordan in 2022/2023.These master’s theses sought to handle the key issues in the related studies. They also evaluated the efficacy of the corpus - based approaches in analyzing discursive phenomena and in real-world language patterns to understand how context influences meaning. The study utilizes a qualitative case-study method to explore essential subjects in DA along with their sampling frames and instrumental designs. By examining of linguistic corpora from such fields as literature, politics and intercultural debates, the efficacy of well-structured methods in enabling detailed analyses and revealing new insights is illustrated. Zelensky’s (2022) Addresses in Ukraine’s Crisis, Obama’s (2020) A Promised Land and Hosseini’s (2007) A Thousand Splendid Suns represent these research areas. The results emphasize the potential of corpus-based methods to provide crucial insights and vital resources for persuasion, diplomacy and interpretation, carrying values for related areas like translation studies, semiotics, political communication and pragmatics.
WHEN STIGMATIZATION AND SOCIODEMOGRAPHICS CHALLENGE ARTIFICIAL INTELLIGENCE IMPLEMENTATION Nurhamidah, Nurhamidah
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.51189

Abstract

The undeniable enticement of Artificial Intelligence (AI) goes across every aspect of daily basis, and education is no exception. The obstacles remain present due to the sociodemographic factors, and eventually, they touch the preconceived judgments teachers have. This research is aimed at investigating how stigmatization and sociodemographics of students in choosing the best AI for students. This research was conducted using qualitative research, i.e., interviews of twelve teachers who were selected based on the curated criteria and thematic analysis. The findings suggest that teachers stigmatize students according to the sociodemographic factors, consisting of gender, age, ethnicity, proficiency, economic level, previous education, and financial aid. Teachers take their consideration of choosing AI based on the sociodemographic. As a result, it greatly helps students in achieving learning outcomes. The findings agree with the notion that AI implementation should be adjusted to the students’ needs, though in this case, it involves stigmatization as an initial step. Therefore, for future researchers, it will be necessary to understand the indication of stigmatization in the implementation of AI, especially in settings that encompass multiple backgrounds.
POPULAR OR POPULER? COMPARING AI AND HUMAN TRANSLATION OF NONCE WORDS IN WICKED’S INDONESIAN SUBTITLES Abdillah, Taufik Eryadi; Fanny Puji Rakhmi; Ina Sukaesih; Farizka Humolungo; Septina Indrayani
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.51205

Abstract

This study investigates the process of translating nonce words in Indonesian subtitles of the musical fantasy film Wicked, focusing on the challenges posed by highly creative and humorous expressions that remain underexplored in audiovisual translation studies. Set in the magical land of Oz, the film incorporates playful and imaginative expressions like Galindafied and braverism, which present unique translation difficulties. The study employs content analysis to compare human-generated subtitles from Apple TV with AI-generated subtitles produced by ChatGPT. While both human and AI translations tend to convey the general meaning of the nonce words, they fail to capture the stylistic and humorous nuances present in the source language. Human translations can be literal or omit creative expressions entirely, suggesting that neither method fully encapsulates the inventiveness and playfulness of the source language. This study underscores the importance of developing more adaptable strategies for translating highly creative audiovisual texts.
Implicature in Radiohead’s Album OK Computer’s Lyrics Rahmat, Muhamad Khatami; Fadil, Ahmad Mahesa; Yastanti, Unpris
CALL Vol. 7 No. 2 (2025): CALL
Publisher : Universitas Islam Negeri Sunan Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/call.v7i2.54043

Abstract

This study investigates the use of implicature in the lyrics of Radiohead’s album OK Computer within the broader field of pragmatics, emphasizing how meaning is constructed beyond literal interpretation in artistic discourse. The study aims to identify the types of implicature present in the album and to explain how implied meanings are generated through linguistic choices in song lyrics. Grounded in H. P. Grice’s theory of conversational implicature and the Cooperative Principle, this qualitative research analyzes eight selected songs from OK Computer: “Airbag,” “Paranoid Android,” “Subterranean Homesick Alien,” “Let Down,” “Karma Police,” “No Surprises,” “Climbing Up the Walls,” and “Lucky.” The analysis focuses on the observance and flouting of Grice’s maxims of Quantity, Quality, Relation, and Manner to uncover implicit meanings embedded in the lyrics. The findings reveal a total of 85 implicatures, consisting of 83 conversational implicatures and 2 conventional implicatures, indicating that conversational implicature is the dominant strategy employed throughout the album. Songs such as “Climbing Up the Walls,” “Airbag,” and “Let Down” show a high frequency of implicature, reflecting themes of fear, alienation, technological anxiety, and emotional vulnerability. In conclusion, the study demonstrates that implicature functions as a central pragmatic device in OK Computer, enabling Radiohead to communicate complex emotional and social meanings while maintaining poetic subtlety and interpretive openness.  

Page 15 of 15 | Total Record : 145

 11   12   13   14   15 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2025): CALL Vol. 7 No. 1 (2025): CALL Vol 6, No 2 (2024): CALL Vol. 6 No. 2 (2024): CALL Vol. 6 No. 1 (2024): CALL Vol 6, No 1 (2024): CALL Vol 5, No 2 (2023): CALL Vol. 5 No. 2 (2023): CALL Vol. 5 No. 1 (2023): CALL Vol 5, No 1 (2023): CALL Vol. 4 No. 2 (2022): CALL Vol 4, No 2 (2022): CALL Vol 4, No 1 (2022): CALL Vol. 4 No. 1 (2022): CALL Vol 3, No 2 (2021): CALL Vol 3, No 1 (2021): CALL Vol 2, No 2 (2020): CALL Vol 2, No 1 (2020): CALL Vol 1, No 2 (2019): CALL Vol 1, No 1 (2019): CALL More Issue