Syahrul Ramadhan
National Research and Innovation Agency (BRIN)

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Analysis of Factors Inhibiting First Grade Students' Beginning Reading Jordi Andrea; Fitri Sakinah; Syahrul Ramadhan; Elifia Sukma
EDUTEC : Journal of Education And Technology Vol. 7 No. 2 (2024): March 2024
Publisher : STAI Miftahul Ula Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/edu.v7i3.778

Abstract

Optimal conditions for beginning reading in grade I students are achieved when they have the ability to recognize letters, words, syllables and sentences, and are able to read fluently. However, the situation at SDN 20 Kurao Pagang shows that some grade I students experience difficulties in beginning reading. This study aims to analyze the factors inhibiting the ability to read beginning in grade I students of SDN Kurao Pagang, Nanggalo District, Padang City, in the 2022/2023 academic year, and describe alternative solutions to overcome these problems. The research method used was qualitative with a case study design. Data collection techniques involved observation, interviews, tests and documentation. The results showed that the factors inhibiting beginning reading in 8 grade I students of SDN 20 Kurao Pagang involved intellectual aspects, family environment, teaching methods at school, motivation from parents and self, student interest, student health, and online learning. Alternative solutions involved using appropriate learning methods, a variety of learning media, and special attention to students' needs. The conclusion from the results and discussion shows that the factors that hinder beginning reading include various aspects, and alternative solutions need to be implemented, such as the use of more diverse learning methods and media, as well as special attention to each student.
Research Trends in Artificial Intelligence in English Language Teaching (ELT): A Bibliometric Analysis Didin Nuruddin Hidayat; Syahrul Ramadhan; Mahlil Mahlil; Jon Mason; Rodi Hartono; Afif Ikhwanul Muslimin
Studies in English Language and Education Vol 12, No 2 (2025)
Publisher : Universitas Syiah Kuala

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Abstract

The integration of artificial intelligence (AI) into education has gained significant attention over the past few years, driven by the potential of AI to revolutionize teaching and learning processes. Despite the growing body of research on the application of artificial intelligence (AI) in education, there remains a significant gap in understanding its trends and specific details within English Language Teaching (ELT). This study presents an analysis and snapshot of contemporary research trends in AI applications in ELT using bibliometric analysis. By leveraging publication from the 2019-2024 Scopus database, key patterns and themes within the existing literature are identified. The study systematically collected and analyzed 1,994 documents, including articles, conference papers, and reviews from 522 sources and 3,316 authors. The analyses identify the most productive authors, sources, affiliations, and countries. Additional bibliographic coupling analysis reveals seven main clusters. These clusters range from AI applications in contextual language learning to big data analysis in ELT. Co-occurrence network analysis further underscores the interconnectedness of various research topics, such as machine learning, natural language processing, and autonomous learning systems. The findings have several important implications. The growing body of research indicates that AI technologies are increasingly being integrated into educational practices, offering more personalized, efficient, and engaging learning experiences. This study provides a detailed overview of the current landscape of AI research in ELT. By understanding these dynamics, educators, researchers, and policymakers can better leverage AI technologies to enhance educational outcomes and address the evolving needs of learners in a rapidly changing digital world.