Chapter 4 – Linguistic environment & Input hypothesis

Chapter 4 of the book discusses various topics related to second language acquisition, including first language acquisition, bilingualism acquisition, heritage language acquisition, third language acquisition/multilingualism, linguistic environment, cognitive-interactionism, acculturation model, input hypothesis, comprehensible input, interaction and negotiation for meaning, and output and syntactic processing during production. The chapter begins by discussing first language acquisition, which…

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Chapter 3 – Language Development in Children

Chapter 3 focuses on the stages of language acquisition and the factors that influence language development. The chapter also discusses the critical period hypothesis, which suggests that there is a biologically determined window of opportunity for language acquisition, and the importance of interactional modifications and feedback in second language acquisition. The chapter begins by discussing the…

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Chapter 2 – The History of Second Language Acquisition

Chapter 2 covers a range of topics related to second language acquisition (SLA), including its history, various theories of SLA, the impact of social and cultural factors, the role of technology, and the benefits of bilingualism. The chapter starts with a brief history of SLA and an overview of behaviorist, cognitive, and social-cultural theories of…

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Chapter 1: Introduction to Second Language Acquisition

Chapter 1 covers the fundamental concepts of second language acquisition (SLA). The chapter begins by defining SLA and explaining that SLA refers to the process by which individuals acquire proficiency in a language other than their first language. The chapter then provides an overview of the factors that influence SLA, including age, cognitive development, social…

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Chapter 9 – Structure of a Thesis

The conventional structure of an M.A. or Ph.D. thesis in language education is divided into many components. A short summary of the research topic, research questions, aims, and importance of the study are given in the Introduction, the first part. The literature review part offers a theoretical foundation for the study as well as a…

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Chapter 8: Data Analysis and SPSS Statistics

Using SPSS Statistics specifically, Chapter 8 focuses on data analysis and hypothesis testing in the context of teaching languages. The chapter discusses several data types (nominal, ordinal, interval, and ratio), how to interpret descriptive statistics, and various hypothesis tests, such as the independent samples t-test, paired samples t-test, one-sample t-test, correlation, and one-way ANOVA. Overall,…

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Chapter 7: Population and Sample

The lecture goes through the fundamentals of population and sampling techniques used in research studies, with a focus on language education. It clarifies the meaning of the terms population and sample and the benefits and drawbacks of probability-based and non-probability-based sampling techniques. In order to assure the representativeness and generalizability of the study results, the…

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Chapter 6 – Language tests and assessments

Language exams and assessments are discussed in Chapter 6 of a book on language acquisition and teaching. The many kinds of language exams, their objectives, and the abilities they evaluate are covered in this chapter. Standardized language tests and teacher-created language exams make up the chapter’s two primary components. Tests that have been created and…

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Chapter 5 – Data Collection techniques

Surveys and questionnaires, interviews, observations, experiments, corpus analysis, language exams and assessments, and recording and transcription are just a few of the research techniques covered in Chapter 5 that are often employed in language education research. Each of these research techniques may be used to examine various aspects of language learning and instruction, and each…

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Chapter 4: Quantitative Research Designs

This book’s Chapter 4 specializes on quantitative research strategies. The goal of quantitative research is to measure and analyze numerical data in order to understand, forecast, or regulate occurrences. The primary categories of quantitative research designs—experimental, quasi-experimental, correlational, survey, longitudinal, and cross-sectional—will be covered in this chapter. We will go through the features, benefits, and…

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