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Chapter 7. Exploring the impact of data-driven learning in extensive reading

  • Gregory Hadley and Hiromi Hadley
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Beyond Concordance Lines
This chapter is in the book Beyond Concordance Lines

Abstract

While much of the research into the efficacy of data-driven learning (DDL) has focused on productive skills such as writing, less attention has been on how DDL affects receptive skills, such as reading. This chapter presents a four-year mixed-methods study, which investigates the impact of DDL on the extensive reading (ER) proficiency of second language learners in a Japanese national university. Conducted in three stages and under a wide range of class conditions, this study concludes that explicit forms of DDL are most successful with small groups and one-to-one instruction, where personal feedback and less pressure are key. Implicit forms of DDL tend to work best with larger class sizes, where it results in faster reading speeds and in greater amounts of material read.

Abstract

While much of the research into the efficacy of data-driven learning (DDL) has focused on productive skills such as writing, less attention has been on how DDL affects receptive skills, such as reading. This chapter presents a four-year mixed-methods study, which investigates the impact of DDL on the extensive reading (ER) proficiency of second language learners in a Japanese national university. Conducted in three stages and under a wide range of class conditions, this study concludes that explicit forms of DDL are most successful with small groups and one-to-one instruction, where personal feedback and less pressure are key. Implicit forms of DDL tend to work best with larger class sizes, where it results in faster reading speeds and in greater amounts of material read.

Chapters in this book

  1. Prelim pages i
  2. Table of contents vii
  3. Acknowledgements ix
  4. Introduction 1
  5. Chapter 1. Research in data-driven learning 9
  6. Chapter 2. Data-driven learning, theories of learning and second language acquisition 35
  7. Chapter 3. Looking back on 25 years of TaLC 57
  8. Chapter 4. L2 development of - ing clauses 75
  9. Chapter 5. Collocations in learner English 97
  10. Chapter 6. Profiling learners through pragmatically and error annotated corpora 121
  11. Chapter 7. Exploring the impact of data-driven learning in extensive reading 149
  12. Chapter 8. Data-driven learning 177
  13. Chapter 9. Scoledit 207
  14. Chapter 10. CEFR-J × 28 231
  15. Index 253
https://doi.org/10.1075/scl.102.07had

Chapters in this book

  1. Prelim pages i
  2. Table of contents vii
  3. Acknowledgements ix
  4. Introduction 1
  5. Chapter 1. Research in data-driven learning 9
  6. Chapter 2. Data-driven learning, theories of learning and second language acquisition 35
  7. Chapter 3. Looking back on 25 years of TaLC 57
  8. Chapter 4. L2 development of - ing clauses 75
  9. Chapter 5. Collocations in learner English 97
  10. Chapter 6. Profiling learners through pragmatically and error annotated corpora 121
  11. Chapter 7. Exploring the impact of data-driven learning in extensive reading 149
  12. Chapter 8. Data-driven learning 177
  13. Chapter 9. Scoledit 207
  14. Chapter 10. CEFR-J × 28 231
  15. Index 253
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