ISSN: 2222-6990
Open access
This study provides a comprehensive analysis of current trends in language education, focusing on the most frequently used statistical methods, platforms, and sample populations. By examining 30 studies on language teaching and learning, the research identifies the dominant practices in both Arabic and other languages. The findings indicate that SPSS is the most commonly used tool for statistical analysis, alongside advanced techniques such as proportional odds logistic regression (POLR) and quasi-experimental designs. In terms of platforms, a shift towards technology-based methods is evident, with MOOCs, AI-powered Intelligent Personal Assistants (IPAs), and virtual reality (VR) platforms becoming prominent tools for enhancing language learning. The study also reveals that university and primary school students are the most frequently analyzed sample groups, while teachers and students with special learning needs are also gaining attention in recent research. This review underscores the evolving nature of language education and highlights the importance of integrating modern technology with traditional teaching methods to cater to diverse learner populations. The study’s findings contribute to the growing body of research on language education, offering insights that can inform future educational practices and research in this field.
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