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All Journal Al Ishlah Jurnal Pendidikan RETORIKA: Jurnal Bahasa, Sastra, dan Pengajarannya
Muhalim Muhalim
Fakultas Bahasa Dan Sastra, Universitas Negeri Makassar
Education Languange, Linguistic, Communication & Media Mathematics Other

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COVID-19 ADVERTISING LANGUAGE LOCUTIONARY, ILLOCUTIONARY AND PERLOCUTIONARY FORMS ON SOCIAL MEDIA (A SOCIOPRAGMATIC STUDY) Abdul Rahman Rahim; Andi Syukri Syamsuri; Muhalim Muhalim; Arifuddin Arifuddin
RETORIKA: Jurnal Bahasa, Sastra, dan Pengajarannya Vol 16, No 2 (2023)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/retorika.v16i2.32531

Abstract

This study seeks to conduct an analysis of locutions, illocutions, and perlocutions within the context of the utilization of the Indonesian language in public service advertisements pertaining to the subject of Covid-19. The research conducted is classified as a qualitative descriptive study. Data for this research endeavor were collected in May 2021 through meticulous note-taking and documentation techniques. Subsequent data analysis ensued through a structured sequence of procedures, which encompassed: identification, classification, analysis, interpretation, and description, with the latter aimed at providing a comprehensive overview of the outcomes of the data analysis. The focal point of this inquiry is the realm of Public Service Advertisements that revolve around the theme of Covid-19. Our scrutiny primarily pertains to an examination of the locutionary, illocutionary, and perlocutionary dimensions of these advertisements.  Upon the thorough examination of the ten public service advertisements included in this study, spanning various mediums such as television, billboards, and social media, it was discerned that all of them shared a common objective. The locutionary aspect, serving as the foundational semantic content, predominantly conveys basic information concerning the transmission of Covid-19. In parallel, the illocutionary facet of these messages serves as a cautionary directive, imparting a sense of urgency and imparting an effect stemming from the act of speech. Furthermore, the perlocutionary dimension of these messages, specifically regarding Covid-19, invokes a call to action. This entails the necessity of disrupting the transmission chain of the Covid-19 virus while simultaneously bolstering one's immune system, rigorously implementing health protocols, and adopting measures to flatten the curve of Covid-19 transmission.
English Education Students' Perceptions of Automated vs Human Assessment in Spoken English Proficiency Nur Aeni; Muhalim Muhalim; Hasriani Ganteng; Muhammad Tahir; Ahmad Talib
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 3 (2025): SEPTEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i3.7655

Abstract

The increasing use of automated evaluation systems in language assessment raises questions about their acceptance and perceived fairness compared to human evaluation. This study examines how English Education students perceive automated and human assessment of spoken English proficiency, focusing on factors influencing acceptance and preferences for hybrid models. A mixed-methods design was employed with 120 English Education students (80 female, 40 male) from Universitas Negeri Makassar. Quantitative data were collected using a 20-item Likert-scale questionnaire (Cronbach’s α = .87) covering six dimensions: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Technology, Self-Efficacy, Behavioral Intention, and Personal Innovativeness. Qualitative data from semi-structured interviews explored students’ experiences and preferences regarding automated and human evaluation. Descriptive statistics indicated generally positive perceptions of automated evaluation, with the highest mean scores for “Automated feedback helps improve pronunciation and fluency” (M = 3.9, SD = 0.928) and “I enjoy playing with new technology in language acquisition” (M = 4.0, SD = 1.071). However, the lowest score for “I plan to use automated evaluation frequently” (M = 2.7, SD = 1.071) reflected hesitancy toward regular use. Thematic analysis revealed three main themes: appreciation of efficiency but skepticism about accuracy, preference for human empathy and contextual understanding, and concerns about algorithmic bias, particularly for non-standard accents. Students strongly favored a hybrid approach, endorsing AI for preliminary feedback and routine practice while valuing human evaluation for comprehensive assessment and motivational support. These findings suggest the need for transparent, inclusive AI tools integrated with human oversight to achieve balanced, pedagogically sound evaluation frameworks in English language education.
Co-Authors Abdul Rahman Rahim Ahmad Talib Andi Syukri Syamsuri Arifuddin Arifuddin Hasriani Ganteng Muhammad Tahir Nur Aeni