Rovikasari, Mala
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

TRENDS AND PATTERNS IN PROBLEM-BASED LEARNING RESEARCH FOR ENGLISH LANGUAGE TEACHING: BIBLIOMETRIC STUDY Rovikasari, Mala; Mutammimah, Heppy; Jati, Anida Fadhilah
UICELL No 7 (2023): UICELL Conference Proceedings 2023 (in progress)
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This bibliometric study aims to explore the evolving landscape of research related to problem-based learning (PBL) in English language teaching (ELT). The research design comprehensively reviews academic publications from Google Scholar databases. The data is collected through Publish or Perish, and the analysis is conducted using bibliometric techniques. The research procedure consists of systematic literature searching and data extraction, followed by rigorous data analysis using Vosviewer. The bibliometric mapping using Vosviewer indicates fluctuating development in problem-based learning in English language teaching from 2015 to 2023, supported by 994 indexed publications on Google Scholar. The 30 patterns identified in this field form five dominant clusters: curriculum, English language teaching, experience, foreign language, learner, learning English, performance, task, ability, creativity, critical thinking skill, effectiveness, influence, learning model, outcome, active learning, challenge, interest, opportunity, practice, problem-based learning, systematic review, focus, inquiry, project, technology, total, higher order thinking skill, improvement, and perception. Keywords: Problem-based Learning, ELT, Bibliometric, Vosviewer, Publish or Perish
The Interplay Among AI, Language Research, and Academic Publishing: A Systematic Review of Trends and Future Directions Tatipang, Devilito P.; Pontillas, Marlon S.; Alrajafi, Gali; Rovikasari, Mala; Ndruru, Falentinus
Journal of English Culture, Language, Literature and Education Vol. 12 No. 2 (2024): E-CLUE: Journal of English Culture, Language, Literature, and Education
Publisher : English Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/eclue.v12i2.4602

Abstract

The transformative role of Artificial Intelligence (AI) in language research and academic publishing has garnered significant attention in recent years. This systematic review explores the interplay among AI, language research, and academic publishing, focusing on trends, challenges, opportunities, and future directions. A total of 30 peer-reviewed articles published between 2020 to 2024 were analyzed using PRISMA guidelines to ensure comprehensive coverage. Findings reveal that AI technologies such as Natural Language Processing (NLP), machine translation, and automated peer-review systems are revolutionizing methodologies in linguistic studies and scholarly dissemination. While the adoption of AI presents numerous opportunities such as enhanced accessibility, increased efficiency, and advanced linguistic analysis it also raises challenges. Key concerns include ethical issues, data privacy, biases in AI algorithms, and resistance to adoption due to fears of over-reliance on automation. Additionally, the future of AI in these domains points to exciting possibilities, including ethical AI development, generative AI’s role in redefining authorship, and the integration of AI literacy into academic training. This review contributes to the growing discourse by mapping current trends and identifying gaps in research, offering actionable recommendations for stakeholders. It underscores the need for responsible and inclusive AI practices to harness its potential fully, ensuring sustainable advancements in language research and academic publishing.