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Random Drawing Strategies in Procedural Text Learning Trian Pamungkas; Risma Khairun Nisya; Pipik Asteka; Ima Siti Rahmawati
Journal of English Language Learning Vol. 9 No. 1 (2025)
Publisher : English Language Education Department, Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jell.v9i1.13973

Abstract

This study aims to explore and describe the application of the syntax of random drawing strategies in learning procedural texts at the higher education level. The image randomization strategy is a visual-based method that requires students to arrange a sequence of images that have been randomized into a series of logically sequenced procedures, then convert them into the form of a procedural text. This study uses a qualitative descriptive approach, with data collection techniques through the watch-record method. This technique is applied by directly observing the learning process and recording student interactions, behaviors, and work results during the activity. The subject in this study is a second-semester student from the Indonesian Language and Literature Education Study Program at Majalengka University. Data was collected through class observation and documentation in the form of student writing. The findings of the study show that the randomized drawing strategy contributes positively to improving students' understanding of the structure of the procedural text, practicing the skills of systematically drafting steps, and encouraging active participation in the learning process. In addition, this strategy is considered interesting and helps students in developing logical and structured thinking skills more effectively. Keywords: random images, procedure text, qualitative methods, watch-note
A Structural Analysis of Sutardji Calzoum Bachri’s Poem “O” Trian Pamungkas; Risma Khairun Nisya; Fadila Nuril Fauziyah
Journal of English Language Learning Vol. 10 No. 1 (2026)
Publisher : English Language Education Department, Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jell.v10i1.18789

Abstract

This research aims to dissect the constituent elements of the poem "O" by Sutardji Calzoum Bachri through the perspective of a structural approach. As one of the pioneers of contemporary poetry in Indonesia, Sutardji displayed extreme uniqueness through a grammatical rebellion that freed words from the confines of conventional meaning. The method used in this study is qualitative descriptive with literature study techniques (documentation). Based on structural analysis, the poem "O" indicates the existence of a close organic unity between the physical structure and the mental structure. The physical structure is dominated by circular/uppercase O typography and versification of assonance rhymes /o/ which creates a magical spell-like effect. Meanwhile, the mental structure reflects the themes of transcendental silence, suffering, and deep human existential emptiness. The results of the study concluded that the visual and sound modifications to the physical structure of the poem "O" are not just aesthetic decorations, but concrete representations of the essence of the inner meaning of the poem that depicts the endless cycle of grief.
AI Threat or Partner Narratives in Lecturer Student Discourse: A CDA of Polarization and Legitimacy Rama Dwika Herdiawan; Yayah Nurhidayah; Trian Pamungkas; Yaniar Ratna Dewi
Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya Vol 16, No 1 (2026)
Publisher : Fakultas Ilmu Pendidikan dan Humaniora (FIPH), Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/lensa.16.1.2026.79-102

Abstract

This study examines how lecturers and students discursively construct generative artificial intelligence (GenAI) as either a threat or a partner in higher education, and how these competing stances are legitimized in everyday academic communication. Guided by Critical Discourse Analysis, the study analyzes 124 GenAI-relevant statements (74 spoken; 50 written) drawn from assignment briefings, classroom discussions, consultation meetings, LMS announcements, rubric explanations, emails, and class-group chats in a bounded university context. Polarization was coded as Threat, Partner, or Hybrid/Ambivalent, while legitimation strategies were traced using Theo van Leeuwen's framework (authorization, moral evaluation, rationalization, and mythopoesis), complemented by discursive legitimation perspectives. Findings show that Threat-oriented statements (n=52) slightly outnumber Partner-oriented statements (n=35), with Hybrid "allowed, but…" regulation (n=37) functioning as the dominant mechanism for stabilizing norms under uncertainty. Threat talk occurs during high-stakes assessment moments and is commonly legitimized through authorization (rules, rubrics, sanctions) and moral evaluation (fairness, honesty), often reinforced by cautionary narratives. Partner talk becomes more salient in formative learning episodes and is primarily legitimized through rationalization that frames GenAI as scaffolding for brainstorming, outlining, summarizing, and language polishing, while reasserting student responsibility for accuracy and voice. Across stances, the central legitimacy struggle concerns accountability, who remains responsible for claims, originality, and transparency when GenAI is involved alongside student anxiety produced by inconsistent boundaries across courses. The study argues that sustainable governance requires clearer communicative templates, process-oriented assessment evidence (draft trails, reflective logs, brief oral explanations), and careful use of detection tools only as triggers for follow-up review to protect fairness and trust.