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All Journal Journal of Education, Language Innovation, and Applied Linguistics MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN
Al-Matari, Ali Said
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Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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The Students' Motivation and Achievement in Learning English: The Correlational Study Asrifan, Andi; T. Zita, Cris; Abd Al-Lateef, Ghada Tosson; Enriquez, Alexis Arizabal; Muthmainnah, Muthmainnah; Al-Matari, Ali Said
Journal of Education, Language Innovation, and Applied Linguistics Vol 2, No 2 (2023): JELITA: Journal of Education, Language Innovation, and Applied Linguistics
Publisher : Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jelita.v2i2.6589

Abstract

The students have a lot on their plates already, and one of the biggest is the academic activity. Researchers have shown a correlation between intrinsic motivation and academic performance. Students' English proficiency is also influenced by their level of interest and effort in learning the language. The purpose of this research was to determine if and how students at MA Muhammadiyah Darul Arqam Punnia Labumpung, Kab. Pinrang is motivated to learn English based on their academic performance. Students' interest in English and effort in studying the language were found to be significantly related. This was demonstrated by a correlational study on students' motivation and their performance on an English language test. The first piece of good news is that the SPSS 21 program's computed r value is greater than the table at both the 5% and 1% significant level (0.367 0.852 > 0.47). Second, the computation of the contribution between student motivation and achievement in English showed that student motivation (variable X) contributed roughly 72.59% contribution to the achievement (variable Y) of the sample class, while the remaining 25.41% was influenced by other factors. Keywords: Students’ Motivation, Learning English, and English Achievement.
Beyond Digitalization: AI-Driven Administrative Management and Its Impact on School Quality Improvement Maskanah, Maskanah; Adiyono, Adiyono; Muhammad, Nur; Al-Matari, Ali Said; Waziroh, Iro
Muallimun : Jurnal Kajian Pendidikan dan Keguruan Vol 6 No 1 (2026): Vol. 6 No. 1 (2026): MUALLIMUN in-Press
Publisher : Institut Agama Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/muallimun.v6i1.11137

Abstract

The fast-disrupting entry of artificial intelligence (AI) into educational administration has warranted the need to decipher how digital transformation works beyond passing technical efficiencies; indeed, digital transformation creates havoc at the heart of school quality improvements. Existing literature mainly focuses on technology adoption and results pertaining to performance outcomes, while relatively lesser emphasis is given to the introduction of organizational and professional changes that accompany AI-borne administrative practices. This study aims to analyze the re-engineering of administrative workflows, decision-making, and professional roles in school management as a function of AI-supported administrative management. This research took a qualitative case study approach to provide a deeper understanding of AI-enabled administrative change in a school context. Data were gathered through semi-structured interviews with school leaders and administrative staff, non-participant observation of administrative processes, and secondary document analysis. The data were thematically analyzed for recurring patterns of efficiency, transparency, and transformation of professional practice. The findings suggest that AI-based administration improves the means of procedure efficiency and enhances the accuracy and transparency of data, and refashions administrative roles to function more in analytical and coordinative aspects rather than in routine clerical functions. Most significantly, the study shows that AI in reality acts as an enabling infrastructure restructuring administrative logic and organizational practices, but does not simply automate them. The results depict the importance of adopting a process perspective of AI integration, which can inform better and more context-specific educational management policies.
Co-Authors Abd Al-Lateef, Ghada Tosson Adiyono Asrifan, Andi Enriquez, Alexis Arizabal Maskanah Maskanah Muthmainnah Muthmainnah Nur Muhammad T. Zita, Cris waziroh, iro