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All Journal IJLECR (International Journal of Language Education and Cultural Review) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Review Pendidikan dan Pengajaran (JRPP) Bahasa Indonesia Prima Jurnal Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Pengabdian Masyarakat (ABDIRA) Unram Journal of Community Service (UJCS) Journal Of Human And Education (JAHE) International Journal of Educational Research Excellence (IJERE) Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Surakarta English and Literature Journal Innovative: Journal Of Social Science Research Majority Science Journal Journal of Social Science Utilizing Technology International Journal of Language and Ubiquitous Learning Enigma in Education Journal of Social Science Utilizing Technology Kamara Journal Jcommits : The Journal of Community Empowerment, Innovation, and Sustainability
Muh. Safar, Muh.
STKIP Muhammadiyah Bone
Religion Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Physics Public Health Social Sciences Transportation Other

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Journal : International Journal of Language and Ubiquitous Learning

 1 
Learning Pattern Analysis through Learning Analytics: Improving Language Learning in Ubiquitous Contexts Safar, Muh.; Santos, Luis
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1770

Abstract

Background. The increasing use of technology in education, particularly application-based learning, has the potential to enhance language learning. Effective language acquisition relies on analyzing learning patterns to improve student engagement and outcomes. With the growing role of learning analytics, this research explores how technology can be applied to understand and improve language learning in a broader context. Purpose. The study aims to analyze language learning patterns through learning analytics and explore how technology can contribute to enhancing language learning in various contexts. Specifically, it focuses on identifying how different learning behaviors and engagement levels influence language proficiency. Method. A quantitative research approach was used, collecting data from 200 learners who utilized language learning applications. The data were analyzed to identify patterns in user engagement and learning behaviors, focusing on the relationship between time spent on different types of learning materials and language proficiency outcomes. Results. The findings reveal that learners who spent more time engaging with conversation and writing materials generally showed better language skills. In contrast, students with basic language proficiency were found to focus more on grammar and vocabulary materials. This suggests that more advanced learners benefit from interactive, communicative tasks, while beginners need a focus on foundational elements like grammar and vocabulary. Conclusion. The study concludes that language learning is more effective when it involves social and contextual interaction, rather than relying solely on passive methods like memorization. These findings offer valuable insights for the design of language learning applications that are more adaptive to student preferences, encouraging more personalized and engaging learning experiences. The research highlights the importance of considering different learning patterns to enhance the overall effectiveness of language learning technology.
Prediction of Indonesian Learning Achievement Using Machine Learning Models Safar, Muh.; Anis, Nina
International Journal of Language and Ubiquitous Learning Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i1.1921

Abstract

Background. Student learning achievement is one of the important indicators in assessing the effectiveness of education. Various factors such as student attendance and socioeconomic status have been known to affect learning outcomes. However, the influence of access to technology in the context of education in Indonesia has not been studied in depth. In today's digital era, access to technology is an important aspect that can support or hinder the learning process of students. Purpose. This study aims to analyze the influence of student attendance, socioeconomic status, and access to technology on student learning achievement. In addition, this study also aims to test the accuracy of machine learning models in predicting student exam results based on these variables. Method. This study uses a quantitative approach with the application of machine learning models, including linear regression and decision trees. The data used includes students' test scores, attendance levels, socioeconomic status, and access to technology devices and networks. Results. The results of the analysis showed that student attendance, socioeconomic status, and access to technology had a significant influence on learning achievement. The machine learning model applied is able to predict students' exam results with a high level of accuracy, demonstrating the effectiveness of this approach in educational analysis. Conclusion. This study emphasizes the importance of external factors, especially access to technology, in predicting student learning achievement. A more inclusive education policy is needed by expanding access to technology and educational facilities, in order to support the equitable distribution of learning quality in all circles.
Co-Authors A. Tamagola, Rendi Hadian Adam, Muh. Wahyu Suryandi Agus Rofi’i Aldina, Fauzi Alfiana, Tanti Andi Srimularahamah Anis, Nina Annas, Annisa Nuraisyah Arif Rahman Aulia Jamnawi Asmirawanti, Asmirawanti Awaludin, Dipa Teruna Baharuddin Baharuddin cahyono, didik Darimis Darimis Darmun, Darmun Dewi, Dyah Utami Dini Anggraheni Dini Anggraheni, Dini Fahri Akbar Fansiska, Fini Widya Firayani, Firayani Fitriana, Irna Gamar Abdullah Gamar Al Haddar, Gamar Al Gatot Wijayanto Hanum, Gilang Kartika Haryanto Haryanto Hasbar, Andi Nur Elisa Hasmariyanti Ika Kartika Ilham Ilham Indriani, Novita Khoiri, Moh Kraugusteeliana Kraugusteeliana Maria Purnama Nduru Masruchiyah, Nieke Meldayani, Meldayani Muhamad Iqbal Akbar Asfar, A. Muhammad Asdar Muhammad Irfan Taufan Asfar, A. Muktar, Muktar Mumu Muzayyin Maq Muthawali, Dede Ibrahim Nanda Pambudi Ningsi, Surya Nurannisa, A. Nurhayati4, R. Opan Arifudin PAHAR KURNIADI, PAHAR Raden Mohamad Herdian Bhakti Riska, Andi Rosalia, Olyvia Rukiyanto Rukiyanto, Rukiyanto Sabarti Akhadiah, Sabarti Safarudin, Muhamad Sigid Santos, Luis Santosa, Tomi Apra Sari, Windy Dian Sasabone, Carolina Satriah, Satriah Sitti Hasnah Solissa, Everhard Markiano Srimularahamah, Andi Srimularahmah , Andi Srimularahmah, Andi Sua, Andi Tenri Sukini, Sukini Suseno Suseno Syahriani Syahriani, Syahriani ULUK, EMBANG Uswatun Hasanah Yenny Febrianty Yulita