Digital and Internet-Based Research Methods in Applied Linguistics.

Format:

Book

Author/Creator:

Kessler, Matt.

Series:

Research Methods in Applied Linguistics Series

Research Methods in Applied Linguistics Series ; v.15

Language:

English

Subjects (All):

Applied linguistics--Methodology.

Applied linguistics.

Computational linguistics.

Corpora (Linguistics).

Physical Description:

1 online resource (447 pages)

Edition:

1st ed.

Place of Publication:

Amsterdam/Philadelphia : John Benjamins Publishing Company, 2026.

Summary:

This edited volume examines topics related to digital and internet-based research methods in the interdisciplinary field of applied linguistics.

Contents:

Intro

Table of contents

Notes on contributors

About the editor

About the authors

Chapter 1 Introduction

1. The digital, online nature of society and work

2. Audience, chapters previews, and internal organization

3. Conclusion

References

Section I Methodologies and approaches

Chapter 2 Research synthesis

1. Introduction

2. Frequently asked research questions

3. Implementation

Preparation

Method

Report

4. Example studies

Marsden et al. (2018)

Çiftçi and Savaş (2018)

Aryadoust and Ang (2021)

Plonsky (2023b)

Siegel et al. (2024)

5. Ethics and research integrity considerations

6. Challenges and issues

7. Future research directions

Chapter 3 Digital discourse approaches

Lewis and Weston (2019)

Windle and Possas (2023)

Breazu and Machin (2022)

Grusauskaite et al. (2022)

McCullough and Lester (2021)

Chiang et al. (2024)

Chapter 4 Netnography and digital ethnographic approaches

Data sources

Investigative data

Interactive data

Immersive data

Research process (step-by-step guide)

Step 1

Step 2

Step 3

Step 4

Step 5

Janes and Chen (2024)

Yu and Xu (2024)

Nguyen and Pham (2023)

Chen et al. (2023)

Wang et al. (2024)

Discussion

Before the study

During the study

After the study

Challenges in data collection

Challenges in data analysis

7. Future research directions.

AI integration

Emotional studies in digital contexts

Underrepresented languages and populations

Section II Common sites for data collection

Chapter 5 Online courses and education platforms

Student perceptions, behavior, and learning

Teacher behavior, perceptions, and experiences

Teacher and learner interactions

Focus on technology, tools, or course platforms

Common course types or platforms for researching online courses

Blended courses

Massive open online courses (MOOCs) and large classes

Asynchronous and synchronous courses

Comparing online, F2F, and blended courses

Sequencing of research design and implementation

Identifying a topic

Establishing the research context/participant selection

Determining data collection procedures

Determining data analysis procedures

Moorhouse et al. (2022)

Youngs (2021)

Strawbridge (2021)

Teng et al. (2004)

Chapter 6 Social media

Sites/topics of inquiry

Research methods

Data analysis

Dovchin and Shinjee (2022)

Qassrawi and Al Karasneh (2023)

Hanna and Nooy (2003)

Oliver and Exell (2024)

Duek and Nilsberth (2022)

Chapter 7 Digital games

Quantitative research

Qualitative research

Choosing a digital game

Identifying a research topic

Research design

Research design.

Sampling and data collection procedures

Ward et al. (2022)

Poole and Clarke-Midura (2023)

Dixon (2024b)

Calvo-Ferrer and Belda-Medina (2021)

Jabbari and Peterson (2023)

Chapter 8 Mobile applications for language learning

Affordances

Effectiveness

Affective impacts and user experience

Engagements and behaviors

Social learning

Most researched mobile applications

Choice of mobile applications

Research designs in MALL

Experimental designs

Cross-sectional studies

Longitudinal studies

Mixed-methods studies

Ethnographic studies

Data collection methods in MALL research

Surveys and questionnaires

Interviews and focus groups

Observational methods

Application usage data and analytics

Introspective methods

Data analysis and interpretation

Rosell-Aguilar (2018)

Loewen et al. (2019)

Zhang et al. (2022)

Alhujaylan (2024)

Hwang et al. (2024)

Chapter 9 Web-based corpora and web-based corpus platforms

Jiang and Hyland (2022)

Baker et al. (2013)

Norberg (2016)

Liu (2011)

Schaeffer-Lacroix (2021)

Section III Data collection methods

Chapter 10 Online surveys

3. Implementation.

Step 1

Sampling

Increase completion rate

Survey data analysis

Li et al. (2020)

Constantine et al. (2022)

Van Gorp et al. (2024)

Ma and Winke (2019)

Arndt (2023)

Chapter 11 Online interviews

Research on online language learning and teaching

Research involving geographically dispersed participants

Before the interview

During the interview

After the interview

Culpeper and Qian (2020)

Jin et al. (2021)

Garib (2022)

Mendoza and Ou (2022)

Resnik et al. (2023)

Summary of example studies

Chapter 12 Screen capture

Still images

Video screen captures

Annotating and analyzing screen captures

Vinall et al. (2024)

Smith (2009)

Balaman (2021)

Gan et al. (2023)

Luzón (2023)

Han and Reinhardt (2022)

Chapter 13 Eye-tracking

Initial considerations

Experiment design

Data collection and analysis

Révész et al. (2019)

Conklin and Carrol (2021)

Pellicer-Sánchez et al. (2021)

Aryadoust et al. (2022)

Wang and Pellicer-Sánchez (2022)

Kuperman et al. (2023)

5. Ethics and research integrity considerations.

6. Challenges and issues

Pre-study considerations

During data collection

Post-study challenges

Chapter 14 Response time data

Berger et al. (2019)

Skalicky et al. (2019)

Lemhöfer and Broersma (2012)

Brysbaert et al. (2021)

Patterson and Nicklin (2023)

Chapter 15 Keystroke logging

Online keystroke logging with FlexKeyLogger

Keystroke data preprocessing

Keystroke measures

Pauses

Revision

Bursts

Cognitive inferences from keystroke measures

Keystroke data analysis

Stevenson et al. (2006)

Leijten et al. (2019)

Chukharev-Hudilainen et al. (2019)

Bennett et al. (2020)

Vandermeulen et al. (2023)

Section IV Web-based tools for data analyses

Chapter 16 Automated text analyzers

Exploratory

Predictive

Inferential

Dimension 1

Dimension 2

Dimension 3

Dimension 4

Kim and Lu (2024b)

Polio and Yoon (2018)

Taylor (2021)

Elmas et al. (2025)

Breeze (2019)

Chapter 17 Generative artificial intelligence tools

Use of GenAI in the research workflow.

Validity and reliability of GenAI for quantitative studies.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

90-272-4419-7

9789027244192

OCLC:

1568046255