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Digital Technology-Assisted Deep Learning in Language Classes: Exploring EFL Teachers’ Perspectives of Students with Disabilities Tusino
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

Although numerous studies have investigated digital technology-assisted deep learning in English as a foreign language (EFL) classes, only a few were conducted for students with disabilities. This study aims to explain teachers’ perceptions regarding technology-assisted deep learning in English learning. This study employed a qualitative case study with six EFL teachers of the special schools in Indonesia. Data were collected through semi-structured interviews. Teachers’ responses towards attitudes, perceived benefits, and challenges of digital technology-enhanced deep learning practices were analyzed through a thematic analysis. Findings revealed that EFL teachers had positive attitudes towards digital technology-assisted deep learning in language classes. It was also found that digital technology-assisted deep learning supported students’ learning autonomy and engagement. However, the results of the study identified several challenges such as lack of suitable digital materials and technical constraints in classroom settings.  The findings highlight that digital technology-assisted deep learning is a potential learning model to enhance students’ autonomous learning for special education.
Application of ICT to Enhance Writing Skill: A Qualitative Study Janah, Rohmatul; Tusino; Dewi, Puspa
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan, Universitas Islam Negeri (UIN) Syekh Wasil Kediri, Indonesia

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Abstract

This study investigates the application of Information and Communication Technology (ICT) to enhance students’ writing skills in a vocational school setting. Conducted with 32 eleventh-grade students in the Computer Network Engineering program at SMK Pancasila 1 Kutoarjo, this qualitative descriptive research employed classroom observation, questionnaires, and semi-structured interviews to gather data. Findings reveal that ICT integration significantly improves students’ writing proficiency by fostering engagement, expanding vocabulary and grammar accuracy, and reducing writing anxiety through collaborative platforms. Students reported that ICT tools make writing more interesting, promote autonomy, and increase motivation. However, challenges such as limited internet connectivity, insufficient devices, and uneven digital literacy were also identified. Overall, the study concludes that ICT has great potential to support effective writing instruction in vocational schools, provided that infrastructural and pedagogical challenges are adequately addressed. Future research is recommended to explore hybrid ICT-based approaches and long-term impacts on academic writing performance.
Figurative Language in Selected Song Lyrics of NIKI’s Nicole Album Tusino; Dewi, Puspa; Maryani, Sri
ETERNAL (English Teaching Journal) Vol. 17 No. 1 (2026): February
Publisher : Prodi Pendidikan Bahasa Inggris, FPBS, Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/eternal.v7i1.3118

Abstract

Despite the extensive studies on figurative language in song lyrics, limited research has specifically explored emotional functions of figurative language in contemporary pop albums by Asian artists, particularly in NIKI’s Nicole album. This study aims to examine figurative language used in the lyrics of a few of NIKI’s songs from the Nicole album. This study employed a descriptive qualitative method focusing on documents through content analysis. The primary data of this study were a few chosen tracks from NIKI's Nicole album with an emphasis on the lyrics of the songs investigated. To examine the data, the songs were listened to several times, and the lyrics were carefully read to comprehend meanings of the metaphorical language. The data were gathered based on the categories of metaphorical language and categorized for further examination. Findings revealed that eight songs used 75 different types of figurative language which included metaphor as the most frequently used type. The five varieties of figurative language included personification, simile, hyperbole, irony, and metaphor. The use of figurative language created intense emotional expressions which included regret and despair and melancholy. The study demonstrates that song lyrics achieve their highest poetic and beautiful and emotional effects through the use of figurative language which also helps to express the song's main message.