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Literasi Media Digital Canva Mahasiswa dalam Menyusun Materi Pembelajaran Bahasa Indonesia Juanda*, Juanda; Mansur, Umar; R, Mantasiah
Alinea: Jurnal Bahasa, Sastra, dan Pengajaran Vol 14, No 1 (2025): Bahasa, Sastra, dan Pengajaran
Publisher : Universitas Suryakanca

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/alinea.v14i1.4938

Abstract

This study aims to measure the level of digital literacy of students using Canva in preparing Indonesian learning materials. The research used a quantitative approach with a descriptive survey method, involving respondents from students of the Indonesian Language and Literature Education Study Program, Universitas Muslim Indonesia. The results showed that the overall level of digital literacy of students was classified as moderate with an average score of 68.5/100. In the aspect of technical ability, 65% of students were at an intermediate level, but only 10% mastered Canva's advanced features. In design creativity, 45% of students showed moderate ability, while 30% were in the high category. As many as 75% of students were able to adapt the design to learning needs, although only 20% showed in-depth mastery. In addition, 70% of students found Canva helpful in creating interesting and easy-to-understand materials. These results make a significant contribution to the development of technology-based education curriculum for higher education. This study recommends project-based digital literacy training, as well as faculty and student collaboration to improve digital literacy. Future research should expand the sample, use mixed-methods for more in-depth analysis, and explore other dimensions of digital literacy.Keywords: Canva; digital literacy; media; learning technologyAbstrakPenelitian ini bertujuan mengukur tingkat literasi digital mahasiswa menggunakan Canva dalam menyusun materi pembelajaran bahasa Indonesia. Penelitian menggunakan pendekatan kuantitatif dengan metode survei deskriptif, dengan melibatkan responden dari mahasiswa Program Studi Pendidikan Bahasa dan Sastra Indonesia, Universitas Muslim Indonesia. Hasil penelitian menunjukkan tingkat literasi digital mahasiswa secara keseluruhan tergolong sedang dengan rata-rata skor 68,5/100. Pada aspek kemampuan teknis, 65% mahasiswa berada pada tingkat menengah, namun hanya 10% yang menguasai fitur lanjutan Canva. Dalam kreativitas desain, 45% mahasiswa menunjukkan kemampuan sedang, sementara 30% berada pada kategori tinggi. Sebanyak 75% mahasiswa mampu menyesuaikan desain dengan kebutuhan pembelajaran, meskipun hanya 20% yang menunjukkan penguasaan mendalam. Selain itu, 70% mahasiswa merasa Canva membantu menciptakan materi yang menarik dan mudah dipahami. Penelitian ini merekomendasikan pelatihan literasi digital berbasis proyek, serta kolaborasi dosen dan mahasiswa untuk meningkatkan literasi digital. Untuk penelitian ke depan disarankan memperluas sampel, menggunakan metode mixed-methods untuk analisis yang lebih mendalam, serta mengeksplorasi dimensi literasi digital lainnya.Katakunci: Canva; literasi digital; media; teknologi pembelajaran 
Conceptual operation strategies of artificial intelligence metaphors in Indonesian mass media: A cognitive linguistic study Mansyur, Umar; Jufri
LITERA Vol. 24 No. 3: LITERA (NOVEMBER 2025)
Publisher : Faculty of Languages, Arts, and Culture Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/ltr.v24i3.83275

Abstract

This study aims to analyze the conceptual operation strategy of artificial intelligence (AI) metaphors in Indonesian mass media using cognitive linguistic studies. This research uses a qualitative approach with Christopher Hart’s Cognitive Linguistic–Critical Discourse Studies (CL-CDS) analysis method. Data sources came from online mass media articles that have a major influence on public opinion in Indonesia. Data were collected using documentation study techniques and analyzed using four CL-CDS strategies, namely structural configuration, framing, identification, and positioning. The results indicate that AI metaphors in mass media not only frame the way humans perceive AI capabilities and functions but also reflect the ideology and power behind current technological developments. This demonstrates the use of technological ideologies to support an agenda that enlarges society’s dependence on technological systems controlled by large corporations or the state while reinforcing existing power structures. This research contributes to providing insights for media practitioners, policymakers, and academics on the effective use of metaphors in conveying information about AI while considering its ideological and social impacts. Future research recommendations include analyzing the role of social media in framing AI, as well as investigating the ethics and social impact of AI discourse in the mass media.
Differentiated Instruction Based on Lesson Study to Improve Critical Thinking and Collaborative Skills in EFL Class Sulaiman, Rizkariani; Umar Mansyur; Hilal Surahmatullah; Elena Tikhonova
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 12 No. 1 (2026): Penulis pada Edisi ini Terdiri dari Enam (6) Negara: Indonesia, Malaysia, Chin
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v12i1.7699

Abstract

This classroom action research aimed to investigate how differentiated Instruction using Lesson Study enhances students’ critical thinking and teamwork skills in learning English. The study took place in class 8.2 at UPT SPF SMP Negeri 23 Makassar, Indonesia, during the 2025/2026 school year, involving 37 eighth-grade students. Two cycles of Lesson Study-based action research (Plan-Do-See and Re-Plan-Do-See) were carried out, focusing on teaching the simple past tense, recount texts, and modals expressing ability or inability. Instruction was tailored based on students’ readiness, interests, and learning styles (visual, auditory, kinesthetics). Data collection included rubrics for critical thinking and collaboration, classroom observations, and field notes. Quantitative results showed consistent growth in students’ critical thinking. The average score increased from 2.3 (Sufficient) before the intervention to 2.8 (Good) after Cycle I and to 3.3 (Very Good) after Cycle II (scale 1–4). The percentage of students meeting the mastery criterion (score ≥ 3.0) rose from 13.5% to 54.1% and then to 81.1%. Collaboration skills also improved, with the average score rising from 2.5 (Sufficient) to 3.0 (Good) and 3.4 (Very Good), with a shift from most students in the Sufficient category to most in the Good–Very Good categories. Qualitative data revealed changes from one-student-dominant group work and brief, unsupported answers to more shared participation, clearer roles, reasoned arguments, and reflective group discussions. These findings suggest that differentiated instruction within a Lesson Study cycle effectively promotes critical thinking and collaboration in junior high school EFL classes and aligns with the goals of the Kurikulum Merdeka and 21st-century skills.
Deep Learning Approach in Argumentative Writing to Improve Critical Thinking and Rhetorical Structure Dewi, Anita Candra; Mansyur, Umar; Baharman, Baharman; Usman, Usman
DIDAKTIS : Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol 4 No 1 (2026): DIDAKTIS: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Publisher : Fakultas Sastra, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/didaktis.v4i1.1071

Abstract

This study aims to analyze the effect of the application of a deep learning approach in a argumentative writing instruction on the critical thinking skills and the quality of the rhetorical structure of students' writing in the Indonesian Language and Literature Education Study Program at Universitas Negeri Makassar. This study used a quantitative approach with a quasi-experimental design involving two groups, namely the experimental class and the control class. The research sample consisted of 70 students consisting of 35 students in the experimental class and 35 students in the control class. Data collection techniques were carried out through argumentative writing tests and critical thinking ability tests carried out at the pretest and posttest stages. The data obtained were analyzed using inferential statistical analysis through an independent sample t-test. The results of the study showed that the application of the deep learning approach had a significant effect on improving students' argumentative writing skills. This was indicated by an increase in the average score in the experimental class which was higher than the control class. In addition, students in the experimental class showed better abilities in compiling the rhetorical structure of the text, which includes claims, reasons, evidence, and conclusions more systematically. The findings of this study indicate that the deep learning approach can encourage students to think more critically and develop arguments more logically and structured in academic writing. Thus, this approach can be an effective learning strategy to improve the quality of writing learning in higher education.
PENGARUH BAHASA DAERAH TERHADAP POLA KOMUNIKASI MAHASISWA FAKULTAS SASTRA UNIVERSITAS MUSLIM INDONESIA Rahmat Rahmat; Umar Mansyur
INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia Volume 1 Number 3 October 2020
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/indonesia.v1i3.15189

Abstract

The Influence of Regional Language on Communication Patterns of Students of the Faculty of Letters, Muslim University of Indonesia. This study aims to examine the description of regional language and its effect on student communication patterns. This type of research is quantitative research with regression techniques using a questionnaire instrument. The research data was sourced from students of the 2019 Indonesian Language and Literature Study Program. The number of samples was 59 people using descriptive statistical data analysis techniques and inferential statistics. The results showed that the local language had a significant influence on student communication patterns.