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Investigating the Deep Learning Approach and Lampung Cultural Values (Piil Pesenggiri): A Theoretical and Cultural Analysis Prastyo, Yanuar Dwi; Ariyani, Farida; Ubaidillah, Muhammad; Zakiya, Hanifah; Rahayu, Chika; Dharmawan, Yanuarius Yanu
Linguistics and ELT Journal Vol 13, No 2 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/leltj.v13i2.36543

Abstract

This conceptual paper investigates how the deep learning approach articulated in the New Pedagogies for Deep Learning (NPDL) framework can be theoretically and culturally aligned with Indonesian national graduate profiles, recent Indonesian government formulations of Pembelajaran Mendalam (PM), and the Lampung cultural philosophy of Piil Pesenggiri in the context of English language teaching (ELT). Drawing on document analysis of NPDL texts, Indonesian curriculum and policy documents, the Academic Paper on Deep Learning, scholarly discussions of graduate profiles, and regional literature on Piil Pesenggiri, the study develops a tri-level comparison between global, national, and local frameworks. The analysis shows that NPDL’s six global competencies-character, citizenship, collaboration, communication, creativity, and critical thinking-broadly converge with Kemendikdasmen’s holistic, competency-based vision of graduates and with national deep learning discourse, which combines knowledge, skills, character, and citizenship in integrated graduate profiles. At the local level, core elements of Piil Pesenggiri such as juluk adok, nemui nyimah, nengah nyappur, and sakai sambayan provide cultural resources that can support the social, ethical, and collaborative dimensions of deep learning, while also generating tensions around honour, face, hierarchy, and group harmony. The paper argues that, when these convergences and tensions are explicitly recognised, ELT classrooms in Lampung can be designed as spaces for deep learning projects that develop the 6Cs through locally meaningful themes, tasks, and interaction norms. The study concludes by outlining principles for culturally responsive, deep learning-oriented ELT and by suggesting directions for future empirical research on the localisation of global pedagogies and national deep learning reforms in Indonesian schools.
Artificial Intelligence Generated Summaries as Digital Scaffolds to Support Learners’ Discourse Level Comprehension of Complex Texts in an Indonesian Senior High School Mustafa, Rayval; Dharmawan, Yanuarius Yanu
Journal of English Language and Education Vol 11, No 2 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i2.2228

Abstract

Discourse-level comprehension is essential for academic literacy, as it enables students to follow arguments across paragraphs, evaluate evidence, and engage in critical reading. In Indonesian EFL classrooms, many senior high school students struggle not only with vocabulary but also with constructing coherent understanding from complex texts. Difficulties in tracking references, connecting ideas, and recognizing rhetorical organization often limit deeper comprehension. This qualitative case study was conducted in a Grade XI class at a private urban senior high school in Bandar Lampung, Indonesia. While classroom activities involved the whole class, eight students were purposively selected for think-aloud protocols and focus group discussions to allow in-depth analysis. Data were collected through observations, think-aloud sessions, discussions, and learning artifacts, and analyzed using reflexive thematic analysis. Findings show that ChatGPT-generated summaries functioned as digital scaffolds, helping students clarify key relationships and verify understanding against the source text, thereby supporting more deliberate and evidence-based reading.