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Needs Analysis for English Syllabus Design Based on Natural Approach at Islamic Boarding School Riska Ramadhani; Dewi Yana; Warno Edi
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.49969

Abstract

A needs analysis is essential for teachers to develop and identify the appropriate materials for students, as well as to determine the methods and strategies to use in each class. This study aims to find information regarding the student’s needs for English courses at Islamic Boarding School Muhammad Al-Haqqi Batam. The researchers carried out qualitative research. The participants in the study consisted of 14 students. The data collection instruments were in a questionnaire sheet and the form of a short interview. The needs analysis included distributing questionnaires to students to gather information related to the requirements of the English course. The study's findings show that students understand the value of studying English for their future, which motivates them to enhance their English abilities. Syllabuses for English lessons should be modified to coincide with their needs, which allows them to practice English and use their abilities for future success.
Enhancing adaptability in educational research: the role of AI-Driven Tools in VUCA environments Desi Surlitasari Dewi; Safnidar Siahaan; Eka Wilany; Adam Adam; Riska Ramadhani; Shita Aulia Saicindo; Mega Aulia Ardhi
Panicgogy International Journal Vol. 3 No. 1 (2025): pij
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pij.v3i1.160

Abstract

This study explored how Artificial Intelligence (AI) tools enhanced the adaptability of research methodologies in the field of education, particularly in environments characterized by volatility, uncertainty, complexity, and ambiguity (VUCA). With the rapid pace of change in educational settings, AI technologies such as automated data analysis, intelligent learning systems, and natural language processing (NLP) were increasingly used by educational researchers. This research focused on identifying how AI-driven tools helped educational researchers respond flexibly and effectively to challenges that arose in complex and uncertain contexts. The researchers recommended developing comprehensive training programs for educators to enhance AI literacy, establishing ethical guidelines for AI in education focusing on data privacy, algorithmic fairness, and transparency, and encouraging interdisciplinary collaboration among educators, technologists, and policymakers to create scalable, equitable, and sustainable AI-enhanced learning frameworks, ensuring that AI's potential was harnessed for the benefit of all learners.