Idea Generation in Student Writing

Scott A. Crossley Georgia State University ; Kasia Muldner ; Danielle S. McNamara Arizona State University

Abstract

Idea generation is an important component of most major theories of writing. However, few studies have linked idea generation in writing samples to assessments of writing quality or examined links between linguistic features in a text and idea generation. This study uses human ratings of idea generation, such as idea fluency, idea flexibility, idea originality, and idea elaboration, to analyze the extent to which idea generation relates to human judgments of essay quality in a corpus of college student essays. In conjunction with this analysis, linguistic features extracted from the essays are used to develop a predictive model of idea generation to further understand relations between the language features in an essay and the idea generation scores assigned to that essay. The results indicate that essays rated as containing a greater number of ideas that were flexible, original, and elaborated were judged to be of higher quality. Two of these features (elaboration and originality) were significant predictors of essay quality scores in a regression analysis that explained 33% of the variance in human scores. The results also indicate that idea generation is strongly linked to language features in essays. Specifically, the use of unique multiword units, more difficult words, semantic but not lexical similarities between paragraphs, and fewer word repetitions explained 80% of the variance in human scores of idea generation. These results have implications for writing theories and writing practice.

Journal
Written Communication
Published
2016-07-01
DOI
10.1177/0741088316650178
Open Access
Closed
Topics

Citation Context

Cited by in this index (1)

  1. Written Communication

Cites in this index (0)

No references match articles in this index.

Also cites 41 works outside this index ↓
  1. 10.1007/978-94-010-0804-4_7
  2. 10.4135/9780857021069.n3
  3. 10.4074/S0003503314004047
  4. 10.4135/9781452276090.n42
  5. 10.1037/a0021671
  6. 10.4018/978-1-60566-667-9.ch004
  7. 10.1177/002221940203500104
  8. 10.1007/BF01464073
  9. 10.1348/978185409X421949
  10. 10.3758/BF03200836
  11. 10.3758/BRM.41.4.977
  12. 10.3758/s13428-013-0403-5
  13. 10.1002/j.2162-6057.2001.tb01049.x
  14. 10.1080/14640748108400805
  15. 10.2307/3587951
  16. 10.17239/jowr-2016.07.03.02
  17. 10.2307/356630
  18. 10.2307/356600
  19. 10.1348/978185409X421129
  20. 10.1007/s10674-005-0119-2
  21. 10.1111/j.1744-6570.1989.tb00675.x
  22. 10.1037/0022-0663.99.3.445
  23. 10.1207/s15328023top1701_7
  24. 10.1037/0278-7393.14.2.355
  25. 10.3758/BF03195739
  26. 10.3758/s13428-012-0210-4
  27. 10.1002/tesq.194
  28. 10.1016/j.jmathb.2011.11.001
  29. 10.1057/9780230511804
  30. 10.3758/BRM.42.2.381
  31. 10.1007/BF01464076
  32. 10.1207/S15326985EP3501_3
  33. 10.1037/0022-0663.86.2.256
  34. 10.3758/s13428-012-0258-1
  35. 10.1145/219717.219748
  36. 10.1016/j.chb.2013.10.060
  37. 10.2307/818100
  38. 10.1006/obhd.2000.2888
  39. 10.2307/817229
  40. 10.1002/acp.2350050505
  41. 10.1093/applin/amp058
CrossRef global citation count: 26 View in citation network →