Case Study

Case Study

DOI: 10.4018/979-8-3693-2603-9.ch012
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Abstract

This chapter delves into the impact of case studies within applied linguistics and language education, underscoring its indispensable role in navigating the complexities of contemporary language learning and teaching. The chapter illuminates how this approach facilitates a nuanced understanding of linguistic phenomena within real-life contexts by examining the case study method's core principles, design, and implementation strategies. Emphasizing the flexibility and adaptability of case studies, the chapter showcases their capacity to offer in-depth, rich insights that transcend traditional research methodologies. This chapter also articulates an argument for integrating case studies in advancing the field's knowledge base and practice by aligning its mission with the book's overarching aim. Concluding with a reflective synthesis, the chapter invites researchers and practitioners alike to engage with the case study, highlighting its transformative potential and enduring impact on applied linguistics and language education.
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Case Study: Types, Designs, And Implementation

The case study approach stands as a model of research in applied linguistics and language education, offering a kaleidoscope of methodologies that allow for the dissection of phenomena within their real-life settings (Cohen et al., 2013; Duff, 2014; Stake, 1995; Tight, 2022; Yin, 1994, 2013, 2014, 2018). With various types mirroring the intricacies of the subjects under study, case studies bring forth subtle and transformative interpretations of linguistic and language environments. (Bardovi-Harlig,1999; Duff, 2014; Yin, 2018). This chapter highlights the distinct types of case studies, each purpose-built to meet specific research goals

Key Terms in this Chapter

Methodological Rigor: The application of thorough and consistent research methods, ensuring reliability and validity in data collection and analysis.

Triangulation: Employing multiple methods or data sources in a study to enhance the reliability of the findings.

Contextual Analysis: A research method focused on understanding the context in which a subject operates, including cultural, social, and environmental factors.

Digital Tools in Research: The use of advanced technology for data collection, analysis, and presentation in research.

Digital Learning Environments: Platforms and contexts where learning occurs through digital means, including online courses, virtual classrooms, and educational software.

Case Study: A research approach focusing on the in-depth investigation of a specific instance or phenomenon within its real-life context.

Cultural Sensitivity: Acknowledging and respecting research participants' cultural differences and backgrounds.

Stakeholder Engagement: Involving various parties, such as participants, practitioners, and policymakers, in the research process to enhance the study's relevance and applicability.

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