Tracking Early Career Researchers in EFL / ESL Studies
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Tracking early career researchers in English as a Foreign Language (EFL) and English as a Second Language (ESL) studies is essential for understanding the evolving landscape of language acquisition and pedagogy. These researchers, often at the forefront of innovative methodologies and practices, bring fresh perspectives that contribute to the field's growth. Tracking their work can identify emerging trends, challenges, and opportunities, and help assess the impact of their contributions on both theoretical frameworks and practical applications in language teaching. Continual exploration and mo...
Tracking early career researchers in English as a Foreign Language (EFL) and English as a Second Language (ESL) studies is essential for understanding the evolving landscape of language acquisition and pedagogy. These researchers, often at the forefront of innovative methodologies and practices, bring fresh perspectives that contribute to the field's growth. Tracking their work can identify emerging trends, challenges, and opportunities, and help assess the impact of their contributions on both theoretical frameworks and practical applications in language teaching. Continual exploration and monitoring of their progress may shape the future direction of EFL and ESL research, ensuring it remains responsive to the needs of learners, educators, and the broader linguistic community. Tracking Early Career Researchers in EFL / ESL Studies examines the contextual factors that play a role in identity construction, resilience, academic stress, or career projections of early-career researchers. It explores the rise of neo-liberal educational policies, the commodification of education, the credentials inflation, ranking systems, and criteria-based promotion policies in higher education process, which pressure early career researchers. This book covers topics such as digital technology, linguistics, and qualitative research, and is a useful resource for academicians, researchers, linguists, language educators, computer engineers, and data scientists.
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