Claim Missing Document
Check
Articles

Found 3 Documents
Search

Understanding EFL Students’ Acceptance of DeepL for English Translation: A Technology Acceptance Model Perspective Reihayyu Dwi Cahyani; Syamdianita; Aridah; Weningtyas Parama Iswari; Ichi Ahada
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 2 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i2.6831

Abstract

This study investigates University students' perceptions of the machine translation tool DeepL in the context of learning English as Foreign Language (EFL). The main objective was to explore the frequency of use with the tool through the TAM Theory. Using a descriptive qualitative research approach, the purpose of sampling was used to select four university EFL students, who were categorized as frequent and infrequent users of DeepL. Data was collected through semi-structured interviews, and questionnaires. The results showed that frequent users of DeepL appreciated its effectiveness in vocabulary acquisition, translation accuracy, and academic writing support. In contrast, infrequent users expressed concerns about limitations such as the lack of a paraphrasing feature and the formality issues. These findings highlight significant differences in user experience based on frequency of use and the need for further research with larger and more diverse samples to validate these results. Recommendations for future research include incorporating feedback from users to improve functionality and meet the evolving needs of EFL learners. This research contributes to the understanding of the role of machine translation technology in language learning and offers insights for future research.
Switching Among Worlds: How Online Friends Encourage Code-Switching in Communication Gracia, Rainata; Syamdianita; Aridah; Maria Teodora Ping; Iwan Setiawan
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 2 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i2.6826

Abstract

This study investigates code-switching in digital communication among bilinguals, focusing on informal conversations on WhatsApp and Discord. It aims to examine the types of Code-Switching that occur and the underlying motivations behind them. The study employs a qualitative case study approach, the research involved chat data analysis and semi-structured interviews with a 21-year-old Indonesian and an 18-year-old Malaysian, both of whom are online friends. Data were collected over a three months period (January-March 2025). Guided by Poplack’s typology, the analysis identified three types of code switching: intra-sentential, inter-sentential, and tag-switching with intra-sentential switching being the most frequent (76% of all instances). Participants reported that their language choices were influenced by social dynamics, emotional state and the context of the conversation. Reasons for code-switching were for expressive clarity, social connection and cultural identity reinforcement. While limited by its small sample and short timeframe, this study highlights how digital platforms facilitate linguistic flexibility and position Code-Switching as a strategic tool for interpersonal communication. The findings contribute to the fields of sociolinguistic and digital communication by providing insight into how online communication shapes multilingual practices in contemporary context.
Bridging the Gap: Challenges Faced by Pre-service Teachers in Creating Interactive Video Assessments Dayu Kalpiko Retno, Rafifa; Limbong , Effendi; Aridah, Aridah; Rusmawaty, Desy; Syamdianita
Ethical Lingua: Journal of Language Teaching and Literature Vol. 12 No. 2 (2025): Volume 12 No 2 October 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/25409190.875

Abstract

This study explores the challenges that pre-service teachers face when developing interactive video assessments, with a focus on the technological, pedagogical and psychological aspects involved. While interactive videos have been shown to increase student engagement, some pre-service teachers struggle to create them. Three English education students from Mulawarman University were purposefully selected for the study. Data were collected through semi-structured interviews and focus group discussions and analysed using thematic analysis. The findings revealed technical challenges like unstable internet and delayed AI. Pedagogical challenges such as teachers relied heavily on AI, and limiting creativity. Psychological challenges when participants did not trust the accuracy of AI or the grammar of AI-generated questions, necessitating additional scrutiny. Despite these challenges, the study showed that participants transitioned from passively accepting the AI's output to actively adapting and refining it. This demonstrates that, when teachers take ownership of the contextualisation of materials, interactive video assessments can be effective, provided they are supported by thorough training in digital pedagogy and AI literacy.