Claim Missing Document
Check
Articles

Found 2 Documents
Search

Strategic Management Approaches for Enhancing English-Speaking Proficiency in Language Education Fakhrini, Rifa Rizkia; Na'imah; Irmawati; Zidny, Irvan
Biormatika : Jurnal ilmiah fakultas keguruan dan ilmu pendidikan Vol. 10 No. 2 (2024): Biormatika : Jurnal ilmiah fakultas keguruan dan ilmu pendidikan
Publisher : Universitas Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35569/biormatika.v10i2.1676

Abstract

This study explores effective strategies for teaching English speaking skills and the factors that influence implementing these strategies. The study discussed the strategies used in speaking learning, why they are chosen, and their implications for students speaking success. The strategies referred to in this study encompass methods, resources, and media used in achieving success in learning to speak English. The research method employed is qualitative with a case study approach. The study was conducted in March 2023 at some schools and English courses, with ten teachers serving as informants. Data collection was carried out through indirect interviews via WhatsApp and GoogleForm. The main findings show that role-play and chain drill methods are the most frequently applied strategies and are considered effective in improving students speaking skills. The main factors that influence the use of these strategies include students interest and the relevance of the material. The implications of this study highlight the importance of selecting strategies that are appropriate to students characteristics and learning contexts, and this study shows the need to adapt teaching methods based on the availability of resources and environmental support. The results of this study provide insights for educators to design and implement more effective speaking learning strategies and encourage further discussion on innovation in English language learning.
Bahasa Inggris Zidny, Irvan; Puspitasari, Ira; Yuadi, Imam
Jurnal Penelitian Pendidikan IPA Vol 9 No 8 (2023): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i8.4531

Abstract

This study presents a novel approach to assist learning analysts in identifying suitable learning pathways based on historical training data through the utilization of text mining techniques. The dataset utilized in this research comprises training data from the year 2021 and the Course Development Management Program (CDMP) catalogue. The BERT 'bert-base-nli-mean-tokens' model is employed for encoding purposes. By comparing the training data names from 2021 with the CDMP catalogue using cosine similarity and dot score, valuable insights are obtained. The findings indicate that cosine similarity is a more effective measure for interpreting the data, thereby simplifying the process for learning analysts and managers in identifying appropriate learning paths for their employees. This research provides a practical solution that leverages text mining techniques to optimize the analysis and decision-making processes in learning and development domains, enabling organizations to enhance the effectiveness and efficiency of their training programs.