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The Correlation Between Teachers’ Teaching Style and Students’ Learning Engagement at MA Plus Nurul Islam Sekarbela Rizkia Rahayu Aji Fahmi; Nawawi Nawawi; Lalu Ali Wardana
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4b (2025): Edisi Khusus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4b.4000

Abstract

Student learning engagement is a multidimensional construct encompassing behavioral, emotional, and cognitive aspects, serving as a cornerstone for academic success. This study investigated the correlation between teachers’ teaching styles and student learning engagement at MA Plus Nurul Islam Sekarbela, addressing a research gap within the unique cultural and institutional environment of Indonesian Islamic schools. Utilizing a quantitative approach with a correlational research design, data were collected from 49 students in grades XI and XII using a structured self-report questionnaire adapted from Grasha’s teaching style model. Descriptive analysis revealed that overall perceived teaching styles were categorized as "High," with the student-centered Facilitator Style dominating Class XI Agama (Mean = 3.38) and the teacher-centered Expert Style dominating Class XII-B Agama (Mean = 3.30). Inferential statistics using Spearman's rho indicated no statistically significant linear correlation between overall perceived teaching style and student learning engagement (p > 0.05) in either grade. The findings suggest that institutional norms and cultural discipline may be stronger predictors of engagement than pedagogical style alone. It is concluded that educators should prioritize strategies targeting the emotional and cognitive dimensions of engagement to improve instructional quality.
The Translation of Multilingual Signboards in Mataram City Using Google NMT Nurshahifah Fithri; Baharuddin Baharuddin; Lalu Ali Wardana
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 4 (2025): November
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i4.4100

Abstract

This research investigates the use of Google Neural Matching Translation (GNMT) in translating multilingual signboards in Mataram City into multiple languages. In this paper, the accuracy, readability, and quality of GNMT translations are evaluated to observe their appropriateness in selected well-turned communication environments. Following previous studies, the current study will investigate accuracy, readability, and quality of GNMT translators outputs on translating multilingual signboards in Mataram city compared to its sets produced by human translators. Field work was carried out between June 9 and July 4, 2025 on Jl. Majapahit, Mataram City, West Nusa Tenggara. The population was all multilingual public signboards in Mataram City, while the sample was those along Jl. Majapahit in Mataram. A total of 209 signs (both monolingual and multilingual) were purposively sampled for accuracy, readability and the quality. The results of the study revealed that GNMT achieved a mean score of 4.37 in terms of accuracy and intelligibility as compared to human’s score 5.0. It is good in translating transparent structured texts but does not well with translation cultural idiomatic expressions, where human post editing for adding context make it consistent and informative. On the whole, GNMT delivers 100% OCR success in multilingual signboard translation; it overcomes on clear language but fails to deal with idiomatic expressions and culturally sensitive ones such as name of foods which are indicative that humans are the most suitable part to handle context dependent or culture specific issues.